Ship the AI features your security team signs off on — the first time.
I stress-tested the guardrails the industry sells across ~6.1M inference calls. One held. I bring that same correctness-and-audit bar to your GenAI integration layer — and I'm the one on the call.
Founder & principal
Every guardrail on the market, put on the bench. One survived.
~6.1M inference calls. Models 1.7B–119B. Every behavioral and structural control I tested was bypassed or allowed malicious generation — except a single generation-layer control, which blocked it 100% of the time in-harness.
Figures qualified to the published test harness
Proof before promises. Here's what the harness actually showed.
Every behavioral and structural control I tested was bypassed or allowed malicious generation — except one.
Three ways I harden your integration layer.
Engagements are outcome-scoped. Each one ends with artifacts your auditors can actually read.
GenAI Integration Threat Modeling
Find where your LLM agents are over-privileged — before an attacker does. A mapped, ranked view of every path model output can take into your data, tools, and customers.
Explore service → 02Middleware Zero-Trust Enforcement
Stop trusting model output. Enforce least-privilege at the boundary, so a compromised prompt can't reach data or tools it was never authorized to touch.
Explore service → 03Prompt-Injection Guardrails
Move enforcement to the generation layer — the one place a control held across the harness — so malicious output is blocked before the model can produce it.
Explore service →Software & automation, held to the same bar.
Security-grade engineering isn't only for security work. I build production systems where the correct behavior is the only path the code can take — and prove it after the fact.
See the engineering bar →Reimbursement that's correct by construction — and defensible after the fact.
Bring me your riskiest GenAI integration point.
25 minutes. No pitch. We pressure-test it live and you leave with a threat-model sketch — whether or not we end up working together.