Cyber threats and AI attacks. One intelligence platform.
Traditional threat intelligence and AI/LLM-specific attack intelligence usually live in separate tools, tracked by separate teams. ThreatVault aggregates, enriches, and prioritizes both — so your team works from one picture of exposure instead of stitching two together.
Intelligence that arrives late isn't intelligence — it's history.
Security teams consistently report that threat intelligence reaches them after it could have changed the outcome. Splitting cyber threat intel and AI/LLM threat intel across two tools makes that worse, not better — ThreatVault closes both gaps from a single pipeline.
Cyber Threat Intelligence
The traditional CTI foundation, kept current automatically.
- Automated extraction from unstructured threat reports
- Threat actor dossiers with full campaign history
- Interactive threat knowledge graph linking actors, campaigns, and IOCs
- AI-assisted threat prediction based on observed patterns
- Analyst-ready intelligence summaries, not raw feeds
- IOC enrichment and deduplication across sources
AI & ML Threat Intelligence
The same rigor, applied to attacks on AI systems.
- Coverage across six major AI security frameworks
- Attack case database — prompt injection, model inversion, data poisoning, and more
- Framework-to-control gap analysis for your AI stack
- Target fingerprinting to map your actual AI asset exposure
- Control validation scoring against known attack cases
- Curated, continuously updated AI attack case feed
One pipeline, start to finish.
What changes for your team.
Triage speed
Hours of manual correlation reduced to minutes.
Coverage
One unified platform instead of two disconnected silos.
Posture
Predictive visibility into where exposure is heading, not just where it's been.
Confidence
Validated control coverage you can show to leadership and auditors.
Threat intel analysts, SOC teams, and AI/ML security teams.
Security leadership gets the rollup; analysts get the depth.
Bring your own threat feed.
See how ThreatVault clusters and prioritizes it against your actual environment.