Trust infrastructure for code built by AI agents.
AI agents author entire pull requests. Cognium proves what they did — audit agent output, verify it against intent, enforce what ships. The trust layer your pipeline has been missing.
Trust scoring. Vulnerability detection. Compliance gates. Audit trails. Built for engineering teams of 50+.
Your agents write production code. Your governance is still manual.
In 2024, humans wrote code and humans reviewed it. In 2026, agents author entire PRs autonomously. The pipeline has no concept of intent. Every gate resets context to zero. The trust layer hasn't caught up.
Human writes code. Human reviews. Human signs off.
The trust chain was implicit — the author understood the intent, the reviewer verified it, the process was manual but traceable.
Agent writes code. Who verifies? Who proves intent?
85% of developers now use AI coding tools. 57% of organizations run multi-agent workflows. Your risk committee asks: "How do you know the code does what the spec says?"
"Does this agent do what the spec says it does?"
Cognium: deterministic answer via semantic spec diff.
"What's the audit trail if something goes wrong?"
Cognium: automatic documentation, exportable to risk committees.
"How do we satisfy EU AI Act by August 2026?"
Cognium: compliance gates built in as a pipeline byproduct.
AI compressed creation to days. Trust & governance still takes weeks.
For a 50-person enterprise team on a quarterly release, AI made requirements, design, and coding 3× faster. But review, testing, security, and compliance didn't move. Governance is now 73% of your release cycle.
13 weeks saved per quarterly release.
Modeled on a 50-person engineering team with quarterly releases. Cognium audits and verifies before human review begins. AI made creation fast. Cognium makes governance fast.
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.
Audit
What did the agent do?
Semantic analysis reconstructs behavior from code. Multiple parallel analyzers examine every dimension — dependencies, patterns, semantics, behavior, spec compliance.
Verify
Does it match intent?
Spec diff compares code against declared purpose. The gap between what you asked for and what the agent built — surfaced before review begins.
Enforce
Should this ship?
Trust score gates the pipeline. Components below threshold are blocked. Revoked skills are permanently excluded. Your compliance team gets the artifacts automatically.
SAST + LLM. Deterministic proof.
Every pull request passes through multiple parallel analyzers. Did the agent introduce vulnerabilities? Does the code match the spec? The Trust Engine combines SAST with LLM analysis to answer with deterministic proof — every dependency flaw, every spec deviation, every hidden risk — with zero false positives.
Multiple parallel analyzers
Dependency, code pattern, semantic, behavioral, and spec compliance — running simultaneously.
Intent augmentation via Specifica
Describe what you need in a Specifica spec — an open standard for declaring developer intent. Cognium reads your code, understands what exists, and shows you the gap between what you asked for and what the agent built.
Every source type, one engine
Custom code, ecosystem MCPs, community skills, and LLM-generated — all scanned the same way.
EU AI Act · August 2026
Mandatory compliance for AI-generated code in regulated industries. Cognium generates audit trails and compliance artifacts as a pipeline byproduct — not a separate workstream.
One gate. Nothing changes.
Cloud, on-premise, or hybrid. Integrates with GitHub Enterprise, GitLab, Jenkins, Bitbucket. Your pipeline stays the same.
Developers: visit cognium.dev for open-source tools.
Trust Score: 0–100
A single score for every component. Machines consume it at runtime. Humans read it in the audit trail.
Significant findings. Advisory warnings.
No spec. Some findings. Use with caution.
Clean scan. Partial or no spec match.
Code matches spec. All analyzers passed.
Critical severity. Permanently excluded.
Every agent skill, trust-scored.
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. Available at runics.net.
Your private skills are your IP
Private skills registered by your organization are weighted higher and prioritized in your agents' queries. Your internal capabilities always surface first — and never leak to the public registry.
Source Safety
3 sync pipelines on cron. The registry grows while you read this page.
Your pipeline earns its own trust level.
Every release cycle, the pipeline learns. Start at L1 where humans approve every gate. As patterns prove safe, the system auto-approves known-good flows at L2. Earn L3: autonomous deployment with full audit trails. Your governance cost drops every cycle.
Enterprise Features: Policy customization, compliance gate configuration (PCI-DSS, HIPAA, SOX), real-time dashboards for security teams, dedicated support with SLA.
Your agents write production code. Let's prove what they did.
Schedule a 30-minute walkthrough. We'll show you how Cognium fits your pipeline, walk through the audit-verify-enforce workflow, and discuss compliance requirements for your industry.
Enterprise Demo
30-minute walkthrough with solutions engineer
Pilot Program
30-day trial in your staging environment
Production Deploy
Full deployment with dedicated support
hello@cognium.net · We respond within one business day.