Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

See how LimCharlie's Agentic SecOps Workspace handles multi-tenant security operations at scale. This demo walks through real-world scenarios that MSSPs face daily: Unlike token-based AI tools that become cost-prohibitive at scale, this platform uses a flat-fee per analyst model. Every capability in your tech stack becomes accessible through AI-powered automation, and you maintain full control with granular permissions.

Managing the risks associated with the increasing use of AI agents and co-pilots is critical for every organization. A key challenge is that AI agents draft documents and influence decisions but they operate without a true understanding of a company's rules, culture, or risk. Like humans, AI agents are susceptible to failure. Humans are socially engineered, while AI agents are prompt engineered, and AI agents may "hallucinate" when context is missing, similar to how humans guess.

SecurityScorecard's STRIKE Threat Intelligence team has uncovered tens of thousands of exposed OpenClaw instances, many of which are vulnerable to Remote Code Execution (RCE). These exposed OpenClaw instances leave users and organizations open to attacks. OpenClaw and other agentic AI tools are designed to take actions on a user’s behalf, interact with infrastructure, and move across connected services. That functionality is the appeal. It is also the risk for users around the globe.

In this one-off exclusive podcast, Oliver Simonnet, CultureAI's Lead Cyber Security Researcher, sits down with William Jardine, Director at Reversec, and Richard Moore, CISO at 10x Banking, to explore the evolving realities of cyber resilience, AI adoption, and security leadership in a world where AI-driven workflows are becoming the norm.

See how NAKIVO brings clarity and control to Amazon EC2 data protection: fast agentless backups, layered security, flexible retention and instant recovery across your AWS environment.

My Boss Wanted an App by Morning... So I Used AI.

Is there really honour amongst cybercriminals or is it every hacker for themselves? On this episode of Razorwire, I’m joined by Martin Voelk, a seasoned ethical hacker, to take a look at how the world’s most notorious cybercriminal groups really operate. We trace the journey from early hacking culture to today’s sprawling underworld of digital organised crime. Along the way, we ask: What does “hacker” truly mean and who actually gets caught when the authorities close in?

On this episode of Masters of Data, we break down incident response from detection through containment, forensics, recovery, and postmortem. The foundation? Comprehensive logging. Without it, you're blind. We explore building cross-functional teams and a blame-free culture where people actually report issues. Communication is key: what you tell engineering isn't what you tell executives or customers. AI is accelerating investigations, but the fundamentals still rule: proper tool access, the right people on call, and translating technical chaos into business-speak. The takeaway?

How do AI guardrails protect infrastructure from the unsafe and unpredictable territory of LLM risks? An AI firewall or guardrail device sits between your applications and large language models to keep the data sent and received from LLMs safe, compliant, and high-quality. Its design is to inspect natural-language traffic and protect your infrastructure against LMM vulnerabilities, including prompt injection, jailbreak attacks, data poisoning, system prompt leakage, and OWASP Top 10 vulnerabilities, using advanced, proprietary reasoning models.

In this LightTalk series, A10's Gary Wang talks about all things agentic AIs, MPCs, and APIs. He explains how they are tied together, step by step, using an analogy of planning a trip to Mount Everest. He highlights the workflow's weaknesses and how API protection and AI firewalls can be key to securing this process.