What we build

Cognium helps engineering, security, and platform teams answer one release-critical question: should this AI-generated change ship?

Our work combines:

• Semantic SAST that traces real source-to-sink data flows instead of matching text patterns.
• LLM-assisted verification for exploitability review and high-signal triage.
• Spec and intent checks for generated pull requests.
• Trust scoring for code, agent workflows, skills, tools, and MCP servers.
• Policy gates that route changes to block, review, or ship decisions with audit evidence.

What we publish here

This Hugging Face organization is the public home for Cognium AI and security artifacts:

• Reproducible benchmark summaries for semantic SAST and AI-assisted verification.
• Demo Spaces that make scan, trust-score, and policy-gate outputs easier to inspect.
• Dataset cards for public benchmark corpora and result metadata.
• Research notes around AI-generated code security, agent trust, and model-assisted verification.

Start here

Current focus

We are building infrastructure for teams that use coding agents in real software delivery:

• Security teams need verified, reproducible vulnerability evidence.
• Engineering leaders need generated pull requests to arrive with behavior and risk summaries.
• Platform teams need trust controls for the skills, tools, and MCP servers agents can use.
• Regulated organizations need audit trails that survive procurement, compliance, and incident review.

Contact

For pilots, partnerships, or research collaboration, start at cognium.net/pilot or open a discussion in the relevant public repository.