Detect and Respond to Identity Threats After Login
Reveal analyzes identity behavior after authentication to detect insider threats, compromised credentials, and non-human identity misuse – without agents, rules, or operational overhead.
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What Reveal Does
Reveal continuously analyzes how identities behave after authentication across applications and infrastructure.
By learning normal behavior for human, non-human, and AI identities, Reveal detects identity threats and misuse early – and automatically intervenes when behavior turns risky.
This gives security teams high-confidence, investigation-ready insights and response into activity that traditional identity and security tools cannot see.
Core Capabilities
Post-Authentication Identity Visibility
Reveal understands what identities actually do after login – across systems – where misuse, lateral movement, and privilege abuse occur.
Behavioral Detection of Identity Threats
Instead of rules or static thresholds, Reveal learns normal identity behavior and surfaces meaningful deviations that indicate risk.
Automated
Intervention
When risky behavior is detected, Reveal automatically intervenes to contain threats before damage occurs – reducing response time and manual effort.
Behavior, Not Just Access
Step: 1
Ingest Identity Telemetry
Reveal consumes identity-related security and audit telemetry from applications and infrastructure using read-only, log-based access.
Step: 2
Learn Normal Behavior
Reveal continuously learns how identities behave after authentication, establishing behavioral baselines across users, service accounts, and AI agents.
Step: 3
Detect and Intervene
When behavior deviates in security-relevant ways, Reveal surfaces investigation-ready insights and automatically intervenes to contain risk.
Insights are surfaced at the identity-behavior level, not raw log events.
Why Identity Behavior Matters More Than Indicators
Modern identity threats rarely rely on known indicators. They exploit legitimate access and blend into normal activity, evading event- and IOC-based detection.
Proven in High-Stakes Environments
Reveal is deployed in regulated enterprises where identity threats emerge after authentication and traditional controls fall short.
FINANCIAL SERVICES
Global Investment Firm
Detecting and responding to post-authentication identity threats across critical applications.
HEALTHCARE
LifeLabs
Gaining behavioral visibility into identity activity across sensitive data and application systems.
Built for Modern Identity Environments
Human Identities
Employees, contractors, administrators, and privileged users operating across applications and infrastructure.
Non-Human Identities
Service accounts, API keys, service principals, and automation identities operating continuously.
AI Agents
Autonomous and semi-autonomous agents acting on behalf of users or systems.
Key Identity Threat Scenarios
Insider Threat
Detects risky insider behavior after login – such as anomalous activity across systems, misuse of privileges or unusual access patterns – and enables rapid containment.
Compromised Credentials
Identifies attacker activity using valid credentials after authentication and disrupts misuse before lateral movement or data exposure occurs.
NHI & AI Agent Misuse
Monitors non-human and AI identities for anomalous behavior and intervenes when activity deviates from normal operation.
Designed for Secure, Low-Impact Operation
Architecture Principles
Read-only access to identity-related telemetry
Log-based ingestion from existing systems
No agents or custom detection rules required
No manual log parsing or correlation required