Enterprises are racing to adopt AI, but often don't have the right controls in place or know how to verify vendors are compliant. LogosGuard turns AI policies into executable controls, stress-tests your AI products, and continuously monitors changes, giving enterprises the confidence to scale AI responsibly.
The Problem
SOC-2 wasn’t designed for AI. Without the right controls in place, enterprises are having to rely on outdated standards or navigate a fragmented landscape of nascent AI frameworks (think NIST AI RMF, ISO 42001, and CSA AICM). The result: slow approvals for new projects and vendors, inconsistent and insufficient reviews, and no reliable way to prove an AI product still meets policy after it changes.
The Solution
LogosGuard is an AI governance and assessment platform that fits into your existing procurement and compliance systems, and produces reports your teams can act on:
Build your AI Controls baseline. We translate leading controls frameworks, including NIST AI RMF and ISO/IEC 42001, and your internal policy, into a clear set of AI controls. We help you understand and choose controls tailored to your industry, and keep up to date with the continuously changing state and federal regulations.
Stress test the AI features. We run targeted evaluations for prompt-injection, harmful guidance, PII mishandling, access-control gaps, transparency failures, robustness, and more.
Continuous monitoring. When vendors update models and features, we re-run the key tests continuously and alert you if risk rises over time.
Painless reporting. We provide executive summaries, auditor-ready evidence, and a searchable record of decisions so compliance, information security, and leadership see the same truth.
Impact
Vendor risk reviews in days, not months
Maintain a robust set of AI controls, with regulatory compliance informing policy updates
Catch drift before incidents occur with continuous monitoring
Why us
Sukrut Oak — Stanford BS/MS (CS, AI); 3+ years AI safety and benchmarking research; ex-AI engineering at Apple’s Health team; ex-SpaceX.
Abel John — Stanford BS/MS (CS, AI); ex-AI engineering at Apple; ex-MTS at Accordance (AI for tax accounting - backed by Khosla, Sequoia, and more)
Our Ask
Warm intros to CISOs, CIOs, or anyone who signs off on new AI deployments.