Product
AI-Native Detection & Triage
Valystrum’s AI-Native Detection & Triage module transforms how security teams detect, investigate, and respond to threats. By combining semantic search, scenario simulation, and automated triage, Valystrum slashes mean time to triage (MTTR), reduces alert fatigue, and ensures that real threats are surfaced while false positives are filtered out.
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Key Features
- Semantic Search: Query incidents, assets, and threats using natural language or vector-based similarity, powered by a 1024-dimension embedding engine.
- “What If” Simulation: Instantly simulate attack scenarios, ask “what happens if this asset is compromised?” and receive a graph-driven impact analysis.
- Automated Triage: AI agent fetches, enriches, and classifies incidents, presenting analysts with a structured verdict and recommended actions.
- Human-in-the-Loop Enforcement: No incident is closed or device isolated without explicit analyst approval, ensuring AI augments and not replaces human judgment.
- Continuous Learning: Every analyst decision feeds back into the AI, improving accuracy over time.
- Explainable AI: All verdicts are schema-validated and mapped to MITRE ATT&CK tactics, supporting compliance and auditability.
Competitive Differentiators
- Semantic, Not Keyword Search: Go beyond log search, find related incidents and assets by meaning, not just string match.
- Scenario Simulation: Unique “what if” engine traverses the living graph to predict blast radius and business impact.
- Closed-Loop Triage: AI triage is integrated with the incident queue, analysts never leave their workflow.
- No Silent Failures: All AI actions are logged, and failures degrade gracefully with reduced confidence, never silent suppression.
- Continuous Feedback Loop: The system learns from every analyst correction, improving over time.
See how it works against your estate.
A 30-minute walkthrough against a sandbox of your scale, with one of our governance engineers.
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