Ecosystem
Pre-deployment scanning, continuous threat intelligence, and runtime enforcement. Each product feeds the others. The result is a security loop that gets stronger with every deployment.
Scan before you deploy
Know what's out there
Enforce at runtime
Feedback Loop
Every threat discovered becomes a detection rule. Every rule runs in the runtime pipeline. Every confirmed threat generates new intelligence.
Continuous scanning across the MCP ecosystem surfaces new risks before they reach your agents.
Threat patterns get codified as YAML detection rules and added to the Aguara rule engine.
The runtime pipeline blocks the threat before it reaches your MCP servers or executes on disk.
Optional LLM analysis validates the detection and proposes rule refinements that feed back into the engine.
Every threat discovered by Aguara Watch becomes a detection rule. Every rule runs in Oktsec's runtime pipeline. Every confirmed threat generates new intelligence. This feedback loop gets stronger with every deployment.
Why This Matters
Integrations
SDKs, metrics, alerts, and CI/CD output. Oktsec fits wherever your agents run.
17 MCP clients discovered, 14 wrappable. Auto-configures gateway for Claude Desktop, Cursor, Windsurf, and more.
Native Go and Python libraries for programmatic access. Python on PyPI: oktsec
6 metric families exposed on /metrics. Plug into Grafana, Datadog, or any Prometheus-compatible stack.
Configurable webhook notifications for threat events. Route to Slack, PagerDuty, or your own endpoint.
Static Analysis Results Interchange Format output for GitHub Code Scanning. Integrates findings directly into your PR review workflow.