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The Security Table

The Security Table

Izar Tarandach, Matt Coles, and Chris Romeo 106 Episodes Oct 14, 2026

The Security Table brings together four cybersecurity industry veterans from diverse backgrounds to discuss building secure software and the challenges that arise. The podcast covers a range of topics related to software security, drawing on the hosts' extensive experience.

Episodes

An AI Agent Escapes and Attacks. Who Goes to Jail?
An AI Agent Escapes and Attacks. Who Goes to Jail? Oct 14, 2026 2245 OpenAI says the policy window is open and wants binding federal rules for frontier labs, clear incident reporting, and disclosure whenever a model gets around its own security controls. The table asks whether that is real accountability or a lab writing the rules it already expects to win under. Matt sees the leader pulling everyone else into the funnel, Chris calls it an innovation killer, and Iz
There Is Determinism, Non-Determinism, and My Determinism
There Is Determinism, Non-Determinism, and My Determinism Oct 7, 2026 2497 The Security Table is now the AI Security Table, and the first order of business is naming the AI that gets a seat at it. Then Matt asks what a security engineer actually does once agents are writing the code: real security work, or bot herding? Chris Romeo, Izar Tarandach, and Matt Coles detour through who owns AI generated code and what a patent is worth when a model can rebuild your product in
When AI Controls The Hardware
When AI Controls The Hardware Sep 30, 2026 2521 Anthropic wants to give AI agents one shared way to run microscopes, liquid handlers, and robotic arms, and the squad cannot agree on whether that is progress or the opening scene of every bad sci fi movie. Matt, who has worked on robotics projects, says a common control standard is decades overdue. Izar calls it the PCI for AI, reminds everyone how secure MCP was on day one, and brings up Therac
When Code No Longer Matters
When Code No Longer Matters Sep 23, 2026 2179 If AI can turn a request directly into instructions a chip understands, what is left for a human to review? Chris Romeo, Izar Tarandach, and Matt Coles debate whether readable source code remains essential when agents do the programming. Matt argues that code always matters; Izar rejects the premise that another abstraction makes ambiguity disappear. The conversation moves through COBOL, Fortran,
Why AI Cheats To Win
Why AI Cheats To Win Sep 16, 2026 2358 An AI agent publishes a malicious Python package while chasing a capture-the-flag goal. Is that an escape, a supply chain failure, or reward hacking doing exactly what it was encouraged to do? Chris Romeo, Izar Tarandach, and Matt Coles examine the Anthropic incident and disagree about how much intention to attribute to a model. The discussion turns to package scanners, dependency names, GPG signi
When AI Escapes the Sandbox
When AI Escapes the Sandbox Sep 9, 2026 2949 When a model crosses a sandbox boundary, is the lesson that AI has become malicious or that the boundary was never strong enough? Chris Romeo, Izar Tarandach, and Matt Coles examine the CSA post-mortem on the OpenAI agents that compromised Hugging Face during a security evaluation. They debate reward-driven behavior, disabled safeguards, the four-day intrusion timeline, and the responsibility of t
The End of Bug Bounty As We Know It
The End of Bug Bounty As We Know It Aug 5, 2026 2527 If AI can find and validate vulnerabilities faster than people, why would a company keep paying outsiders to report them? Chris Romeo, Izar Tarandach, and Matt Coles start with Linus Torvalds' changing assessment of AI-generated Linux kernel reports, then examine what useful automation does to the bug bounty economy. They debate disclosure incentives, model restrictions that may constrain def
Make No Mistakes: Inside the First "Agentic Ransomware"
Make No Mistakes: Inside the First "Agentic Ransomware" Jul 22, 2026 2633 Does adaptive malware prove an LLM is directing an attack, or can a capable script produce the same evidence? Chris Romeo, Izar Tarandach, and Matt Coles examine Sysdig's JADEPUFFER report and its claim of agentic ransomware. They work through the proposed indicators, including self-narrating payloads, rapid failure diagnosis, interpretation of natural-language context, and a reused Bitcoin a
Is Spec-Driven Development Already Dead
Is Spec-Driven Development Already Dead Jul 15, 2026 2509 Can a detailed specification make AI-generated software reliable, or does it simply move the ambiguity somewhere else? Chris Romeo, Izar Tarandach, and Matt Coles revisit spec-driven development and the promise that an agent can turn written intent into a correct implementation. They debate why earlier approaches struggled, whether natural language is enough, and how tests can fail when the same A
Don't Bury the Model T: Why STRIDE Still Drives in an AI World
Don't Bury the Model T: Why STRIDE Still Drives in an AI World Jul 1, 2026 3543 Do AI systems require a new threat-modeling method, or are we abandoning useful tools before understanding their limits? Chris Romeo, Izar Tarandach, and Matt Coles first examine npm's move toward safer install defaults and the risk that agents trained on older behavior will simply re-enable dangerous options. Then they debate the claim that STRIDE belongs to a world that no longer exists. Th
Mostly Dead or Mostly Back: The Zombie Resurrection of DAST in an AI World
Mostly Dead or Mostly Back: The Zombie Resurrection of DAST in an AI World Jun 24, 2026 2537 Is DAST disappearing, or is AI penetration testing giving its underlying techniques a new market? Chris Romeo, Izar Tarandach, and Matt Coles trace dynamic application security testing from network scanners and open source tools to commercial products, then debate where scanning ends and adaptive testing begins. They question whether a tool that finds many issues serves the same purpose as a teste
Realists At The Table: How To See Through The Hype
Realists At The Table: How To See Through The Hype Jun 17, 2026 2252 Has cybersecurity traded curiosity for the promise of a paycheck, or are experienced practitioners simply seeing another generation's version of the same hype? Chris Romeo, Izar Tarandach, and Matt Coles examine the industry's changing stereotypes, from hoodie-clad specialists to ambitious founders. Mainframes, cloud computing, AI, quantum, and NFTs provide examples of ideas that return

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