The Agent Authorization Standard
DeepSweep maps which agent is authorized to do what — agent identity, capability profile, and authorization gaps — and enforces it at runtime. Start free with a local Agent Environment Review, no code upload: catch what your AI agent got wrong on your own machine, before it reaches a pull request, CI, or a security review.
These are candidate capabilities we're actively prioritizing — not features that ship today. We open early access to a small group at a time. Tell us which one you need first for governing your AI agents, and we'll save you a spot. No charge, no commitment.
Pick your AI coding tool — each goes to the install path that actually works for it.
A real, deterministic review of one Claude Code agent — every capability it has, where its authority is ungranted, and what to put in front of it before it acts. Status is reported in plain tokens: [PASS] [WARN] [FAIL] [INFO].
[PASS] 1 capability is authorized; the rest are ungranted and surface below.
Agent can perform secret.read on secret without an authorizing grant.
Agent can perform deploy.start on environment without an authorizing grant.
Agent can perform git.push on repo without an authorizing grant.
Agent can perform shell.exec on command without an authorizing grant.
Agent can perform mcp.call on mcp_tool without an authorizing grant.
secret.read on secretdeploy.start on environmentgit.push on reposhell.exec on commandmcp.call on mcp_toolof AI code has security findings
Unit 42of AI deps are hallucinated
Socket.devCVEs in IDE configs this year alone
IDEsasterThe goal is to authorize every action your AI agents take — which agent is authorized to do what, delegated by whom, and proof it held. Runtime Governance is the architecture frame. You start free and local: an Agent Environment Review maps the Repository Capability Profile (Repo Grade, Deploy Risk, AI-Generated %) and your authorization gaps in under 60 seconds. Review → Identity → Authorization → Protect → Control → Runtime from there.
Your AI-generated code graded in under 60 seconds. Repo Grade A–F, Deploy Risk, AI-Generated %, and a Confidence Score — so you know whether it's safe to ship before you do.
Works inside VS Code, Cursor, and Windsurf. Reviews every time you save and tells you exactly what to fix — in plain English. No terminal, no config files, no security expertise needed.
Every review produces a shareable Health Score and badge, with history you can track over time. Add it to your PRs and dashboards so teams can prove the code was reviewed.
Real data from public GitHub repositories built with AI coding tools.
Benchmark: 50 repositories across Cursor, Claude Code, Lovable, Bolt, and Replit.
Works with VS Code, Cursor, and Windsurf.
$ deepsweep validate .cursorrules Plain English findings — no jargon.
Fix items with one-click remediation.
Signal intelligence converts early warnings into enforceable constraints. Every MCP tool call is validated before execution.
Every MCP tool invocation is checked against security policies before execution.
Granular access controls prevent unauthorized file system, network, and API access.
Detect multi-step tool chaining attacks that escalate privileges across MCP servers.
Every policy decision feeds back into Signal intelligence for continuous improvement.
Shipping AI into the EU? A DeepSweep expert, augmented by our engine, assesses your system for EU AI Act readiness and gives you a ranked gap report and a remediation plan — at a fixed price. Pass, and you earn the badge below.
Earned only on a passing assessment. Verifiable — not just an image.
Not ready to talk? Get the readiness brief.
We’ll send an EU AI Act readiness overview and the assessment scope. No spam.
Identity, Authorization, and Audit for AI Agents in Production
A permitted action is not an authorized one. Your agents log in with a human's credentials and inherit everything that identity can do — but no one decided what they should be allowed to decide to do. That space is the authorization gap — and where DeepSweep was born.
Free shows you what's wrong. Pro shows you exactly where — and how to fix it.
Review · Identity · Authorization
Protect
Control
Runtime
Compare every feature and annual pricing on the full pricing page.
Free resource
A free, practical field guide to authorizing every action your AI agents take — agent identity, authorization gaps, and runtime enforcement.
Review your agent environment — Repository Capability Profile, Deploy Risk, and exactly what to fix — in under 60 seconds.
pip install deepsweep-ai