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"The Davos of Cybersecurity": Team8's CISO Village Summit 2025 Gathers Cybersecurity Leaders from the NSA, Google, Checkpoint, Wiz, and more to Redefine Defense and Resilience in the Age of AI
"The Davos of Cybersecurity": Team8's CISO Village Summit 2025 Gathers Cybersecurity Leaders from the NSA, Google, Checkpoint, Wiz, and more to Redefine Defense and Resilience in the Age of AI

Yahoo

time17-06-2025

  • Business
  • Yahoo

"The Davos of Cybersecurity": Team8's CISO Village Summit 2025 Gathers Cybersecurity Leaders from the NSA, Google, Checkpoint, Wiz, and more to Redefine Defense and Resilience in the Age of AI

Charm Security and Fig Security are the big winners of the CISO Village Choice 2025 NEW YORK, June 17, 2025--(BUSINESS WIRE)--Last week, Team8, a global venture fund that builds and invests in companies across cybersecurity, data, AI, fintech, and digital health, as well as at their intersections, hosted its flagship CISO Village Summit 2025. The immersive five-day gathering in Miami and the Florida Keys brought together more than 100 out of the 600-strong CISO village representing the most influential companies in the world Under the theme "Cyber Resilience at Machine Speed: AI as Your Force Multiplier" this year's summit explored the rapidly changing cybersecurity landscape amid the rise of generative AI and autonomous technologies, examining how artificial intelligence is transforming both the nature of threats, the defenses built to counter them and the tantamount important of the people and communities behind them. Known as the "Davos of Cybersecurity," the CISO Village Summit featured a curated lineup of thought leaders, public officials, and industry pioneers, including: Anne Neuberger, former Deputy National Security Advisor for Cyber and Emerging Technology ; Nadav Zafrir, CEO of Check Point and Team8 Co-Founder; Ami Luttwak, CTO and Co-Founder of Wiz; Admiral Mike Rogers, former NSA Director and Team8 Operating Partner; Phil Venables, Former CISO of Google Cloud; Rich Baich, CISO at AT&T Marene Allison, former CISO of Johnson & Johnson; Jason Clinton, CISO of Anthropic; Dylan Patel, CEO of SemiAnalysis A key highlight was the 3rd annual CISO Village Choice Awards, held in partnership with Discount Bank and IDB Bank. Fifteen emerging cybersecurity startups showcased to their solutions to a highly engaged audience of global security executives. Charm Security won the Best Innovation Award, followed by Orchid Security as runner-up. Fig Security took home the Best Performance Award, with Astelia named runner-up. Notably, previous winners such as Dig Security (acquired by Palo Alto Networks) and Nagomi Security have achieved significant industry milestones. Departing from the traditional conference model, the summit was designed to break down silos, both technical and organizational. Through war-room simulations, candid 'unconference' debates, and hands-on threat modeling, participants were encouraged to confront today's biggest challenges in real time. Just as important were the wellness and connection experiences: mornings began with run clubs, floating meditation, and breathwork, while days and evenings included keynotes from 4-Time Olympic gold medalist Anthony Ervin and Leadership Expert David Mead, alongside intimate dinners. In one case, a participant at the end of the Summit added that "I feel like I was lost and found my people." The significance of the theme in this moment in time was particularly poignant: "Speed is the defining challenge in security today. Historically, back to the '90s and 2000s, we had traditional infrastructure and the risks associated with it. Then came the cloud, and the time it took to address cloud-related issues started to shrink. Now we're in the age of AI, and that timeframe is shrinking even more. Our ability to embrace AI, to think ahead and find innovative ways to reduce that speed is going to be critical." - Rich Baich, CISO at AT&T Liran Grinberg, Team8 Co-founder & Managing Partner and Amir Zilberstien, Team8 Managing Partner spoke on the power of the summit and said, "While the summit was a resounding success, the recent tragic events in Israel are a reminder of how critical it is for global leaders to build resilience in the face of escalating threats, both digital and physical. The greatest cybersecurity risk today is isolation, when defenders are left disconnected from one another, the technology, and the communities they serve, falters. This summit is designed to give them the platform, perspective, and global community they need to lead at machine speed." View source version on Contacts Ilan Fisher,Global Media Manager+972-50-460-7429

Training AI Agents Like Behavioral Scientists to Excel at Preventing Scams and Fraud: By Roy Zur
Training AI Agents Like Behavioral Scientists to Excel at Preventing Scams and Fraud: By Roy Zur

Finextra

time27-05-2025

  • Business
  • Finextra

Training AI Agents Like Behavioral Scientists to Excel at Preventing Scams and Fraud: By Roy Zur

As scams become more advanced and personalized, the tactics used to manipulate individuals are increasingly rooted in behavioral psychology. What once required blunt deception now relies on nuance: fraudsters exploit victims' fears, biases, and emotional vulnerabilities with surgical precision. With fraudsters now equipped with generative AI tools and attacking with psychologically driven tactics, it's not enough for banks to rely solely on traditional fraud detection systems. AI agents need to do more than flag suspicious transactions to keep up. They must be trained to understand people (both victims and scammers) and have the capabilities to deliver personalized insights, warnings, and conversations to help customers recognize and break free from a scammer's influence. Some of the world's largest financial institutions are beginning to realize that this training is necessary. In-house behavioral science teams like those led by Elizabeth Huppert, PhD, from JPMorganChase are now working hand-in-hand with fraud operations teams. The goal: to design technically accurate and psychologically effective intervention strategies. At Charm Security, after years of analyzing transactional data and behavioral patterns, we've learned that warning people that they're being scammed is very different from convincing them of it. The main challenge is moving from detection to effective prevention to 'Break the Scam Spell.' This shift reflects a broader truth: modern scam prevention is as much a psychological challenge as a technological one. Fraudsters know how to apply social engineering to induce urgency and exploit confirmation bias. If banks want to stay ahead of today's fraudsters, their AI tools must do more than transform back-office functions. They must be able to detect anomalies and respond with empathy, clarity, and personalized engagement. To achieve this goal, we must train AI models to think like behavioral scientists. In practice, this means simulating scam scenarios, reverse-engineering past incidents to understand emotional triggers, training AI with billions of scam identifiers, and clustering users by behavioral risk profiles, similar to how credit risk is modeled. Some banks have begun exploring real-time conversational interfaces that interact with customers during transactions. Instead of simply blocking a suspicious payment, these tools initiate a dialogue, explaining the risk and giving the customer a chance to reconsider. Early results suggest this approach significantly improves both scam prevention and customer satisfaction while mitigating reputational risk and lowering the false positive rates in certain cases. Of course, not all interventions are created equal. Poorly executed friction, like generic prompts, scripted questions, or robotic messaging, can erode trust. Worse, it can cause vulnerable users to disengage entirely or allow scammers to take advantage of the predictable scripts to manipulate their victims. This is where psychology matters most. A well-trained AI agent should know how to de-escalate, listen, and guide a user back to safety without shame or confusion. Ultimately, the future of scam prevention will depend on advanced AI models constantly trained on the latest scam trends and human vulnerabilities, increasing their ability to detect and intervene in real time. Banks that treat customer protection as a human challenge, compared to a compliance one, will be best positioned to lead. Training AI agents like behavioral scientists may sound unconventional, but in today's threat landscape, it's one of the most effective moves a bank can make.

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