The problem
Agents write code. Who checks it?
AI made creation 3x faster, but review, security, and compliance still take the same time. Governance becomes the release bottleneck.
Ship AI code with confidence
AI writes code.
We prove it's safe.
Every AI-generated PR, verified. Every vulnerability, caught. Zero false positives.
Integrates with
GitHub
GitLab
Jenkins
Bitbucket
AWS
3.5xmore accurate
0false positives goal
25K+skills monitored
94ship-ready score
94
Verified to ship
Spec matched, SAST clean, dependencies trusted, audit trail generated.
01Specifica intent matched to PR scopePASS
02SAST + LLM verification found no exploitable flowsPASS
03Private skill preferred over public MCP serverPASS
04Slack webhook not declared in specREVIEW
13 weeks
saved per quarterly release
AI made coding fast. Governance did not keep up. Cognium reduces review, security, and compliance drag before the PR reaches production.
The solution
Cognium verifies before humans review.
Every PR scanned. Every vulnerability caught. Every spec requirement verified. Your reviewers start with evidence instead of raw generated diffs.
Traditional
Creation 11 wk
Governance 8 wk
19 wk
AI-assisted
3 wk
Governance 8 wk
11 wk
+ Cognium
3 wk
Verified 3 wk
6 wk
Platform
Agents do the work. Cognium proves what they did.
Three pillars. One trust layer. Agent-agnostic - works with Claude Code, Copilot, Cursor, Codex, or any agent in your pipeline.
AuditWhat did the agent do?
Semantic analysis reconstructs behavior
Dependencies, data flow, and framework context
Agent activity summarized for review
VerifyDoes it match intent?
Spec diff against declared purpose
SAST and LLM-assisted exploit verification
Missing, extra, or drifting behavior surfaced
EnforceShould this ship?
Trust score gates the pipeline
Block, review, or ship thresholds
Revoked skills permanently excluded
Evidence HubProduce the artifacts security and compliance teams need.
Audit trails for every scan
PCI, HIPAA, SOC 2 workflows
Exportable gap reports
Workflow
AI made coding fast. Governance didn't keep up. We fix that.
AI made creation 3x faster. But review, security, and compliance still take the same time. Governance is now 73% of your release cycle.
A
Audit
Reconstruct what the agent changed and how the code behaves across dependencies, data flow, and framework boundaries.
V
Verify
Compare implementation against declared intent, security policy, trust registry, and known exploit patterns.
E
Enforce
Apply a trust score gate that can block risky changes, route review, or approve low-risk work automatically.
01
Agent opens PR from a spec, ticket, or runbook.
INPUT02
Cognium analyzes code, dependencies, data flow, and agent skills.
SCAN03
Spec drift, vulnerabilities, and compliance gaps are summarized.
REPORT04
Trust score gates the merge path and preserves audit evidence.
DECIDETrust score
One score. Three outcomes.
Every component gets a Trust Score from 0-100. The score determines what happens next: block, review, or ship.
Critical issues found. The change cannot ship until fixed.
Needs human review with SAST, spec, and policy evidence attached.
Verified clean. Ready for deployment with audit trail retained.
Registry
We scan the skills too. Not just your code.
Beyond your code, we scan the skills your agents discover at runtime. Every skill in the registry is trust-scored. Malicious skills are revoked. Your agents only see what's safe to use.
23,691skills indexed
10K+scanned by Cognium
120revoked or excluded
3sync pipelines
Enterprise readiness
We read the code. We know what it does.
Every PR runs through our analysis engine. We find vulnerabilities. We check if the code matches your spec. We give you a clear answer - not alerts to triage, but proof you can trust.
| Capability | Typical AI coding workflow | With Cognium |
|---|---|---|
| Security review | Manual triage after the PR is ready. | Verified before review with semantic SAST and LLM confirmation. |
| Spec compliance | Reviewer infers whether the agent followed intent. | Spec diff highlights missing, extra, or drifting behavior. |
| Agent tools | Public skills and MCP servers are used without central risk control. | Registry scoring prioritizes trusted private capabilities and revokes risky tools. |
| Audit evidence | Evidence is reconstructed later from PR comments and CI logs. | Exportable artifacts are created as part of the gate. |
Enterprise ready
SOC 2, HIPAA, and PCI-DSS evidence paths.
Audit trails and compliance artifacts are generated with every scan, decision, and approval so security teams do not reconstruct evidence after the fact.
Deployment
One gate. Nothing changes.
Cloud, hybrid, or on-premise deployment. Works with GitHub Enterprise, GitLab, Jenkins, and Bitbucket while keeping the existing pipeline intact.
Pricing
Start manual. Earn autonomy.
Begin with humans approving every release. As your pipeline proves safe, Cognium auto-approves known patterns. Eventually: autonomous deployment with full audit trails. Less manual review every cycle.
Open source$0
Developer
$0 / forever
For individual engineers and security researchers validating semantic SAST locally or in public CI.
- MIT licensed static engine
- CLI scans for local repos and CI
- SARIF output for code scanning
- Framework YAML definitions
- Community support through GitHub
PilotRecommended
Team validation
Custom / 30 day pilot
For teams that want to connect Cognium to staging CI and measure trust scores against real AI-generated PRs.
- Staging CI integration
- Policy threshold tuning
- Private repo scan configuration
- Spec drift and SAST reports
- Weekly review with Cognium team
EnterpriseAnnual
Production governance
Custom / organization
For regulated teams that need policy gates, registry controls, audit artifacts, and deployment flexibility.
- Cloud, hybrid, or on-premise deployment
- Private skill registry and revocation
- Compliance evidence exports
- SAML, RBAC, and audit trails
- Dedicated support and security review
Request pilot
Ready to ship faster? Let's talk.
30-minute demo. See how Cognium fits your pipeline. Discuss your compliance needs. No pressure.
Best first repoActive AI-generated PRs, clear owner, existing CI
Time to first resultUsually measured in days after access is approved
Data handlingCloud, hybrid, and on-premise paths available
OutputTrust score, findings, spec gaps, audit trail
What happens after signup
Qualification callWe confirm repo shape, CI provider, agent usage, compliance needs, and deployment constraints.
Sandbox setupCognium runs on a staging branch or selected repositories without blocking production delivery.
Baseline scanWe compare recent AI-generated PRs against SAST, spec drift, registry risk, and policy thresholds.
Go/no-go planYou receive a rollout recommendation, production controls, and the pricing path for your environment.
Details buyers ask for
Clear answers before procurement gets involved.
These are the practical questions teams usually need answered before moving from a scanner test to an enterprise governance pilot.
Do we need Specifica on day one?
No. Cognium can start with SAST, dependency, and registry checks. Spec verification becomes more valuable as teams formalize AI-agent workflows.
Does Cognium replace CodeQL or Snyk?
Not necessarily. Many pilots run Cognium beside existing tools first. The goal is to verify agent-created changes and reduce review noise, not force a rip-and-replace.
Can findings block a pull request?
Yes. Teams can start in report-only mode, then move to block, review, or ship thresholds once the policy is tuned.
What about private source code?
Enterprise deployments can be cloud, hybrid, or on-premise. The pilot scopes access to approved repositories and keeps audit expectations explicit.
How is pricing calculated?
Commercial pricing is based on deployment model, repositories, scan volume, private registry scope, compliance requirements, and support level.
Who should join the first call?
Usually an engineering leader, security owner, platform/DevOps owner, and the person responsible for AI coding workflows.
"Use Cognium when an AI agent can write production code, but your organization still needs a clear answer: should this ship?"
Security teamsBlock exploitable changes before merge"Reviewers start with a verified summary instead of hunting through generated diffs for hidden behavioral drift."
Engineering leadersReduce review bottlenecks"Every gate decision can be tied to policy, scan output, spec comparison, and the agent tools used to create the change."
Compliance teamsPreserve release evidenceReady to ship faster? Let's talk.
Start with a pilot in staging. We will connect to your existing CI, tune policy thresholds, and show how Cognium changes the review path before production rollout.