Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Today we're speaking with Tamas Kadar, CEO / Co-Founder of SEON, about building a safer digital world for businesses. We touch on fraud, how it's evolved in the age of AI, and what we can do to protect ourselves against it. Tamas' entrepreneurial path began at Corvinus University in Budapest, where the vision for SEON first took shape. Co-founding a cryptocurrency exchange opened his eyes to the scale and complexity of online fraud, sparking the idea for something better. In 2017, that “something better” became SEON.

This episode explores how defence in depth is changing in an AI enabled business world, where code driven systems, supply chain risk and offensive AI are moving faster than defenders can react. It looks at why human in the loop is failing, why visibility still comes too late, and what modern cyber defence needs to become next.

Enterprise leaders are not facing one infrastructure decision at a time anymore. Modernization, AI adoption, security hardening, and cost containment are all landing on the same desk simultaneously, and rising licensing costs plus a shifting VMware ecosystem are forcing decisions enterprises did not expect to make in this cycle.

Real-time visibility into your vendor ecosystem changes everything about how you manage third-party risk. In this latest edition of SecurityScorecard's Demo Tuesdays, get an introduction to TITAN Watch — and see how security teams are moving from stale, periodic reviews to continuous, always-on intelligence across their entire vendor ecosystem. Watch the demo below.

ChatGPT is read-only, but AI Agents take action on your behalf. What happens when they go rogue? Discover the hidden cybersecurity risks of Agentic AI and unauthorized remote execution. AI gateways were built for a world where AI meant "prompt in, response out." That world is gone. Today, AI agents call APIs, trigger workflows, and take actions across your enterprise systems autonomously. This massive shift from passive data exfiltration to active, unauthorized execution requires a completely new security model where every input is treated as potentially hostile.

Restrict access to AI tools and you curb innovation. Open it up and security risks multiply. And then there's a third problem: approved tools behaving in unapproved ways. Security and IT leaders are navigating a new and fast-moving problem - employees using AI to build workflows, automations, and agents faster than anyone can track or govern. The question isn't whether it's happening. It's what to do about it.

https://www.tines.com/wildcode

Turn every analyst into a power user. Security investigations shouldn't take 45 minutes of tab-switching and manual querying. In this 20-minute walkthrough, Cyberhaven Director of Product Management Dave Stuart demos the Analyst Plugin, and shows how a single conversation replaces the queue.

We're starting to see the pendulum swing as customers ask us about detecting fraud that doesn't involve GenAI.

GLM 5.2 just launched from Z.ai, and it might be one of the biggest threats yet to the frontier model premium. It’s open, significantly cheaper than Claude Opus 4.8, and claims to deliver near-frontier coding performance across major benchmarks. But benchmarks only matter if the model can actually build something production-ready.