Solution Suites
Outcome‑oriented bundles aligning core VanatorX capabilities, automation & intelligence with your readiness goals.
Detection AI Engine
Accelerate high-fidelity detection creation and continuous quality validation using intelligent automation.
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.
Workflow Assistants
Composable AI agents focus on narrow detection lifecycle jobs.
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.
Key Metrics
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.