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Identity Security

Stop Threats That Become Tomorrow's Breaches

Today's identity threats look like normal activity. Identity Threat Protection uses behavioral AI to catch hijacked sessions, abused OAuth grants, and privilege misuse that rules and risk scores miss, then contains threats across email, IdP, and SaaS before they escalate.

The Challenge

Modern Identity Threats Have Evolved to Bypass Traditional Tools

Attackers Operate Inside Valid Sessions

Stolen credentials, hijacked sessions, and abused OAuth tokens let attackers move freely inside boundaries that traditional identity tools are built to trust.

Fragmented Identity Tools Miss What Happens After Login

Traditional identity security watches the front door but has no view of what happens beyond it. When a threat does surface, analysts must manually aggregate signals from multiple tools to reconstruct, investigate, and contain.

Posture Gaps Go Unseen Until Exploited

MFA gaps, dormant privileged accounts, and over-permissioned roles are the weaknesses attackers exploit first, but without knowing which gaps carry real threat risk, every misconfiguration looks the same.

Social Engineering Unlocks Legitimate Access

Account recovery is the one identity decision made on human judgment alone. Social engineering exploits this by triggering a reset, impersonating an employee and acquiring valid credentials.

Why Abnormal

Posture and Detection in One Continuous Loop

Abnormal secures before and after the login.

The Only Behavioral AI Built Across Your Environment

Abnormal correlates email, identity, and SaaS into a single behavioral model, so the attack that started with a phishing email and ended with a hijacked session lives on one timeline.

Posture and Detection That Inform Each Other

Posture findings are ranked by real threat patterns, and detections surface the exposure that made them possible. One loop, not two siloed products.

A New Identity Perspective Through Email

Most identity attacks start with an email. Behavioral AI maps these attacks by finding the phishing lure that caused the credential theft and compromised the session that created a breach. This gives security teams earlier warning and full context from the moment the attack began.

Map Risk to a Growing Threat Library

Abnormal automatically surfaces and prioritizes identity misconfigurations across every user, admin, and application, ranked by real attack susceptibility. As new attack scenarios are added to the Threat Library, your posture score updates to reflect exactly where you're exposed and what to fix first.

Reduce Your Helpdesk Attack Surface

Behavioral AI scores every password and MFA reset request against real user patterns, automatically approving legitimate users, challenging suspicious ones, and escalating high-risk requests before access is granted.

Over 25% of the Fortune 500 Trust Abnormal AI to Make Automated, Critical Security Decisions

CVS Health
PepsiCo
Marriott
Hasbro
Lowe's
Liberty Mutual
Hitachi Energy
Unilever
Valvoline
Nestlé
Chipotle
Bristol Myers Squibb
Xerox
Texas

Customer Voice

What Security Leaders Say

“Abnormal's automation gives our analysts time back to work on other projects, and the fact that it's API-based gives us flexibility to tie in other applications and their data.”
Domino's logo

John Roeser

Senior Manager, Information Security, Domino's

“Our goals are to get away from being so reliant on human judgment and leverage AI to be proactive. Abnormal helps us with those goals.”
Valvoline logo

Corey Kaemming

Senior Director, Information Security, Valvoline

Abnormal powers over 4,500 customers, including over 25% of the Fortune 500.

Customer Stories

FAQ

See Abnormal in Action

Request a demo to see how Abnormal protects your organization.

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