SAN FRANCISCO, Jan. 31, 2024 /PRNewswire/ — Vade, a global leader in AI-powered threat detection and response with more than 1.4 billion protected mailboxes worldwide, today announced that it has pioneered a new method that improves the confidence of its spear-phishing detection engine. The enhancement, designed to combat advanced threats including those produced by generative AI, leverages threat samples created by artificial technology and human sources.

The new method trains Vade’s spear-phishing algorithms on a unique combination of traditional and artificially generated spear-phishing emails. Vade has confirmed that the enhancement increases the confidence of detection across seven spear phishing classifiers, or categories. These range from scams involving W2 fraud, payroll fraud, banking fraud, and more. In the US, W2 fraud accounts for the largest improvement, seeing a 50% increase in confidence, followed by banking fraud at 30%. W2 fraud, which surges during the US tax season, occurs when attackers attempt to fraudulently obtain employee W2s. Vade is implementing the enhancement just as W2 fraud volumes have increased by more than 130% between December and January. 

Spear phishing is the costliest cyberthreat for businesses and consumers worldwide. According to the Internet Crime Complaint Center (IC3), reported losses globally from spear-phishing attacks amounted to $2.7 billion (USD) in 2022. That figure is expected to increase significantly in the coming years, especially with the emergence of generative AI tools that aid in content creation.

“We are entering a period of unprecedented transformation in cybersecurity,” said Adrien Gendre, Chief Technology and Product Officer at Vade. “Generative AI is becoming a gamechanger. It gives hackers new capabilities to deploy advanced attacks at scale and security vendors the opportunity to keep pace. As a leader in cybersecurity, we have long recognized the need to embrace generative AI as a force for good. And we are. We’re fighting fire with fire.”

Historically, spear phishing emails commonly contained characteristics that made them easier to detect as fraudulent, such as spelling and grammatical errors. Generative AI platforms can eliminate these factors, producing error-free text in any language. This enables foreign attackers to localize spear phishing emails and increase the appearance of legitimacy.

Since generative AI’s growth in popularity, Vade researchers have observed a significant increase in the quality of observed threats. And while generative AI creators have instituted safety controls to prevent misuse of their platforms, Vade analysts have conducted internal tests that demonstrate the ability to circumvent these measures.

Vade is implementing the enhancement for its email security suite, Vade for M365. Once complete, organizations will immediately see the benefits of the update.

Request a demo of Vade for M365

About Vade
Vade is a leading cybersecurity firm specializing in AI-driven threat detection and response solutions for Microsoft collaboration suite, with a focus on serving Small to Medium-sized Businesses (SMBs) and their Managed Service Providers (MSPs). With a global presence across eight locations, including the United States, France, Japan, Canada, and Israel, Vade’s flagship product, Vade for Microsoft 365, seamlessly provides supplementary cybersecurity services for Microsoft’s collaboration suite. The company’s best-in-class security solutions integrate robust AI-driven protection and automated threat remediation, resulting in improved efficiency, reduced administrative overhead, and optimized cybersecurity investments.

Vade provides distinctive protection against phishing, spear phishing, and malware, ensuring error-free configurations and enabling rapid deployment. Vade is a trusted choice for some of the world’s leading internet service providers and security solution providers, ensuring the security of 1.4 billion email inboxes.

To learn more, please visit www.vadesecure.com and follow us on Twitter @vadesecure or LinkedIn https://www.linkedin.com/company/vade-secure/.

SOURCE Vade

https://www.prnewswire.com/news-releases/vade-enhances-spear-phishing-detection-using-generative-ai-for-next-generation-threats-302048643.html

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I am a co-founder of Dodgeball and serve as CTO, meaning my role is to take on potentially any task, though I specialize in technology. 

Dodgeball is a trust and safety orchestration platform. Employing a variety of the latest technologies, including machine learning and no-code automation, we are able to power end-to-end fraud prevention and customer trust operations. We offer trust and safety teams understanding of the real pulse of their operations, additional control, and insight. All while capturing previously lost revenue and delivering a great customer experience.

What are some of the distinctive features of DodgeBall that differentiate you from your competitors?

Dodgeball combines signals from a variety of sources, including customer data stores and external integrations such as payment processors, data enrichment services, and fraud engines to name a few categories. Using AI and all of the signals available, Dodgeball generates a unified customer history providing a single view of their interactions and behavior enabling trust and safety teams to make faster and better decisions. Dodgeball also features a no-code automation builder for orchestrating trust and safety workflows. By creating decisioning logic in Dodgeball, trust and safety teams are further decoupled from development constraints that have historically led to slower responses to emerging threats as systems grow and become more complex. The time between incident and response has a severe impact on revenue lost to both fraud and false declines. Allowing trust and safety teams to adjust decisioning logic in near real-time to respond to observed threats means less loss, higher revenue, and a better customer experience. 

Can you give us a sneak peek into some of the upcoming product upgrades that your customers can look forward to?

Dodgeball is pre-launch. We are looking for early-access partners who are currently experiencing issues with trust and safety on their platforms. Please reach out through our website (https://www.dodgeballhq.com/) for more information.

 Give 3 important tips that can strengthen an organization’s information security program?

Information is intangible, making it difficult to visualize the security measures put in place to protect it. However, if we swap information for something tangible and valuable in our minds, say gold, for instance, it gets much easier to understand the principles of security; just look at a bank:

1. Banks operate on the principles of trust and authority. Only trusted individuals are able to take certain actions, and some actions require the approval of several departments or parties. Treat your infrastructure and data the same way; limit what actions can be taken using an IAM tool to as few trusted individuals as possible.
2. Banks have multiple layers of security in place. If an attacker manages to outwit one security measure, they may be thwarted by another. By making applications more complex to attack without consequences or major preparation, organizations can also deter attacks.
3. Banks practice security drills. By planning for attacks, organizations can make better decisions when they occur. Write down an incident response plan. Figure out which systems to check first for infiltration, how quickly the application can be restored to a previous state, and how quickly external access can be shut down.

Those are a few examples, though there are many more lessons that can be learned by studying organizations that have dealt with issues of trust and safety, such as the government, military, insurance, and information security companies. The ways in which an attacker may harm your organization are constantly evolving, and so too must your defenses and mitigation strategies. 

What trends have you seen emerge in Artificial Intelligence for Data Security in the past couple of years?

Machine learning is at the core of many innovative data security companies out there. There are huge benefits offered by its utilization, though there is much hype and confusion about its limitations. In that vein, be sure you understand how ML is actually utilized when evaluating a new solution to ensure it is a good fit for the technique. I caution that many organizations view it as a silver bullet buzzword for charging higher prices, without demonstrable improvements over existing processes. That being said, ML is changing the world and leading to the disruption of many industries, so it’s a goldmine for innovation when applied thoughtfully.

How do you keep pace with the rapidly growing AI Solutions product for businesses?

Honestly, it can be hard to keep pace with the latest AI solutions, given how quickly they are evolving. It seems like every day there is some new innovative technique, most of which are very problem-specific. Because it can be a full-time job keeping up-to-date with the latest techniques, I recommend subscribing to publications that consolidate the available information for you. Some of my favorite sources are Medium articles, YouTube, industry-focused publications like aiTech Trend, and tracking recent venture capital investments. You can always dive deeper into a particular subject if it catches your eye and looks at the latest academic research published on it. 

When diving deeper into a subject, I recommend attempting to teach it to others to test your recall and determine if there are any terms you do not fully understand. If you drop “CNN” in a conversation, you should be prepared to answer what a convolutional neural network does, how it works, and where it is applicable. This can lead to a lot of digging in the beginning, but it leads to strong foundations on which to accurately discuss a subject.

Where do you see the biggest areas of improvement for AI for IT Operations?

I think we’ve only scratched the surface of what’s possible with AI for IT Operations. Making it easier to implement AI, without the need for programming experience, will increase the number of applications and internal processes AI can be used for. To that end, no-code automation is a large area for improvement.

What breakthroughs in the IoT space are you most looking forward to from a technology perspective?

Bluetooth mesh networking is enabling low-power IoT devices with fault-tolerant communications. This opens up a whole new range of applications across many industries and will lead to a massive influx of additional sensory data about the environment. Filtering and making sense of all that data will require sophisticated AI, and will give organizations a better understanding of their processes.

What is that one quote that has stayed with you throughout your professional life?

“Do the best work in the world that you can, till the best you can do is all done.”

Patrick Bio:

I’m Patrick Teague, the CTO, and co-founder of Dodgeball. In my free time, I enjoy long-distance running, gardening, and making fermented hot sauce, though software is my true passion. I taught myself to program at 13, designed an experiment to test Robert Trivers’ theory of reciprocal altruism, and have been hooked ever since. I am a Founder Institute graduate with 10 years of professional experience in the software engineering industry. I’ve served in positions ranging from junior javascript engineer to chief software architect at companies ranging from pre-seed to Fortune 500. I have worked at companies across many industries that have all experienced issues with trust and safety. I believe the world should hold more trust, as trust is the root of all freedom. I believe that as our lives have increasingly moved online, so has our ability to commit anonymous harm risen. I believe trust and anonymity can coexist, but that we need better solutions than we have available today to protect ourselves.

Dodgeball Bio

For Trust & Safety teams who don’t have the engineering resources to build the platform and processes that work for them, DodgeBall orchestrates both the technology and human elements of their end-to-end operations. With a no-code engine that puts control of fraud tool integrations and policy definition directly in the hands of your team, the Customer Data Platform offers a single pane of glass to investigate and manage visitor risk across the entire transaction journey.

To find out more visit: https://www.dodgeballhq.com/​

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By applying NLP to investment research and analysis, AI can gather key insights, summarize and create potential action steps from data that wealth managers can use in their investment decisions.

What is Artificial Intelligence?

AI is a branch of computer science that’s defined as technology that simulates human-like reasoning by learning from data. In the asset management industry, AI uses computer algorithms to replicate human behavior based on historical data and then make better decisions.

For instance, AI can search across a portfolio and find trades that produce the best results based on historical data.

For example, you can tag information like the date the transaction was made or the instrument the money went to. This would allow AI to be able to look through the data and find relevant data.

What are the benefits of AI in asset management?

AI can perform thousands of jobs that were previously requiring highly-skilled, professional investment professionals.

AI can: Algorithmically predict trading strategy. Find low-cost funds or specific investment strategies. Appraise stocks to provide critical, high-level insights. Accelerate the analysis and discovery process. The growing demand for quantitative data is motivating asset managers to move quickly to embrace AI.

The National Council of Underwriting Management states that more than two-thirds of insurance companies are using data analytics to better understand their clients and to grow their businesses. Asset managers that embrace AI will benefit from greater productivity and reduced costs, as well as improved risk management and profitability.

How does AI assist in investment decisions?

To create tailored investment solutions, asset management companies use both structured and unstructured data to guide investment recommendations. This type of structured data refers to data that can be categorized into specific logical boxes that AI can interpret. Unstructured data refers to data that can’t be stored or reviewed into logical, linear categories.

The introduction of AI can transform the way wealth managers approach investment research by analyzing financial, data, and social media content to create more valuable investment recommendations. Hiring the right technology is just the first step. Ensuring it is in the right place to support your business requires strong data management, user experience design, and intuitive design.

Conclusion

The asset management industry is changing at a rapid rate and the adoption of innovative tools and services is accelerating. Financial firms are turning to AI to identify investment opportunities and better monitor macro-economic and industry-specific trends, as well as to implement the right strategy to drive out performance and capture value for clients.

The asset management industry has been a leader in using emerging technology in recent years and is likely to remain so in the future. As fintech start-ups continue to enter the asset management space and invest in technologies such as AI and blockchain, the future of financial services is likely to be defined by technology. However, AI can only be leveraged if there is strong industry-wide adoption.

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ArchiTek Corporation today announces “AiOnIc”, its first in-house created chip based on the proprietary ArchiTek Intelligence^® Pixel Engine (aIPE) architecture. The ArchiTek Intelligence architecture is at the forefront of Edge AI processors currently in development around the world. In a NEDO funded project^[1] using SLAM, an application essential for self-driving vehicles,^[2] AiOnIc reduces processing time to 1/20th of the speed of general purpose CPUs. Similarly, when performing OpenPose, an algorithm that calculates skeleton and pose estimation, AiOnIc achieves operating speeds approximately four times faster compared to that of the world’s leading GPUs.

Realizing an ultra-compact, low power and high efficiency “fanless” processor

AiOnIc is the first prototype LSI using ArchiTek Intelligence, proving this high performance architecture can be packaged in a low-power, compact 12 nm silicon. AiOnIc does not need a cooling fan, so a sealed water-proof and dust-proof system can be easily designed and built.

ArchiTek Intelligence supports a variety of algorithms by dynamically recombining hardware components of CPUs, GPUs and application specific LSIs, and then enables the simultaneous execution of multiple processing in real time and with low latency. Due to its highly efficient hardware processing, ArchiTek Intelligence is ideal for use in integrated systems, such as smart security cameras, drones, robots, autonomous vehicles and other applications that have high-performance and low-power requirements for Edge AI.

AiOnIc Specifications

• Process: 12 nm (N12FFC) TSMC
• Package: FCCSP, 12 mm × 12 mm
• Die size: 4.5 mm × 4.5 mm
• Supply voltage: 0.9 V, 1.8 V
• Power consumption: Under 1W
• Built-in CPU SiFive RISC-V^[3]
• Built-in SRAM 8MB
• Computer Vision Acceleration
• General purpose matrix adder and multiplier
• High efficiency General Purpose GPU (for parallel processing)

“AiOnIc delivers the holy grail for Edge AI processors by delivering true high performance with extremely low power at a fraction of the price of GPUs,” says Shuichi Takada, ArchiTek CEO. “Our groundbreaking ArchiTek Intelligence computer architecture, combined with our low-cost AiOnIc processor, opens the door to deliver the promise of AR, VR, smart cities and countless other 21st century use cases by proliferating AI on the Edge.”

For more information and availability inquiry, please contact Hassan Toorabally, CIO Global Business at hassan@architek.ai or visit www.architek.ai.

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“As institutional demand for transparent, exchange-listed crypto derivatives continues to increase, we are pleased to launch our new Ether futures contract,” said Tim McCourt, CME Group Global Head of Equity Index and Alternative Investment Products. “The addition of Ether, along with our liquid Bitcoin futures and options, will create new opportunities for a broad array of clients, whether they are looking to hedge ether positions in the spot market or gain exposure to this cryptocurrency on a regulated derivatives marketplace.”

“Just like in other capital markets, derivatives have become the avenue of choice for institutions to access cryptocurrencies,” said Sui Chung, CEO of CF Benchmarks. “Our status as a U.K. FCA regulated benchmark provider, whose compliance is regularly audited by Deloitte, gives institutions further confidence to enter the cryptocurrency space via the CME Ether futures contact based on our CME CF Ether-Dollar Reference Rate. For the first time, investors can gain exposure to the second-largest cryptocurrency by market cap via a U.S.-regulated futures contract. Just as Bitcoin futures paved the way for institutions to enter the crypto market in 2017, so CME Ether futures will allow CME Group clients to gain even greater exposure to the asset class.”

“CME Group has been an integral participant in the continued institutionalization of this asset class, and the launch of Ether futures is yet another milestone,” said Michael Moro, CEO of Genesis Global Trading Inc. “Genesis is excited to continue to work closely with CME in this effort.” 

“The launch of CME Ether futures is an exciting addition to the digital assets ecosystem as it evidences the ongoing maturation of the asset class as a whole,” said Michael Sonnenshein, CEO of Grayscale Investments. “At Grayscale Investments, we’ve seen enormous growth in investor interest for Ethereum and we’re excited to see the growing list of financial product offerings expanding access to digital currencies.”

CME Ether futures are cash-settled, based on the CME CF Ether-Dollar Reference Rate, which serves as a once-a-day reference rate of the U.S. dollar price of Ether. Ether futures are listed on and subject to the rules of CME.

For more information on this product, please visit www.cmegroup.com/etherfutures.

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