Information Security & Cyber

Classifies sensitive data by type and value, then monitors and restricts unauthorized movement across endpoints, networks, and cloud.

ML-driven endpoint agents that detect and autonomously contain threats in real time using behavioral analysis and cross-domain telemetry correlation.

Monitors identity infrastructure to detect credential abuse, privilege escalation, and lateral movement across authentication boundaries in real.

A prepared team and process that detects, contains, eradicates, and recovers from security incidents while preserving digital evidence for analysis.

Authorized offensive engagements simulating adversary techniques to identify exploitable vulnerabilities and validate defensive control.

Automated discovery and vulnerability tracking of every software component and dependency across an organization's entire application portfolio.

Collects, analyzes, and disseminates actionable intelligence about adversaries, campaigns, and vulnerabilities to inform defensive decisions.

Automation platform orchestrating incident response across security tools via pre-built playbooks, API integrations, and AI-driven decision support.

ML-driven detection that builds behavioral baselines for users, devices, and networks, surfacing anomalies invisible to signature-based rules.

Continuously simulates adversary attacks against production controls to validate detection and prevention effectiveness empirically.

Translates cyber threats and control gaps into financial loss estimates to guide investment, insurance procurement, and board-level risk decisions.

Protects industrial control systems via network segmentation, protocol-aware monitoring, and IT/OT convergence governance.