A security system for AI runtime behavior.
Impenetrix protects the full AI path: prompts, files, source code, retrieved context, model responses, agents, MCP tools, and automation.
Platform capabilities
Built for the moments where AI activity becomes operational risk.
Discover
Identify AI traffic across APIs, browser sessions, JSON, forms, XML, GraphQL, encoded payloads, custom proxy paths, model APIs, MCP transports, IDEs, and agents.
Defend
Apply policy to requests and responses. Block, allow, redact, score, alert, route, or require approval based on provider, user, model, data type, destination, tool, and risk.
Redact
Remove or transform sensitive material before model calls or tool execution. Protect secrets, credentials, PII, regulated data, source code, and confidential context.
Reason
Use governed security reasoning for risk explanation, control mapping, prompt-injection review, incident triage, policy Q&A, and remediation support.
Govern tools
Package, approve, scope, inspect, deploy, rate-limit, audit, and roll back MCP/serverless tools before agents execute them.
Prove
Export evidence showing what was seen, what rule applied, what action was taken, what version was active, who approved exceptions, and what changed afterward.
What makes it different
- Controls AI activity, not just AI vendors.
- Protects prompts, files, code, context, responses, and tool calls.
- Combines policy enforcement with source-grounded explanations.
- Preserves evidence needed by security, legal, privacy, audit, and executives.
Best first use cases
- Shadow AI discovery.
- AI data loss prevention.
- Prompt and response inspection.
- Private SecOps search and reasoning.
- MCP and agent tool approval.
- Audit-ready AI governance evidence.
Want to see it against your environment?
We can walk through discovery, policy, redaction, tool governance, and evidence using your real operating concerns.