We're back on the road showing new ways that AI will help you lose your data.  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­    ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­  
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Greetings,

 

There's AI for security purposes (offense, defense, and the gray areas in-between like hardening code), and then there's the security of AI itself.  This latter category gets the least attention and that has galled me for ages, because AI security is a disaster.

 

There's actually some good news, if you can believe it, as AI models themselves have gotten much more resistant to the single shot prompt injections that have plagued them.  But at the same time, there are new agentic harnesses for the models which are riddled with problems.

 

At IronCore, we're very interested in the question of what it looks like to securely and safely work with AI for users and for application developers. I talked about our thinking on our own usage in this blog from January.

 

Recently we've done a ton of novel research into hacking agentic systems like OpenClaw and Hermes.  Our main finding is that memory is a massive, barely understood problem.  I'm giving two talks next week in Vegas: one at B-Sides and one at DEFCON and both will demonstrate a new type of attack I call "Prompt Laundering" whereby you use memory to take untrusted text and slowly increase its trustworthiness until a system is hopelessly and persistently pwned.

 

If you'll be in Vegas for Black Hat, DEFCON, or anything else next week, give me a shout.  And stay tuned here as we'll be putting together some more public information on this after the conferences.

 

..Patrick

Patrick Walsh CEO IronCore Labs

Patrick Walsh
CEO, IronCore 

 

 

 

Upcoming events:

  • DEFCON: The Agent Long Con: Tricking Agents Out of Their Data (60 minutes)
    • August 7, 2026 3-4pm, Creator Stage 5
    • Abstract: AI is objectively a privacy nightmare, and agentic systems make this worse. Continuously running AI agents like OpenClaw and Hermes are proliferating and they're connected to reams of private data. Even so, the trivial exploits are no longer reliably effective, so are they still a security problem? In short, yes. This talk shows how to shift from smash-and-grab exploits to something far more effective: the long con. 
  • B-Sides Las Vegas: The Agent Long Con: Tricking Agents Out of Their Data (30 minutes)
    • August 3, 2026 5:30-6pm, [un]prompted track
    • Abstract: Continuously running AI agents like OpenClaw are everywhere now and they're connected to everything. We show how easy it is to trick them and take them over completely.  If you're patient. This talk introduces prompt laundering and the process of systematically undermining AI agents.

       

announcing-vectorlens-newsletter

Announcing VectorLens: See the PII Hiding in Your Vector Embeddings

A Flashlight for the Darkest Corner of Your AI Stack 

AI quietly copies your sensitive data into vector embeddings that no PII scanner can read. VectorLens is a new local CLI tool that scans embeddings to find PII hiding in your AI pipelines.

 

> Read the full blog

 

ai-vuln-tidal-wave-newsletter

The AI Vulnerability Tidal Wave 

Security Strategies Need to Adapt or Drown 

 

Vulnerabilities are up, exploits are happening ahead of patches, and AI is fueling all of it. See the data showing the new reality for security teams and what it means for the future of breaches.

 

> Read the blog

 

2026-04-29-hacking-ai-apps-snowfrog-2026-newsletter

OWASP SnowFROC '26:
Hacking AI-Enabled Apps

Exploit Demos, Data Compromises, and Hardening Patterns

 

This is a talk that IronCore CEO Patrick Walsh delivered first at the SnowFROC conference. It contains exploit demos, data compromises, and hardening patterns for AI-integrated applications. There's a focus on recent agentic systems like OpenClaw and some suprprisingly optimistic results as Patrick shows just how far AI security has come in the last few months. But also how far it still has to go.

 

> Watch the video

 

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IronCore Labs, 1750 30th Street #500, Boulder, CO 80301, United States, 3032615067

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