Insider Threats
Insider threats hide in legitimate activity linked to human and AI identities. Compromised credentials and autonomous agents often appear normal. Exabeam uses behavioral analytics to detect risk over time.
Request a DemoINSIDER THREAT DETECTION
Understand Normal Behavior To Spot Threats
Credential abuse enables lateral movement and privilege misuse. Exabeam uses behavioral analytics to model normal activity for human and AI identities, detect meaningful change over time, and prioritize risk before it becomes an incident.
How Insider Risk Develops
Attacker Techniques Remain Consistent
Insider threats emerge as sequences of behavior tied to human and AI identities. Exabeam establishes normal activity, tracks deviations over time, and surfaces high-risk patterns such as lateral movement, privilege misuse, and sensitive data access.
Abnormal Authentication and Access
Exabeam identifies deviations in authentication and access patterns for human and AI identities. Behavioral analytics correlates activity over time, giving analysts context to understand intent when behavior changes.
Lateral Movement
Exabeam detects lateral movement by correlating behavior sequences over time. It highlights unusual access patterns, including first-time interactions with sensitive systems, so analysts can distinguish attacker activity from normal operations.
Privilege Escalation
Exabeam identifies privilege escalation by detecting shifts in behavior by all identities. Behavioral analytics reveals gradual risk accumulation, even when actions appear legitimate.
Privileged Account Monitoring
Privileged identities, including human and AI accounts, are frequent targets. Exabeam analyzes behavior to detect abnormal activity, exposing misuse that would otherwise blend into normal operations.
Account Manipulation
Exabeam detects unauthorized identity changes, including account creation, deletion, and modification for both human and AI identities. It surfaces suspicious manipulation performed through valid credentials or automated workflows.
Data Exfiltration
Exabeam detects data exfiltration by correlating behavior over time. It distinguishes normal usage from malicious activity, including automated transfers performed by AI agents.
Attack Evasion
Exabeam detects evasion techniques by analyzing behavior patterns across identities. It identifies attempts to obscure activity, including automated actions that hide or alter evidence within normal workflows.
Data Leakage
Data leakage often resembles legitimate activity from both human and AI identities. Exabeam correlates events into unified timelines, helping analysts determine whether activity is accidental, automated, or malicious.
Data Access Abuse
Human and AI insiders may misuse legitimate access. Exabeam identifies deviations from normal behavior to detect misuse early, even when access appears authorized.
Audit Tampering
Exabeam identifies audit tampering by detecting deviations in identity behavior, including attempts to alter or erase logs through valid credentials or automated processes.
Data Destruction
Exabeam detects destructive behavior by identifying unusual deletion patterns and activity sequences that indicate disruption or misuse.
Physical Security
Exabeam detects suspicious physical access, such as badge activity in multiple locations within an impossible timeframe. These signals reveal stolen or shared credentials used for unauthorized entry.
At-Risk Employees
Exabeam identifies at-risk users by correlating HR signals with behavioral changes. These insights combine with broader identity activity to detect emerging insider risk among human and digital workers.
Explore Other Use Case Solutions
Exabeam provides prebuilt content and automated workflows mapped to critical security use cases. This helps your security operations team address high-priority requirements without added complexity.
USE CASE
Compliance
Manual processes and disconnected tools make it difficult to meet requirements for regulations like GDPR, PCI DSS, and SOX. Exabeam automates monitoring and reporting so you can validate controls, reduce risk, and simplify audit preparation.
USE CASE
External Threats
External attackers use phishing, malware, and credential theft to gain access for financial benefit, espionage, or disruption. Exabeam detects activity at each stage of the attack chain and helps your team investigate and respond before impact spreads.
See Exabeam in Action
Request a demo to see how Exabeam helps security operations teams secure the agentic enterprise.
You’ll learn how to:
- Monitor and analyze human & agent behavior to uncover risk
- Investigate threats with machine-built timelines
- Use multi-agent AI to improve detection, investigation, and response workflows
- Apply playbooks to guide decisions
- Support compliance requirements
Award-Winning Leader in Security
