AUSTIN, Texas and RESTON, Va., Jan. 31, 2024 /PRNewswire/ — SparkCognition Government Systems (SGS), developing trusted artificial intelligence (AI) solutions for defense and national security, and Carahsoft Technology Corp., The Trusted Government IT Solutions Provider^®, today announced a partnership to bring SparkCognition’s Visual AI Advisor to schools and Public Sector agencies across the country. Under the agreement, Carahsoft will serve as a Master Government Aggregator^® for SGS, making its computer vision technology available to the Public Sector through Carahsoft’s reseller partners and NASA Solutions for Enterprise-Wide Procurement (SEWP) V, Information Technology Enterprise Solutions – Software 2 (ITES-SW2), National Cooperative Purchasing Alliance (NCPA) and OMNIA Partners contracts.

“Carahsoft has a proven track record of delivering world-class solutions to Public Sector organizations at every level of Government,” said Art Sellers, President and General Manager of SGS. “Through our partnership with Carahsoft, we will expand Government agency and educational institution access to our Visual AI Advisor, elevating public safety and security with a more proactive approach.”

SGS Visual AI Advisor is a secure and proactive computer vision solution that leverages a combination of computer vision, deep learning and existing camera systems to analyze situations in real-time, provide actionable alerts to authorities and stop threats proactively. It scales to thousands of cameras using a low-code/no-code integration framework and deploys at the edge, ensuring privacy and enterprise security. The Visual AI Advisor detects a variety of threats – such as a person holding a weapon, intrusion, trip and fall hazards or a person in need of medical attention – all triggering real-time alerts, setting off on-premise alarms or automatically initiating safety procedures. Visual AI Advisor has been contracted on more than 147,000 cameras across 16 countries and features more than 125 pre-built use cases for safety, security, operational efficiency, quality control and situational awareness.

“SGS’s innovative solutions empower Public Sector organizations and Educational institutions to seamlessly integrate AI efficiencies into their existing security infrastructure, reinforcing public safety,” said Michael Adams, Program Executive for AI Solutions at Carahsoft. “Through our collaboration with our reseller network, we aim to introduce the Visual AI Advisor to the Public Sector, offering customers a robust tool to effectively manage and secure their security infrastructure.”

SGS’ solutions are available through Carahsoft’s SEWP V contracts NNG15SC03B and NNG15SC27B, ITES-SW2 Contract W52P1J-20-D-0042, NCPA Contract NCPA01-86 and OMNIA Partners Contract #R191902. For more information, contact the Carahsoft team at (703) 871-8548 or SparkCognition@carahsoft.com.

About SparkCognition Government Systems
SparkCognition Government Systems (SGS), a wholly-owned subsidiary of SparkCognition, is the first artificial intelligence (AI) company devoted entirely to government and national defense. By developing and operationalizing next-generation AI-powered systems, SGS enables government organizations to meet the needs of their most pressing national security missions. SGS advances government operations by analyzing complex data to inform and accelerate intelligent decisions, applying predictive and prescriptive analytics to improve logistics, deploying autonomy technology for power projection systems, using AI and machine learning for large-scale processing of unstructured data, and more. For in-depth information about SGS and its offerings, visit www.sparkgov.ai.

Contact
Cody Sibulo
csibulo@sparkcognition.com

About Carahsoft’s AI Portfolio 
Carahsoft’s Artificial Intelligence (AI) Portfolio includes leading and emerging technology vendors that are enabling government agencies and systems integrators to harness the power of AI and ultimately meet mission needs. Supported by dedicated AI product specialists and an extensive ecosystem of resellers, integrators, and service providers, we help organizations identify the right technology for unique environments and provide access to technology solutions through our broad portfolio of contract vehicles. Our AI portfolio spans solutions for Data Center & Hardware, Generative AI, Synthetic Data & Labeling, Autonomous Systems & Robotics, and more. Learn more about Carahsoft’s AI solutions here.  

About Carahsoft
Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, we deliver solutions for Artificial Intelligence and Machine Learning, Cybersecurity, MultiCloud, DevSecOps, Records Management, Open Source, Customer Experience and Engagement and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Visit us at www.carahsoft.com.

Contact
Mary Lange
(703) 230-7434
pr@carahsoft.com

SOURCE SparkCognition Government Systems

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DENVER, Jan. 31, 2024 /PRNewswire/ — Generative AI is driving one of the largest booms in productivity since the industrial revolution. However, enterprises operating in regulated environments are acutely aware of the risks associated with generative AI concerning data security, privacy and sovereignty. Fresh on the mind of executives are the high-profile leaks of proprietary information, leading to cascading bans on employees using this technology.

A recent survey by Salesforce reveals these bans may not be having the desired effect, with over half of the users who reported utilizing this technology indicating they are doing so without consent from their organizations. Further, a separate study conducted by Liminal showed that 63% of employees would be comfortable sharing personal or proprietary corporate data with generative AI tools, regardless of company policy.

A team of prior executives from Amazon Web Services and FIS joined forces to build Liminal, a unique security platform allowing regulated enterprises to safely use generative AI, across every use case. Their model-agnostic, horizontal approach ensures organizations have complete control over the data submitted to these tools in every interaction – whether through direct engagements, through the consumption of off-the-shelf software with generative AI capabilities, or via generative AI-enabled applications built in-house.

“We want every organization to have the ability to say yes to generative AI,” said Steven Walchek, Liminal’s Founder and CEO. “With Liminal, CIOs and CISOs can securely administer generative AI while protecting their most sensitive data across every use case, regardless of the model(s) they want to use.”

“Generative AI will continue to proliferate and become increasingly specialized. We have strong conviction in Liminal’s approach to solving for the critical barrier to organizational adoption,” said High Alpha Partner Eric Tobias. “We’ve been excited to invest in Steve, and the work of the Liminal founding team, since the first day we met. Their successes to date are empowering a new era of value creation driven by unlocking generative AI for enterprises in regulated industries.”

About Liminal

Liminal empowers regulated enterprises to securely deploy and leverage generative AI across all use cases. With Liminal, organizations have complete control over the data submitted to large language models (LLMs). Whether that be through direct interactions, through the consumption of off-the-shelf software with generative AI capabilities, or via the generative AI-enabled applications built in-house, Liminal’s unique horizontal platform helps ensure protection against regulatory compliance risk, data security risk, and reputational risk. Across every model, in every application you use, and in every application you’re building. For more information, visit liminal.ai or follow Liminal on LinkedIn.

Note to editors: Please visit Liminal’s Leaders Bio Page for additional founder backgrounds.

SOURCE Liminal

https://www.prnewswire.com/news-releases/generative-ai-safely-unlocked-for-regulated-industries-with-public-release-of-liminal-302046861.html

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REHOVOT, Israel, Jan. 3, 2024 /PRNewswire/ — Cognata LTD proudly announces its official collaboration with Microsoft. It uses Cognata’s cutting-edge, high-precision AI simulation for integration into its reference Software-Defined Vehicle (SDV) development toolchain. This Cognata and Microsoft collaboration aims to help OEMs shift left their automated driving validation and integration to bring to market new automated driving features faster.

Microsoft Azure, recognized for empowering customers and partners in advancing development practices, now includes Cognata as a strategic simulation partner. Based on Microsoft’s reference architectures for the SDV end-to-end toolchain and autonomous vehicle operations (AVOps), this collaboration extends from sensor solutions and closed-loop systems to Hardware-in-the-Loop (HiL) solutions, offering a comprehensive process evaluation spanning perception to control, all seamlessly integrated into a single platform.

Cognata’s simulation technology aligns seamlessly with Microsoft’s commitment to providing an end-to-end toolchain, incorporating developer toolchains, High-Performance Computing (HPC) capabilities, and versatile control planes for cloud, edge, and on-premises environments, revolutionizing the deployment and scaling of the SimCloud product. Users can experience a fully integrative solution that harmonizes effortlessly with other toolchain products with just a click.

In an exciting showcase at CES 2024, Cognata will demonstrate its capabilities at Microsoft’s Experience Center at the Wynn Hotel. The demo will showcase the integration of Synopsys’ virtual prototyping solutions for virtual Electronic Control Units (vECU) with Cognata’s deployment of SimCloud on Azure to enable complete virtualization of traditional Hardware-in-the-Loop (HiL) tasks in the cloud environment, reducing rooms full of hardware with virtual, endless, and scalable possibilities.

Integrating these innovative technologies marks a significant step in advancing simulation capabilities within the SDV development landscape, reinforcing Cognata’s position as a trusted and innovative solution provider in the autonomous vehicle industry. The SDV market size was valued at USD 35.8 Billion in 2022 and is expected to grow at a CAGR of 22.1% by 2032, to a value of USD 249.8 Billion.

“In a digital twin environment, AI algorithms can be tested and iterated rapidly. This accelerates the learning process, as adjustments can be made instantly based on performance data, leading to quicker improvements in AI behavior and capabilities,” says Danny Atsmon, CEO, and founder of Cognata. “Collaborating with Microsoft’s SDV cloud architecture and Synopsys’ virtual ECU facilitates extensive and concurrent simulation runs, shifting left and accelerating the development process significantly.”

“This collaboration among Cognata, Microsoft, and Synopsys will help to expedite the deployment of automated driving systems,” stated Dominik Wee, Corporate Vice President, Manufacturing & Mobility at Microsoft. “By harnessing the power of Microsoft’s reference architecture for Autonomous Vehicle operations (AVOps) and Software Defined Vehicle (SDV) toolchain, together with Cognata’s SimCloud and Synopsys’ virtual Electronic Control Unit solution, we are providing developers with the tools to build and test software with unprecedented efficiency and speed.”

“Digital twins are necessary to accelerate the development and validation of automated driving systems,” said Tom De Schutter, vice president of Engineering, Systems Design Group at Synopsys. “The combination of Synopsys virtual ECU solutions, Cognata SimCloud, and Microsoft’s SDV Cloud Infrastructure enables automotive companies to shift-left their AI-based training and validation.”

About Cognata

Cognata is a leading provider of digital twin-based simulation solutions for AI-driven training, testing, and validation of Autonomous Vehicles (AVs) and ADAS technologies. From defense applications, where we offer advanced off-road simulation, to smart cities, where we provide photorealistic digital twins and safety reports for municipalities and city planners, Cognata brings AI and accurate sensor simulation technologies to various sectors. While being a simulation platform, the Cognata system generates infinite, tailored datasets, fully and automatically annotated, which are being used as benchmarks in several organizations worldwide. Our commitment to providing a fast lane to autonomous driving is supported by state-of-the-art technology and extensive industry expertise.

For further information: https://www.cognata.com.

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Contact:
Shay Rootman 
shay@cognata.com 
www.cognata.com 

SOURCE Cognata

https://www.prnewswire.com/news-releases/cognata-shift-left-hardware-in-the-loop-testing-with-integration-into-microsofts-sdv-cloud-infrastructure-302025195.html

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This strategic collaboration with AWS will help Persistent to further increase the impact it delivers to its clients that are embracing generative AI. Through this teaming, Persistent will have access to additional resources from AWS to build proofs of concept to help clients identify tangible business outcomes from generative AI. This will also support use case discovery and rapid build out of solutions with additional go-to-market funds from AWS. One of the key benefits to combined clients will be continued early access to AWS’s generative AI services and investments that will help clients with their aspirations around growth, time-to-market, and better customer experience.

The Strategic Collaboration Agreement builds on Persistent’s 30+ years of software engineering heritage, its best practices from more than 120 AWS engagements for cloud migration and modernization, and its 2,500 AWS practitioners to enable flexible and scalable generative AI-powered solutions tailored to clients’ unique needs. Persistent’s AWS Migration Competency status provides proven cloud expertise to help clients move successfully to AWS through all phases of complex migration projects. This collaboration reflects Persistent’s proficiency in building robust cloud infrastructure, crucial in today’s cloud-first, AI-first world, enabling clients to implement cloud-powered generative AI solutions.   

These combined assets from AWS and Persistent can bolster the value provided to joint clients, helping them unlock the full potential of their technology investments.

Rajiv Sodhi, Senior Vice President – Hyperscaler Business & Strategic Alliances, Persistent:  

“Enterprises across industries are looking to tap into the transformative potential of generative AI to reimagine, redefine, and rethink their business models for improved customer experiences and business growth. Combined with our newly acquired AWS Migration Competency status and our SCA, AWS will help us scale generative AI adoption among our clients so they can identify and implement use cases where this technology can have a real impact. We remain committed to helping clients reach their technology goals by leveraging the agility, breadth of services, and rapid innovation that AWS provides.”  

Quan Yang, Vice President of Research IT, Regeneron:

“Generative AI unlocks new opportunities to transform the life sciences industry. We are modernizing our legacy research applications to help accelerate the drug development process and simplify workflows. With Persistent’s Digital Engineering expertise, powered by the AWS platform, Regeneron’s research and pre-clinical development teams help bring our new life-savings drugs to market faster.”

Chris Sullivan, Vice President, Worldwide System Integrator Partners, AWS:

“We are delighted to be working with Persistent to help our customers accelerate growth, enable business transformation, and enhance their digital experience. Together, we aim to redefine what’s possible with generative AI, setting new standards for efficiency, innovation, and technological advancements.”

About Persistent

With over 22,800 employees located in 21 countries, Persistent Systems (BSE: PERSISTENT) (NSE: PERSISTENT) is a global services and solutions company delivering Digital Engineering and Enterprise Modernization. As a participant of the United Nations Global Compact, Persistent is committed to aligning strategies and operations with universal principles on human rights, labor, environment, and anti-corruption, as well as take actions that advance societal goals. With 268% growth since 2020, Persistent is the fastest-growing Indian IT Services brand according to Brand Finance.

www.persistent.com

Forward-looking and Cautionary Statements

For risks and uncertainties relating to forward-looking statements, please visit persistent.com/flcs

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When a router or host encounters an issue processing an IP data packet, it will send an ICMP message to the source of the data. These messages include information like the original datagram and an error code.

Flow Control

One of ICMP’s primary uses is to report network communications errors. Suppose something happens during data transmission between two devices, such as a packet getting lost or an invalid header checksum. In that case, the sending device receives an ICMP message informing it of the issue.

Routers, the unsung heroes directing traffic across the internet, have a symbiotic relationship with ICMP. They use the protocol to communicate errors back to the sender, ensuring transparency in network communication and preventing problems that could lead to an outage in a large corporate environment. Furthermore, the ICMP protocol, vital for network diagnostics, facilitates the exchange of control messages and error notifications between network devices, ensuring efficient communication across interconnected systems.

For example, when a packet has an invalid header or is too big for its intended destination, ICMP will send a Destination Unreachable message to the sending device. Similarly, when a router deems a packet too old (its time-to-live field has expired), it will notify the source of the discarded box by sending a Time Exceeded message.

ICMP also supports the ping utility, one of the most popular ways to test a network for connectivity and latency. The mechanism also underlies another diagnostic heavyweight, ‘traceroute,’ which traces the path packets take from their origin to their ultimate destinations by analyzing intermediary routers’ “Time Exceeded” messages. This enables administrators to pinpoint potential points of failure and make adjustments accordingly.

Error Reporting

The IP protocol enables data transmission between devices but does not perform error reporting or exception handling. ICMP fills this role by providing communication between devices and the upper layers of the network when packet transmission experiences an error. This allows higher-layer protocols to handle error conditions more efficiently and ensures that the necessary components for network communication are delivered correctly.

ICMP messages are encapsulated within IP packets, so they are transmitted over the Internet and can be received by any device with an IP connection. These messages do not have a priority value, meaning they are not given special treatment by network devices and can sometimes be interrupted. This is a good design feature because it prevents a single ICMP message from creating a chain of error messages, which could overwhelm the network and lead to unnecessary slowdowns.

In addition to error-reporting messages, ICMP also delivers query messages that facilitate network diagnostics. For example, the ping and tracert programs use ICMP to determine how long data travels between routers. These devices are called hops in the ping and tracert programs, and the information revealed by these messages can be used to locate and troubleshoot issues with a network.

Other ICMP message types include the destination unreachable error, sent when a device detects a packet has not been delivered to its destination host. In addition, a source quench message can be sent to the message sender when the routers along the route experience congestion and cannot deliver packets.

Network Diagnostics

ICMP provides error reporting and diagnostic functions in addition to its core functionality as a protocol for Internet packet delivery. It enables network devices to communicate issues they encounter while forwarding IP data packets to upper-layer protocols such as DNS and SMTP.

For example, when a device receives an ICMP Echo Request message from another device, it responds with an ICMP Echo Reply to verify that the other device is functioning correctly. This exchange verifies device connectivity and provides valuable information about network latency and other factors.

However, ICMP can also be weaponized for malicious purposes such as Distributed Denial of Service attacks. This is accomplished by directing many ICMP messages toward a target system, which overwhelms and exhausts the system’s resources, leaving it unresponsive to users.

Error-reporting messages are at the heart of ICMP’s functionality, and some are particularly useful in troubleshooting issues in complex network infrastructure. For instance, the ICMP Destination Unreachable message sends a packet back to the packet’s source when routers or intermediate hosts determine that it cannot reach the destination device. Similarly, the ICMP source quench message notifies the packet’s source that its transmission rate should be reduced to prevent congestion. This is an excellent tool for reducing unnecessary traffic and lowering the probability of data packet loss.

Security

ICMP works at the network layer, integrating feedback and error reporting functions with IP operations. It informs upper-layer protocols about errors or exceptions during packet transmission, which helps them improve error control and flow control.

For example, if data packets of a particular size are too large for the router to handle, the router will discard them and send an ICMP message back to the originating device that explains what happened. This helps the sender take corrective action to avoid the issue in the future.

All ICMP messages are sent as datagrams, self-contained chunks of information holding the ICMP header and ICMP data part. The ICMP header contains a type and code, which determines the specific types of ICMP messages that can be sent. Each ICMP message also has a checksum to ensure that the ICMP data portion has not been corrupted during transmission.

Examples of ICMP messages include destination unreachable (Type 3), which indicates the router cannot forward the datagram to the intended destination host; source quench (Type 4), which informs the sending device that it is sending too fast and should decrease its speed; and time exceeded (Type 5) that tells the transmitting machine that the datagram’s time-to-live field is about to expire and that it needs to resend it soon. ICMP messages also let the network administrator know when the routers in the network are experiencing problems.

The post How ICMP Protocol Facilitates Error Reporting and Network Diagnostics first appeared on AITechTrend.

Unveiling the Strategic Collaboration

IBM’s partnership with AWS is a significant milestone in its ongoing transformation strategy. Through this collaboration, IBM will offer its extensive software catalog as Software-as-a-Service (SaaS) on the AWS platform. This move effectively grants AWS access to over 100 resources spanning IBM Consulting, IBM Software, and Red Hat. The announcement was met with enthusiasm, with Tom Rosamilia, senior vice president of IBM Software, stating, “By deepening our collaboration with AWS, we’re taking another major step in giving organizations the ability to choose the hybrid cloud model that works best for their own needs.”

IBM’s Hybrid Cloud Vision

This collaboration aligns seamlessly with IBM’s strategic vision, which CEO Arvind Krishna outlined last year. IBM is placing substantial bets on hybrid cloud, automation, and artificial intelligence (AI). The company firmly believes that the path to rapid digital transformation for its clients revolves around a hybrid cloud strategy. Notably, public cloud services play a pivotal role in this strategy, making partnerships like the one with AWS essential.

Financial Milestones

IBM’s financial performance underscores the significance of this strategic move. In the quarter ended March, IBM reported impressive revenues of USD 14.2 billion, representing a growth rate of 7.7 percent. Red Hat, a subsidiary of IBM, also posted remarkable numbers, with revenues soaring by 18 percent to around USD 1.41 billion. These figures indicate the growing importance of cloud and hybrid solutions in IBM’s revenue mix.

The Kyndryl Spinoff

IBM’s transformation journey includes strategic decisions like the spinoff of its infrastructure services business unit into a new company known as Kyndryl. While Kyndryl reported revenues of USD 4.4 billion for the quarter ended March 31, 2022, marking a year-over-year decline of 7 percent, this move allows IBM to focus more sharply on its core objectives in the cloud computing sector.

A Look Back: The SoftLayer Acquisition

To understand IBM’s evolution in the cloud arena, it’s essential to revisit its acquisition of SoftLayer in 2013. At that time, IBM’s then-CEO Ginni Rometty boldly declared that Watson, IBM’s top innovation, would run on the company’s power chips within SoftLayer. This acquisition aimed to position IBM as a formidable player in the cloud market.

Challenges and Realizations

However, SoftLayer’s cloud infrastructure, designed for smaller markets seeking cost-effective solutions, fell short in addressing the demands of larger organizations. AWS and Microsoft had already established themselves as efficient cloud infrastructure providers, offering enterprise-grade performance and reliability. This realization prompted IBM to make significant changes to its cloud strategy.

The Genesis Project

IBM embarked on a journey to rebuild its cloud infrastructure, initiating the Genesis project. This endeavor sought to create an enterprise-grade cloud system from scratch, incorporating cutting-edge technologies like 3D Torus and a high-performance disk. The goal was to minimize latency to less than 20 milliseconds and meet the demands of large enterprises.

The GC and NG Initiatives

In parallel, another group within IBM worked on a separate infrastructure architecture called GC, aiming to scale the cloud and introduce virtual private cloud technology. Eventually, both the Genesis and GC architectures became available in 2019, leading to internal conflicts and confusion. Unfortunately, by the time IBM’s cloud infrastructures were ready, market leaders like Amazon, Microsoft, and Google Cloud Platform (GCP) had already established their dominance.

Arvind Krishna’s Vision

Upon taking over IBM Cloud in January 2019, Arvind Krishna sought to streamline IBM’s cloud strategy. He aimed to end the dual-track infrastructure approach and focus on a single, unified cloud strategy. Krishna emphasized aligning the portfolio around hybrid cloud and AI, adapting to the evolving market needs.

The Current State

IBM’s recent successes paint a promising picture for its cloud endeavors. IBM’s Cloud Paks, AI-powered software tailored for the hybrid cloud landscape, achieved a remarkable 100 percent net retention rate. Arvind Krishna expressed confidence in the company’s direction, stating, “Today we’re a more focused business, and our results reflect the execution of our strategy.” Despite a temporary dip in cloud and cognitive software revenues, IBM is poised for growth in 2022.

Conclusion

The strategic collaboration between IBM and Amazon Web Services marks a pivotal moment in the world of hybrid cloud computing. As IBM continues to refine its strategy and align its offerings with market demands, the tech giant is positioning itself to play a central role in the evolving cloud landscape. The future holds exciting possibilities for businesses seeking flexible and innovative hybrid cloud solutions, and IBM is determined to be at the forefront of this transformation.

The post Cloud Computing Redefined: IBM’s Journey into the Hybrid Cloud with AWS first appeared on AITechTrend.

However, with the meteoric rise in the adoption of cloud computing, it comes as no surprise that the cloud has become an attractive target for hackers, giving birth to the ominous threat known as “cloud hacking.” In this article, we will delve deep into the world of cloud hacking and the pivotal role played by ethical hackers in safeguarding our digital ecosystem.

Understanding Ethical Hacking in Cloud Computing

The ubiquity of cloud computing is undeniable, with a staggering 98 percent of companies integrating it in some form or fashion into their operations. While the cloud is often perceived as more secure than traditional on-premises systems, it is not impervious to security breaches. The increasing frequency of cyberattacks on cloud infrastructure has driven businesses to seek trusted security experts capable of identifying vulnerabilities and fortifying their defenses. This is precisely where ethical hacking, also known as white-hat hacking, comes into play.

Ethical hacking involves the detection of vulnerabilities within an IT ecosystem through a range of hacking techniques, all carried out with the target’s full consent and awareness. In the context of cloud computing, ethical hackers undertake the critical task of scrutinizing cloud resources for security weaknesses, just as they would for any other IT environment. These skilled individuals play a multifaceted role, primarily aimed at identifying and rectifying security vulnerabilities within an organization’s cloud infrastructure.

Diverse Cloud Computing Models

Before we delve further into the world of ethical hacking in cloud computing, it’s imperative to understand the diverse models of cloud computing. These models are tailored to meet the specific needs of businesses and individuals. Here are some key classifications:

Public Cloud

Public cloud services are hosted and provisioned by third-party vendors, making them accessible to the general public. This model is ideal for businesses seeking scalability and cost-efficiency.

Private Cloud

Private cloud services cater exclusively to a single private customer and may be hosted either internally or by a third-party vendor. This model is well-suited for organizations with stringent security requirements.

Hybrid Cloud

Hybrid cloud solutions involve a combination of both public and private cloud services. Businesses can leverage general-purpose applications in the public cloud while safeguarding sensitive data in a private cloud database. This model offers flexibility and customization.

Exploring Cloud Computing Offerings

Ethical hackers working in the realm of cloud computing encounter various cloud service offerings, each with its unique characteristics. Some prominent cloud computing offerings include:

SaaS (Software as a Service)

SaaS provides customers with access to software applications while entrusting the cloud provider with updates and maintenance. This model is exemplified by productivity software like Microsoft Office 365.

PaaS (Platform as a Service)

PaaS equips customers with a platform for developing and running applications. Notable examples include Microsoft Azure Cloud Services and Google App Engine.

IaaS (Infrastructure as a Service)

IaaS grants customers access to hardware resources such as computing power, memory, storage, and network capabilities. Customers, in turn, supply their software to run on this infrastructure.

Unmasking Cloud Hacking Methodology

Having established a foundation in cloud computing and ethical hacking, let’s now shift our focus to the methodologies used in cloud hacking. Ethical hackers must be well-versed in these attack vectors to fortify cloud security. Here are some critical cloud hacking methodologies:

Brute-Force Attacks

One of the simplest yet effective methods of cloud hacking is brute-force attacks. This approach involves testing various combinations of usernames and passwords to gain unauthorized access to a system. Once inside, attackers can wreak havoc and exfiltrate valuable data.

Phishing

Phishing presents an alternative to brute-force attacks, with the aim of stealing user credentials by impersonating a trusted third party. Spear phishing is a more sophisticated variant, targeting specific individuals with meticulously crafted messages.

Credential Stuffing

If employees reuse their usernames and passwords across multiple services, organizations become vulnerable to credential stuffing attacks. Adversaries can exploit lists of stolen user credentials from previous breaches to access different IT systems.

The Vital Role of Ethical Hackers

In an era marked by the escalating cyber threats to cloud infrastructure, ethical hackers emerge as indispensable defenders of digital security. They ensure that businesses, regardless of their size or industry, have robust defenses in place to safeguard their invaluable assets.

The post Ethical Hacking in Cloud Computing: A Shield Against Threats first appeared on AITechTrend.

Introduction

Hybrid cloud computing marries the flexibility of public cloud services with the control of private infrastructure. This powerful combination allows businesses to scale resources up or down based on demand while keeping sensitive data and critical applications on-premises. In 2023, several companies have emerged as trailblazers in the hybrid cloud arena, offering innovative solutions that address the diverse needs of modern enterprises.

Advantages of Hybrid Cloud Computing

The advantages of hybrid cloud computing are numerous. It offers cost optimization, improved performance, data sovereignty, and seamless scalability. By leveraging a mix of public and private cloud resources, businesses can achieve a balance between operational efficiency and security, a feat that was once considered challenging.

Criteria for Selecting Top Hybrid Cloud Companies

Selecting the right hybrid cloud provider requires careful evaluation. Key criteria include service offerings, integration capabilities, security measures, pricing structures, and customer support. The top companies in this field excel in these aspects, making them stand out in a competitive market.

Top Hybrid Cloud Computing Companies

CloudCo

CloudCo boasts a comprehensive hybrid cloud platform that caters to businesses of all sizes. Their innovative solutions seamlessly integrate on-premises infrastructure with leading public cloud providers. With a focus on automation and efficiency, CloudCo empowers businesses to streamline operations and drive growth.

FlexiCloud Solutions

FlexiCloud Solutions takes a unique approach by offering customizable hybrid cloud environments. They understand that no two businesses are the same, and therefore, provide tailored solutions that align with specific organizational goals. Their emphasis on flexibility has garnered them a loyal customer base.

Nexus Cloud Tech

Nexus Cloud Tech stands out for its cutting-edge security features. They prioritize data protection in hybrid environments, offering advanced encryption and threat detection capabilities. Their platform is an ideal choice for businesses that handle sensitive information.

InnovateCloud Systems

InnovateCloud Systems focuses on delivering a seamless user experience. Their hybrid cloud solutions are known for their user-friendly interfaces and simplified management tools. This approach reduces the learning curve associated with adopting new technologies.

Unified Hybrid Cloud

Unified Hybrid Cloud specializes in simplifying hybrid cloud management. Their centralized dashboard allows businesses to oversee both public and private resources from a single location. This holistic view enhances operational visibility and control.

Case Studies: Real-world Implementation

Real-world case studies demonstrate the tangible benefits of hybrid cloud adoption. Companies across industries have successfully leveraged hybrid cloud environments to achieve cost savings, enhance agility, and drive innovation.

Future Trends in Hybrid Cloud Computing

The future of hybrid cloud computing looks promising. As technology evolves, we can anticipate advancements in automation, AI-driven insights, and containerization. These trends will further redefine how businesses deploy and manage hybrid cloud environments.

Security Considerations in Hybrid Cloud Environments

Security remains a paramount concern in hybrid cloud environments. Companies must implement robust security measures to safeguard data across diverse platforms. Collaborative efforts between cloud providers and businesses will be essential to mitigate risks effectively.

Challenges Faced by Hybrid Cloud Adopters

While hybrid cloud offers numerous benefits, it also presents challenges. Integration complexities, data synchronization, and compliance issues can pose obstacles for businesses adopting hybrid strategies. Awareness of these challenges is crucial for successful implementation.

Expert Insights: Industry Perspectives

Industry experts emphasize the strategic nature of hybrid cloud adoption. It’s not just about technology; it’s about aligning IT decisions with business objectives. Collaboration, flexibility, and long-term planning are essential elements for harnessing the full potential of hybrid cloud computing.

Making the Right Choice: How to Evaluate Hybrid Cloud Providers

Selecting the right hybrid cloud provider requires a methodical approach. Businesses should assess their unique requirements, evaluate provider capabilities, and seek recommendations. A provider that aligns with the organization’s vision and goals is more likely to deliver value.

Key Takeaways for Businesses

In conclusion, the hybrid cloud landscape in 2023 is marked by innovation and transformation. Businesses must carefully evaluate their IT strategies and consider hybrid cloud adoption to stay competitive. By selecting a reputable provider that offers tailored solutions, strong security measures, and scalability, companies can navigate the complex technological landscape with confidence.

Conclusion

Hybrid cloud computing has ushered in a new era of IT infrastructure management. The dynamic interplay between public and private clouds enables businesses to achieve optimal performance and security. As hybrid cloud adoption continues to rise, companies that embrace this model will be better positioned to navigate the challenges and opportunities of the digital age.

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1. Bitdefender Box: Protecting All Your Smart Devices

Bitdefender Box is an exceptional firewall hardware solution that provides comprehensive protection for all types of smart devices. Once installed, this device effectively blocks malware, prevents password theft, safeguards against identity theft, and fends off hacker attacks across all internet-connected devices. Bitdefender Box is compatible with various operating systems, including Windows, Mac, iOS, and Android. Additionally, it offers VPN (Virtual Private Network) capabilities, ensuring secure and private internet connections. This firewall hardware can also be utilized on a personal level, especially by parents seeking to protect their children from accessing inappropriate websites.

2. CUJO AI Smart Internet Security: Embracing the Power of AI and Machine Learning

While many security vendors still heavily rely on signature-based detection, CUJO AI stands out by utilizing cutting-edge technologies such as machine learning, data science, and AI. Their firewall, one of their flagship products, delivers unparalleled protection. The firewall’s machine learning classifier undergoes continuous training on diverse datasets, allowing it to identify malicious activities and anomalies within network traffic effectively. By analyzing behavioral patterns, CUJO AI’s firewall can predict potential dangers posed by websites or applications, providing advanced threat detection. With its multi-solution AI-driven software platform, CUJO AI offers network operators a powerful and intelligent firewall solution.

3. Firewalla: Simplified Firewall Protection for Everyone

Firewalla is a highly popular and user-friendly hardware firewall suitable for both homeowners and business owners with limited technical knowledge. This firewall solution combines multiple functionalities, including Firewall, IDS (Intrusion Detection System), IPS (Intrusion Prevention System), Behavior Engine, Network Management Station, and VPN server. Incorporating AI technology, Firewalla detects and alerts users about new devices connecting to the network, ensuring maximum security. It also promptly disables suspicious devices attempting to breach the network’s security, providing comprehensive protection against potential intrusions. Notably, Firewalla alerts users when they click on malicious links (such as phishing or malware) on their PC, tablet, or phone, and also detects instances where malware or infected files are being installed on connected devices.

4. FortiGate Next Generation: High-Performance Security for Your Network

The FortiGate Next Generation firewall, developed by Fortinet, offers high-performance network security, effectively preventing unauthorized access to your network. This firewall hardware provides advanced features such as application and user visibility, SSL inspection, and detection of unknown threats. With FortiGate, you have the ability to establish customized internet rules, enforce granular security policies, and gain visibility into users and devices for various applications. The firewall also offers real-time views of network activity through actionable application and risk dashboards and reports, empowering you to enhance your cybersecurity infrastructure significantly.

5. Protectli: Industry-Leading Firewall Devices

Protectli is a reputable provider of firewall devices known for offering some of the best options in the industry. Their products range from devices with 2 ports to those with 6 ports, catering to diverse network requirements. All Protectli firewall appliances feature a fanless and solid-state design, ensuring durability and longevity. An outstanding advantage of these appliances is their open-source nature, allowing users to have full control over the operating system that runs their network. With Intel-powered hardware, Protectli firewall devices deliver exceptional performance and reliability. To explore the available options, please visit their website.

6. SonicWall TZ400: Power-Packed Internet Drawbridge

SonicWall, headquartered in Silicon Valley, is renowned for its cybersecurity solutions. Among their top-tier products is the SonicWall TZ400 firewall hardware. This powerful firewall acts as an internet drawbridge, ensuring that intruders have no access to your network. The SonicWall TZ400 is equipped with SonicWall’s patented Reassembly-Free Deep Packet Inspection technology, providing enhanced security. Additionally, this firewall device offers lightning-fast transfer rates, supports multiple WAN (Wide Area Network) connections, and effectively protects against high-end attacks like Denial of Service (DoS). With its comprehensive features, the SonicWall TZ400 firewall is an excellent choice for taking your cybersecurity infrastructure to the next level.

7. SonicWall SOHO: Uncompromising Security for Small Offices

The SonicWall SOHO firewall device is designed to provide small offices with big-business protection and uncompromising security across both wired and wireless networks. By utilizing the TZ Series Unified Threat Management (UTM) firewalls, SonicWall ensures comprehensive network protection. The firewall covers multiple security aspects, including intrusion prevention, network-based anti-malware mitigation, content and URL filtering, and anti-spam services. SonicWall SOHO performs traffic inspection across all ports without compromising performance, offering a reliable and efficient firewall solution for businesses of all sizes.

8. Ubiquiti Unifi Security Gateway: Advanced Firewall and Router Combo

Ubiquiti Unifi Security Gateway is a versatile device that functions as both a router and a firewall. With its gigabit Ethernet speeds, this two-in-one solution effectively safeguards your network from intruders. By routing all incoming traffic through the firewall before reaching the router, Ubiquiti Unifi Security Gateway ensures thorough monitoring and protection of incoming data. Additionally, this advanced firewall device offers a range of network management features, enabling you to efficiently manage and secure your network infrastructure. Suitable for both home and business networks, Ubiquiti Unifi Security Gateway is a reliable choice for enhancing your cybersecurity defenses.

9. WatchGuard Firebox T15: Secure Protection for Remote Workers

WatchGuard Firebox T15 is a versatile firewall device that can be seamlessly deployed in various network environments. Particularly well-suited for small or home offices, the Firebox T15 provides full UTM protection for remote workers and smaller sites. With its Total Security Suite, this firewall hardware offers cost-effective security solutions, including ransomware prevention and data loss prevention. WatchGuard Firebox T15 ensures that your network remains secure and protected from a wide range of threats, making it an ideal choice for businesses seeking comprehensive cybersecurity measures.

10. Zyxel ZyWALL 110: Enhanced Protection with VPN Capabilities

Zyxel ZyWALL 110 is a VPN firewall designed to deliver robust protection against cyber-attacks without compromising network performance. This firewall hardware solution offers security for both local and remote networks, allowing users to establish secure VPN connections to their local networks even when accessing them remotely. With its faster processing capability, ZyWALL 110 prevents attackers from decrypting VPN tunnels, ensuring secure communication. Furthermore, this firewall device automatically switches to the backup connection in case of primary link failure and seamlessly switches back to the primary connection once it is back online. Another notable feature of ZyWALL 110 is its website content filter, a vital component of any firewall. With its comprehensive features and reliable performance, ZyWALL 110 has become a sought-after firewall solution in the industry.

In conclusion, protecting your organization’s data and network from cyber threats is of utmost importance in today’s digital landscape. A robust cybersecurity infrastructure begins with a reliable firewall. The top 10 firewall hardware options discussed in this article offer advanced features, exceptional performance, and comprehensive protection. Whether you’re a homeowner looking to secure your home network or a small business owner aiming to fortify your cybersecurity defenses, these firewall devices provide the necessary tools and functionalities to safeguard your valuable data. By implementing the right firewall hardware, you can ensure a secure online environment, mitigate potential risks, and stay one step ahead of cyber attackers.

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Distinguishing Human and AI-Generated Content

One major concern surrounding AI is the potential blurring of lines between human-generated and AI-generated content. To tackle this issue, Google is actively working on developing technologies that allow people to differentiate between these two types of content. At the recent Google I/O event, the company unveiled a “watermarking” solution that labels AI-generated images. This significant step demonstrates Google’s commitment to transparency and responsible AI use.

Copyright Protection in Generative AI

Generative AI models, capable of producing music lyrics and generating code, have captured the attention of academics and businesses worldwide. However, regulators, including EU policymakers, express concerns about copyright infringement and the impact on artists and creative professionals who rely on royalties. Recognizing these concerns, Google is collaborating with the EU government to ensure that generative AI training data adheres to copyright laws. By doing so, Google supports the protection of artists’ rights while fostering innovation in the AI landscape.

Collaborating with the EU Government

Google values collaboration and recognizes the importance of working closely with regulators to address their concerns. Thomas Kurian emphasizes the ongoing productive conversations with the EU government and the commitment to finding a path forward. This collaboration allows Google to gain a deeper understanding of the EU’s perspectives and priorities, fostering a harmonious relationship that drives responsible AI development.

Internal Concerns and Ethical Considerations

While Google remains dedicated to responsible AI, internal discussions reflect a diversity of opinions. Some employees have expressed concerns about the rapid pace of AI development within the company. For instance, the announcement of Bard, Google’s generative AI chatbot, triggered internal debates and discussions on the ethical implications of such advancements. Google values the input of its employees and continues to navigate these discussions to ensure that ethical considerations remain a priority.

Google’s Willingness to Embrace Regulation

Contrary to concerns that tech companies resist regulation, Google wholeheartedly welcomes it. Kurian states that powerful technologies like AI should be regulated responsibly. Google recognizes that collaboration with global regulators is crucial to establishing frameworks that govern AI technologies appropriately. The company actively engages with governments in the European Union, the United Kingdom, and many other countries, demonstrating its commitment to shaping the AI landscape responsibly.

A Holistic Approach to AI Regulation

While governments work on formal regulations for AI, tech companies are not sitting idle. Google, among others, is taking proactive steps to introduce guardrails and oversight to AI technologies. This approach ensures responsible AI development while regulators catch up with the pace of innovation. By self-regulating and implementing safeguards, companies like Google contribute to building a sustainable and ethical AI ecosystem.

Conclusion: Shaping the Future Together

The conversation between Google and EU regulators signifies a crucial step towards shaping the future of AI. By actively engaging in discussions and addressing concerns related to AI regulation, Google demonstrates its commitment to responsible AI development. Collaboration between industry leaders and regulators is vital to strike the right balance between innovation and ethics. As AI continues to evolve, it is essential to prioritize transparency, copyright protection,

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