Autonomous AI analyst for threat intelligence
APT29 and Sandworm show elevated overlap across cloud identity abuse, ICS targeting, and spearphishing infrastructure.
Venator ingests the feeds, resolves entities across them, and reasons over the whole graph.What comes back is a cited assessment, not a search result.
OpenCTI
ThreatConnect
Produces finished intelligence on top of them
ChatGPT
Claude
Collects live intel and structures it
Vendor reports, OSINT, CVEs, indicators, advisories, and private collections enter a provenance-preserving pipeline.
Entities are normalized, deduplicated, enriched, scored, and linked across actors, malware, TTPs, CVEs, and infrastructure.
Agentic workflows answer PIRs, reconstruct kill chains, enrich IOCs, and surface the relationships an overloaded team would miss.
Executives and operators receive cited answers, priority actions, live dashboards, and briefings ready to use.
Raw evidence in. Finished intelligence out.Every claim traceable to the source that made it.
Not a replacement for your feeds.The analyst layer on top of them.
More vendor reports, OSINT, CVEs, actor updates, and sector-specific advisories than CTI teams can manually process.
Skilled analysts are scarce, and the cost of turning raw intelligence into useful decisions keeps rising.
Tool-using AI systems can retrieve, compare, cite, summarize, and iterate across private intelligence corpora.
Executives and operators need briefings, dashboards, and relationships, not another pile of static feeds.
