Fewer blind spots, faster triage and a clear list of risks to fix first.
An AI-powered security platform built on observability. It ingests your telemetry, keeps a live inventory of every asset, matches activity against an in-house threat intelligence cache and turns exposures into tracked, remediated risks.
Telemetry and logs from every source land in one pipeline. Agentic decoders and rulesets parse each event and map it to a detection, so analysts start from context instead of raw lines.
5 modules, built from scratch for our partner and run in production by our team.
Telemetry and logs from every source land in one pipeline. Agentic decoders and rulesets parse each event and map it to a detection, so analysts start from context instead of raw lines.
A private network scanner discovers every device on internal ranges. AI enriches each asset and rates its confidentiality, integrity and availability risk, with hardware, software and cryptography bills of materials.
An in-house threat intelligence cache aggregates public and vendor feeds. Machine learning flags anomalies across many indicators, and continuous threat exposure management (CTEM) detects active and passive threats with AI remediation for each one.
Domains are pulled from firewall telemetry and filtered automatically. AI agents assess domains, vendors and systems, run tailored surveys and blacklist high-risk domains before they become incidents.
Alerts reach the right people as soon as a threat, exposure or risky domain is found, with the context needed to act.