Adoption already happened. This is how security catches up — the visibility, controls, and policy framework that let your people work with AI confidently, and let your security team see what they’re defending.
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Open the playbook (PDF)Practical and built for SMB and mid-market teams facing the same pace of AI adoption as the enterprise, with far less governance infrastructure.
Connected systems, shadow AI, and third-party exposure — mapped so you can see where AI extends your risk.
AI agents run as the user and look like normal activity. There’s no signature to match and no deviation to flag.
How a trusted AI coding agent became an attack vector — start to finish, and what caught it.
Inventory, acceptable use, least privilege, human review, and incident response — with the questions to pressure-test each.
Assess maturity, set risk tolerance, keep the policy suite lean, and vet every vendor before you connect it.
Leadership modelling, explaining the why, enforcing from day one, and a no-blame reporting culture.
You can’t govern what you can’t see. AIDR extends the coverage you already have to the AI layer — no new agents, no separate dashboards. It uncovers shadow AI, enforces policy control, and supports secure adoption across your environment.
Where AI is being used and who’s using it — including unsanctioned or unknown applications.
Establish and enforce guardrails to reduce risk, eliminate shadow AI, and take back control.
Monitor adoption of new AI tools so your team can support responsible use across the org.
Free, 15 pages, no strings. The fastest way to move from “AI is happening to us” to a policy your people will actually follow.
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How to adopt AI safely in 2026 — the visibility, controls, and 5-control policy framework, in 15 practical pages.
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