SGNL is the only enterprise platform purpose-built for Continuous Identity—trusted by Fortune 500 enterprises worldwide to eliminate standing access to cloud environments, code, and critical applications.

An AI-native platform for application security and GRC that equips every security role with task-specific agents — starting with vulnerability analysis and root-cause remediation delivered directly into developer workflows.

Aryon is making it possible for everyone to proactively secure complex cloud environments. Instead of relying on reactive fixes and endless security alerts, we ensure that security policies are enforced at deployment, preventing risks before they ever reach production. Whether your cloud infrastructure is managed through IaC, ClickOps, or third-party providers, Aryon delivers seamless, consistent protection eliminating complexity and enabling security teams to focus on security rather than firefighting.

Origin is pioneering a new standard in endpoint security.

vijil provides the trust infrastructure to make AI agents more resilient from development to operations.

Onit pioneers Decision-Based Exposure Management.

Artemis is an AI-native protection platform helping humans eliminate real cyber threats. Traditional SIEMs are too noisy, too costly, and blind to fast-evolving, AI-powered attacks. Artemis fixes that—by delivering precise detections with actionable context, adaptive coverage, and lower cost through intelligent, federated telemetry.

Empirical is building a new kind of security platform, driven by modern AI, grounded in real-world telemetry, and designed to make decisions, not just generate alerts. Their first product reimagines Vulnerability Management. It's early, but the results speak for themselves: less noise, more signal, and radically better prioritization.

An early-stage cloud security platform building the prevention layer between posture management and runtime detection, hardening cloud infrastructure through service-to-service access control across configured, observed, and intentional access.

An identity security platform that unifies visibility, threat detection, policy control, and compliance benchmarking across human and non-human identities — built to surface and remediate access risk in the AI era with zero-friction automation.

A behavioral-sensor-based GRC automation platform that replaces API-driven compliance tooling with AI workstation sensors — automating the majority of evidence collection by directly observing the control activities that operators actually perform.

A data access intelligence platform that closes the gap legacy tools leave open, fusing data classification, identity context, and access telemetry into a real time graph that continuously judges whether every access event, human, service, or AI agent, is contextually legitimate rather than simply permitted.

An AI-native data analytics platform that replaces the conventional BI stack — ingesting data without schema normalization, generating SQL and visualizations from natural language, and delivering self-service analytics to non-technical business users with enterprise-grade governance built in.

An autonomous remediation and orchestration layer that sits above the detection tools enterprises already own, deploying software agents that investigate each exposure, cluster findings by shared root cause, and manage the fix end to end through verified closure rather than another queue of unresolved findings.