Detection AI
Engine
Accelerate high-fidelity detection creation and continuous quality validation using intelligent automation.
AI-powered detection intelligence
Signal Graph Synthesis
Embeds telemetry schemas & historical detection graph to propose novel correlation paths.
Technique Pattern Expansion
LLM-assisted translation of ATT&CK technique semantics into multiple query/pipeline dialects.
Noise & Drift Analyzer
Statistical & semantic comparison of detection signal fidelity across time windows and environments.
False Negative Estimator
Predictive modeling highlights probable un-covered behaviors given observed telemetry & known controls.
Rule Quality Score
Composite score (precision, recall proxy, stability, enrichment depth) powering backlog prioritization.
Autonomous Replay Validation
Automated re-execution of narrow technique probes to verify persistence of detection coverage after changes.
Composable AI agents for detection lifecycle
Narrow AI agents focus on specific detection engineering tasks
Log Mapper
Infers event semantics & normalizes fields for multi-platform portability.
Variant Generator
Expands baseline queries into obfuscated / mutated technique variants.
Tuning Advisor
Suggests selective constraints & threshold adjustments to reduce noise.
Enrichment Recommender
Proposes context (asset criticality, identity, geo) to raise analyst confidence.
Gap Mapper
Aligns existing coverage vs. ATT&CK to highlight thin or missing layers.
Drift Monitor
Surfaces deltas in field cardinality, event volume & pattern frequency affecting rules.
Quantify uplift and automation impact
Median minutes from intent to runnable baseline rule.
Percent decrease in low-value alerts post tuning iterations.
Net new technique patterns added per quarter.
Mean hours from drift detection to validated rule update.
Percentage of rules using AI-suggested improvements.
Enterprise Availability
Detection AI Engine
Included in Enterprise plan. AI-powered detection optimization with custom pricing and deployment options.