We don't use AI to replace consultants — we use it to give them more reach. Three proprietary agents augment every Intoto engagement: Recon, Reasoner and Reporter.
Each agent is purpose-built, sandboxed per-client, and never trains on your data.
Continuously enumerates your external and internal attack surface. Discovers shadow assets, forgotten endpoints, and supply-chain dependencies.
Generates plausible attack paths from observed evidence and tests them in sandbox. Flags the chain — not just the dot.
Produces engineer-ready remediation: reproduction steps, severity rationale, and code or config diffs in your stack's idiom.
No AI finding ships unverified. Our consultants triage, validate, and prioritize every output. Where the agents excel is in volume and consistency — where humans excel is in judgment.
AI-first does not mean data-loose. Every Intoto engagement runs in an isolated environment, with strict boundaries on what goes in, what comes out, and what's retained.
Each engagement gets its own ephemeral environment. No shared models. No cross-client context.
Client artifacts never enter our model training pipeline. Period. We use foundation models for inference only.
All artifacts encrypted at rest and in transit. Per-engagement keys, rotated quarterly.
Every agent action is logged and reviewable. You can request the full chain of custody.
Engagement environments and data are destroyed within 30 days of report delivery, unless you request otherwise.
No finding leaves Intoto without consultant validation. Auto-publish to clients is disabled by design.
We'll walk through a live engagement preview and answer the questions our diagrams won't.