Insider Threats
Abused credentials from insiders, compromised accounts, or AI agents can look legitimate. Rules and signatures often miss these patterns. Exabeam uses behavioral analytics and AI to help your security operations team detect insider risk for every identity.
Request a DemoINSIDER THREAT DETECTION
Understand Normal Behavior To Spot Threats
Credential abuse gives attackers a fast path to lateral movement and privilege misuse. Exabeam applies machine-learned behavioral analytics to establish normal behavior for every user, device, and AI agent so you can find anomalies, score risk, and respond before issues escalate.
Insider Threat Behaviors to Watch
Attacker Techniques Remain Consistent
You need dependable ways to detect, investigate, and respond to insider threats from users, entities, and AI agents. Exabeam uses behavioral analytics and dynamic risk scoring to baseline identity behavior and highlight lateral movement, privilege misuse, tampering, account manipulation, and data loss.
Abnormal Authentication and Access
Exabeam detects abnormal authentication and access patterns from users and AI agents. It adds identity and activity context so your investigations move faster and you can understand intent when behavior changes.
Lateral Movement
Exabeam detects attacker techniques like Pass-the-Hash and Pass-the-Ticket. Behavioral analytics surfaces unusual steps, including first-time access to sensitive systems. Your team can separate attacker activity from routine behavior and act before an incident spreads.
Privilege Escalation
Attackers escalate privileges to reach critical assets. Exabeam reveals subtle escalation activity by tracking abnormal user behavior and monitoring automated processes. Analysts gain earlier insight into behavior that increases risk.
Privileged Account Monitoring
Privileged accounts are common targets for data theft and control bypass. Exabeam applies behavioral analytics to human identities and monitors non-human accounts to expose activity that suggests misuse or compromise.
Account Manipulation
Exabeam detects unauthorized changes in Active Directory, including account creation, deletion, or modification. It also flags suspicious changes made through misused service accounts or AI agent identities so you can address them quickly.
Data Exfiltration
A standalone data loss prevention (DLP) alert rarely tells you the whole story. Exabeam adds behavioral context to help distinguish accidental activity from malicious insiders or compromised users. It detects suspicious data exfiltration through DNS, email, web uploads, or AI agent data transfers.
Attack Evasion
Attackers often try to hide evidence by tampering with logs or destroying files. Exabeam detects evasion techniques by examining user behavior and tracking actions from non-human identities and AI agents. Your analysts can see when someone tries to erase their trail.
Data Leakage
Data leakage often resembles routine behavior. Exabeam, combines DLP alerts with authentication, access, and contextual data in a complete timeline. This helps your analysts decide whether a user, entity, or agent is acting negligently or maliciously.
Data Access Abuse
Insiders may abuse legitimate access to view or copy sensitive information. Exabeam baselines normal activity and pinpoints meaningful deviations. It also monitors AI agent activity so your team can identify potential misuse before it turns into an incident.
Audit Tampering
Tampering with or clearing logs is a common tactic for hiding attacks. Exabeam adds business and identity context to user anomalies and non-human activity. Analysts can identify audit manipulation even when attackers use valid credentials.
Data Destruction
A malicious insider may delete critical data to disrupt operations. Exabeam baselines file and data activity and flags unusual deletion patterns from users and automated processes. You can see destructive behavior sooner and limit impact.
Physical Security
Exabeam detects suspicious physical access, such as badge activity occurring in two locations within an impossible timeframe. These signals help you see stolen or shared credentials used for unauthorized entry.
At-Risk Employees
Exabeam helps you identify at-risk users by correlating HR data with changing behavior. Unusual data access, communication patterns, or other events may indicate someone preparing to leave the organization or take harmful action.
Explore Other Use Case Solutions
Exabeam provides prebuilt content and automated workflows mapped to your most critical security use cases, helping your security operations team address high-priority requirements without added complexity.
USE CASE
Compliance
Manual processes and scattered tools make it difficult to meet requirements in regulations like GDPR, PCI DSS, and SOX. Exabeam automates monitoring and reporting so you can confirm controls work, reduce risk, and simplify how your team prepares for audits.
USE CASE
External Threats
External attackers use phishing, malware, and other methods to breach environments for financial gain, espionage, or sabotage. Exabeam detects activity at each stage of the attack chain and helps your team investigate and respond before damage expands.
See Exabeam in Action
Request more information or request a demo of the industry’s most powerful platforms for threat detection, investigation, and response (TDIR).
Learn more:
- If self-hosted or cloud-native SIEM is right for you
- How to ingest and monitor data at cloud scale
- How monitoring and analyzing AI and automated agent behavior uncovers risky non-human activity
- How to automatically score and profile user activity
- See the complete picture using incident timelines
- Why playbooks help make the next right decision
- Support compliance mandates
Award-Winning Leaders in Security
