Permission Boundary Testing
We test what your AI agents CAN access versus what they SHOULD access. Over-permissioned agents are the #1 risk in every deployment we’ve assessed.
AI Agent Security Auditing
AI tools that browse, execute code, send emails, and manage files on your behalf are powerful. They're also the easiest way into your business if they're not secured properly.
Every AI agent in your business is an identity with credentials, permissions, and access to sensitive data. Unlike a human employee, an AI agent doesn't get suspicious when it receives a malicious instruction hidden inside a normal-looking document. It just follows it.
This isn't theoretical. AI-driven attacks found over 1,000 real vulnerabilities in production systems in a matter of months. DARPA's AI challenge found 54 new vulnerabilities in 4 hours. Security researchers predict fully autonomous AI breaches of major enterprises by end of 2026.
If the “safety-first” AI companies can't secure their own tools, what makes you confident about yours?
We test what your AI agents CAN access versus what they SHOULD access. Over-permissioned agents are the #1 risk in every deployment we’ve assessed.
We attempt to redirect your AI agents using malicious instructions hidden in documents, emails, and web content they process. If we can make your agent do something it shouldn’t, an attacker can too.
AI agents that can execute code, browse the web, or send messages operate with real system access. We evaluate whether those execution boundaries actually hold under adversarial conditions.
AI agents that remember conversations and learn from interactions store valuable behavioral data. We assess whether that memory can be poisoned, exfiltrated, or manipulated.
We audit the software dependencies your AI tools rely on. One trojanized dependency can give attackers full access to your systems.
We map every path an attacker could use to extract sensitive information through your AI agents — including indirect routes through tool use, API calls, and inter-agent communication.
We map every finding to established security frameworks so your team knows exactly what's at risk and how to fix it.
Web application security baseline
AI/ML-specific threat matrix
Adversary tactics and techniques
Federal security and privacy controls
Audit methodology: 16-judge rubric 63-test automated scan 58-point AI Agent Security Audit Checklist 2 published threat reports (TIR-2026-001, TIR-2026-002).
Single AI agent or tool evaluation. Permission audit, prompt injection testing, and written findings report with remediation priorities.
Get StartedMulti-agent environment evaluation. Covers 3–5 AI tools/agents. Includes supply chain dependency review, data flow mapping, and executive summary.
Get StartedComprehensive organizational AI security assessment. Full OWASP ATLAS evaluation, MITRE ATT&CK mapping, multi-agent interaction testing, and 90-day remediation roadmap.
Get StartedContinuous AI agent security monitoring. Monthly dependency audits, quarterly prompt injection testing, and incident response for AI-related security events.
Get StartedWealth Explosion members: use code WE0326 at checkout
Paul Holder has published in-depth threat intelligence reports on AI agent security.
TIR-2026-001: OpenClaw Threat Intelligence Report
Analyzed critical RCE vulnerabilities and supply chain compromise vectors across 19 cited sources.
TIR-2026-002: The Anthropic Double Breach
Claude Code source leak, Mythos model exposure, and concurrent supply chain attack analysis.
Published Author
“Stay Smart, Stay Safe” — digital security guide on Amazon.
Start with a free scan of your business website at isitsafe.pro. Then let's talk about what your AI tools are really doing with the access you've given them.