AI-agent work security

The security platform for AI-agent work.

AI agents now read code, call tools, use credentials, install packages and operate across infrastructure. Oktsec gives companies a control loop for that work: define policy, let environments apply it locally, and verify the evidence that comes back.

Policy assigned. Work reported. Evidence verified.
Agent work · under control verifying
Company rules
What agents are allowed to do
set
Approved instructions
Rules are sent to each environment
approved
Agent environment runs
Work follows approved rules
running
Evidence comes back
What happened is reported
reported
Review exceptions
Only problems need attention
reviewed
Agent environmentsState
250+
real vulnerabilities found in open-source projects, across AI-agent systems, MCP servers, developer tools, CLIs, CI/CD and supply-chain, each one proven with an executable proof-of-concept
Reported through programs including
Google Microsoft Stripe Cloudflare AWS Mercury
The gap

Agents are getting access before companies can govern the work.

The risk is not bad text. The risk is software chaining actions across tools, credentials, code and infrastructure before companies can prove what was allowed, what happened and what evidence exists.

01

Unauthorized work

Agents can modify data, trigger workflows and affect real operations.

02

Developer and supply-chain exposure

Agents install packages, run CLIs and operate inside repositories.

03

Credentialed tools

Agents call authenticated tools, MCP servers and internal APIs.

04

Manual review breaks

Human approval cannot keep up with machine-speed agent work.

When agent work scales faster than review, policy and evidence need to be built into the path.

The control loop

Stop unauthorized work. Govern approved work. Verify the evidence.

Oktsec gives companies a repeatable loop for approved agent environments: publish signed policy, let the environment apply it locally, and review the evidence it reports back.

01

Assign policy

The company defines what an agent environment is allowed to do.

02

Apply locally

The node pulls signed policy, verifies it and applies it inside the customer environment.

03

Report back

The environment reports which policy ran and what evidence was produced.

04

Review exceptions

Oktsec compares expected against reported and routes stale, missing, different or unverified evidence for review.

Signed policy in.Applied in the environment.Verified evidence back.
One platform

One platform for agent-work security.

Oktsec is one product system with multiple entry points: Control for recurring governance of approved agent work, open source for developer adoption, Signal for ecosystem visibility and Assessment for deep security review.

Oktsec Control

Recurring control for approved agent environments.

Approved environments, company rules, verified evidence, exception review and buyer-ready reporting.

Control Cloud for a hosted deployment
Control Private for self-hosted, VPC or air-gap
Customer-controlled execution
Exceptions flagged for review
Explore Control
Oktsec Open Source

Developer entry point where agent risk starts.

Security controls for MCP servers, CLIs, package installs, local tools and automation-heavy environments.

MCP gateway and proxy
Tool-call visibility
Deterministic rules
Tamper-evident audit trail
View on GitHub
Oktsec Signal

Security signal for the AI-agent ecosystem.

Map the repositories, packages, MCP servers, CLIs and automation surfaces that agents load, call and depend on.

Public ecosystem signal
Private monitoring for teams
Deterministic detections
Evidence-backed grades
Explore Signal
Oktsec Assessment

Security assessment for modern software systems.

We review real software systems across application security, architecture, dependencies, CI/CD, automation, cloud integrations and AI-agent workflows. Each assessment produces reviewed findings, executable evidence, scoring and clear next steps.

Application and product security
Architecture and technical debt
Dependencies, CI/CD and supply chain
AI-agent workflows and automation
Book an assessment
Oktsec Control

Recurring control for approved agent environments.

For teams adopting agents across engineering, platform and automation-heavy workflows, Oktsec Control gives the company approved rules, verified evidence, exception review and reporting.

Policy

Assign company policy

Assign company policy to agent environments.

Distribution

Publish once, verify

Publish signed policy once. Nodes pull and verify.

Evidence

Review what's reported

Review what each environment reports back.

Exceptions

One review queue

Route stale, missing, different and unverified evidence to one queue.

Oktsec Signal

Security signal for the AI-agent ecosystem.

Signal maps the software agents load, call and depend on: repositories, packages, MCP servers, CLIs, GitHub Actions and automation-heavy codebases. It helps teams decide what can enter approved environments, what needs review and what should stay out.

Map

The AI-agent ecosystem

Repositories, packages, MCP servers, CLIs and CI/CD across the ecosystem.

Grade

Deterministic detections

Reproducible, evidence-backed grades you can review before trust.

Monitor

Private monitoring

Watch the components your approved environments depend on.

Public

Open ecosystem signal

A free public index, datasets and an alert feed for everyone.

Assessment

250+ real vulnerabilities found.

Oktsec Assessment reviews real software systems across application security, architecture, dependencies, CI/CD, automation, cloud integrations and AI-agent workflows. Each assessment produces reviewed findings, executable evidence, scoring and a practical plan for what to fix, monitor or bring under control.

See the assessment track record
What it assesses
AI agents & agent runtimes MCP servers & tool integrations CLI & developer tools GitHub Actions & CI/CD Prompt-injection surfaces Tool-call abuse Software supply-chain paths
Open source

Open source where agent risk starts.

Oktsec Open Source gives developers a practical way to inspect, limit and audit agent work in the environments where risk first appears: MCP servers, CLIs, package installs, local tools and automation.

View GitHub
MCPMCP gateway and proxy
CLITool-call and CLI visibility
RULESDeterministic detection rules
AUDITTamper-evident audit logging
SETUPDeveloper-friendly, one command
Research

Field notes from the audit trail.

Patterns and findings from 250+ real vulnerabilities found across agent systems, written up so your team can use them.

Free resource

The Agent Security Checklist

The same checklist we run on client code, distilled from 250+ real vulnerabilities. Vendor-neutral, no product required.

Get the checklist
Get started

Ready to secure AI-agent work?

If agents are starting to touch code, tools, credentials or infrastructure inside your company, Oktsec gives your company a way to assign policy, review evidence and approve more agent work with fewer blind spots.

FAQ

Questions teams ask first.

Does an LLM decide what agents are allowed to do?
No. Policy is deterministic. Rules decide whether work is allowed, reviewed or blocked, and no model sits in the enforcement path. Oktsec compares the exact policy you assigned against what the node reported.
Does Oktsec need inbound access to our environments?
No. Oktsec Control publishes signed policy. The environment initiates the pull, verifies it and applies it inside your environment. The same signed artifacts can also move through controlled, air-gapped handoff.
Where do policy and evidence live?
Execution stays inside the customer environment. Environments pull, verify and apply policy locally. Oktsec Control can run as Control Cloud or Control Private depending on deployment, and evidence handling follows that deployment model.
Can we start without a full rollout?
Yes. Start with the open source gateway in the environments where agent risk appears first, then bring environments under Oktsec Control as you expand scope.
What exactly counts as verified evidence?
Oktsec shows whether each environment is running the expected signed policy or needs review, and explains why.