Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this video, I explore OpenAI’s Codex CLI tool to see how powerful it really is for coding with AI. But things quickly go off the rails… what started as a simple test ended with a surprise identity verification request. Apparently, to continue using the tool, I need to submit a government-issued ID and a photo of myself—something I didn’t expect at all. I talk through the process, show the error I ran into, and share my honest thoughts on this level of access and how invasive it feels for a developer tool.

Staying Ahead of AI Threats: A CISO's Perspective In this insightful discussion, A10 Networks' security leaders —Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar —delve into the critical security challenges emerging with the widespread adoption of AI and Large Language Models (LLMs).

Dive into how Securonix is revolutionizing the Managed Security Service Provider (MSSP) landscape with scalable partnerships, Unified Defense SIEM platforms, and advanced AI technologies. In this session, cybersecurity expert Mark Osmond, with 25+ years of industry experience, explores key MSSP challenges like cost management, scalability, and multi-tenancy—and how Securonix's Gartner-recognized, AWS-hosted SaaS platform is the solution.

In this video, we'll take a look at how to leverage the AI Agent action in Chat mode.

How to Remove an MCP Server.

Security is a Critical Factor in AI Adoption Jamison Utter joins A10's GenAI experts Madhav Aggarwal and Diptanshu Purwar to discuss the critical importance of security for AI adoption. They cover how AI fundamentally shifts the attack surface, requiring a move from traditional rule-based pattern matching to understanding natural language semantics. The team emphasizes the need for alignment in AI to ensure models are "helpful, harmless, and honest" (the 3H philosophy) and highlights the role of red teaming and guardrails in preventing vulnerabilities, such as prompt injection.

Securing AI-Generated Code: Why It Matters In this video, A10's Madhav Aggarwal explains how using AI for coding is an excellent use case, but the code generated by AI must be safe and secure. As AI and large language models (LLMs) become central to enterprise strategy, securing these powerful workloads is no longer optional—it's essential. A10 Networks' security leaders, Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar, explore the growing security risks associated with AI/LLM adoption and what organizations must do to stay protected.