AI for Behavioral Analytics in Security

Detect Anomalies and Risky Behaviors Across Users, Entities, and Systems

Behavioral analytics establishes baselines and detects anomalies across identities, devices, and applications. AI correlates signals to surface risky behavior (ATO, insider threats, lateral movement) with context and evidence, reducing noise versus static rules.

High-fidelity detections, fewer false positives, explainable alerts, and safe, guided response.

Alerts with Risk Scores, Evidence Panels, and Playbook Recommendations

Feedback loops from analyst decisions, drift monitoring, threshold tuning, and canary deployments provide continuous improvement. This allows for a more refined and accurate detection process.

Detect impossible travel, device change, and abnormal session behavior.

live demo · related simulation● LIVE

Pilot: Run in Observe Mode; Measure Precision/Recall; Collect Analyst Feedback

Scaling the solution involves adding automated/gated responses (step-up auth, isolation), expanding to more data sources, and institutionalizing feedback retraining. This ensures long-term effectiveness.

Ingest and enrich logs with user/asset context; map identities; expose risk scores to SIEM/SOAR/IdP; keep evidence and timelines for each alert.

Frequently asked questions

What approvals are needed for high-impact actions, such as account freezes or system isolation?

Approvals for high-impact actions; rollback; user-friendly notifications for step-up.

How do we track precision/recall during testing and quality assurance?

Precision/recall tracking, QA sampling, and red-team/pen-test feedback.

What are the retention limits for behavioral data, and how does this relate to lawful processing?

Retention limits, lawful processing of behavioral data, and audit-ready evidence.

How do we track the effort saved by analysts, and measure the success of actions versus rollbacks?

Track analyst effort saved, action success vs rollback, user impact of step-ups, and fairness metrics.

▶ Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Hash Function Avalanche Visualizer simulation