The AI Agent Control Company
Control what AI agents can do.
See exactly what Claude Code, Cursor, Codex, and autonomous workloads can access — and enforce least privilege at runtime, on the machine where each action happens.
Runtime state
ActorClaude Code
Actionread ~/.ssh/id_rsa
PolicyAgent Credential Boundary
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Works with CrowdStrike·Microsoft Defender·Existing IAM
Compare control modelsPartners & customers
The gap
Your agent should not automatically inherit everything you can do.
Same login. Different actor. Different authority.
Autonomous software changes the security model.
AI agents execute commands, use credentials, invoke tools, and reach production-adjacent systems. A legitimate agent can perform an action your organization never intended to authorize — without being malware.
CrowdStrike and Microsoft Defender ask if software is malicious. 1stProtect asks if this autonomous action is allowed — complementary, not a replacement.
Compare with your existing stackExecution chain
One human session can spawn many autonomous paths — each with its own authority.
Triggers
Developer session
Human intent
Agent task
Autonomous workflow
Autonomous actor
Claude Code · Cursor · Codex
Policy evaluates each attempted action
Interfaces
Shell
Command execution
MCP
Tool invocation
API
Service calls
Browser
Web automation
Reach
Repositories & files
Source and data
Credentials
Secrets & keys
Production & cloud
Operational impact
The same enforcement model at every protection point.
Desktop, laptop, server, and cloud workloads evaluate policy locally when an action is attempted — not via a centralized proxy or a cloud decision on every request.
Coverage + protection points
Desktop
1stProtect engineLaptop
1stProtect engineServer
1stProtect engineCloud workload
1stProtect engineNo centralized enforcement path. Policy decision stays local to each endpoint.
Every endpoint enforces its own runtime policy boundary. Agents can run anywhere, but authorization is evaluated locally at each protected surface.
See what happened. See what was stopped.
Runtime decisions become operational security evidence your team can act on.
Detection is not authorization.
EDR / XDR
Is this malicious?
- Threat detection
- Behavioral analytics
- Malware prevention
- Incident response
1stProtect
Is this action allowed?
- Actor attribution
- Action-level policy
- Resource boundaries
- Runtime enforcement
Governance platforms answer what should be allowed in policy across your AI estate. 1stProtect answers whether this action executes here, now — on the machine where it happens.
Legitimate user.
Legitimate software.
Legitimate credentials.
Unauthorized action.
Execution enforcement layer
Enforce at the action — locally, before it completes.
AI agent governance platforms focus on discovery, policy, and estate-wide runtime control. 1stProtect stays narrow: normalize the action, evaluate policy locally, and enforce before execution completes.
See local enforcement architectureWhat we are not
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No proxy dependency
Policy is enforced where the action is attempted — not by routing agent traffic through a gateway.
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No prompt interpretation required
Decisions use actor lineage and normalized actions, not guessing intent from prompts or tool payloads.
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No cloud decision required
Local policy evaluation returns deterministic outcomes without a cloud round-trip for every request.
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No EDR replacement
Threat detection stays in your existing stack; we add authorization for autonomous actors.