Insider threats do not look like conventional attacks. They are employees, contractors, and privileged users who have access to the systems and data they need to cause damage.
NetWitness helps security teams identify abnormal user behavior, suspicious access, privilege misuse, lateral movement, and data exfiltration by bringing network, log, endpoint, and behavioral evidence together in one platform.
The Challenge
The problem is fragmented data across different security tools. It makes insider threat monitoring slow and investigation-intensive. It also limits the effectiveness of an insider threat detection program built primarily around static rules, access controls, or isolated insider threat detection tools.
For security leaders asking how to prevent insider threats, prevention cannot depend on access control alone. Organizations need continuous behavioral visibility capable of identifying when trusted access begins to deviate from expected activity.
Average annual cost of insider security incidents in 2026
Of total breaches involved internal actors in 2026
Average time to contain an insider security incident
The Solution
NetWitness SIEM centralizes log monitoring across on-premises environments, public cloud infrastructure, and SaaS applications, while NetWitness Endpoint provides continuous endpoint visibility and process-level context. Combined with network telemetry and behavioral analytics, these signals give analysts a broader picture of suspicious user activity.
For many insider investigations, the network provides evidence that authentication logs cannot. NetWitness Network monitors internal east-west traffic and generates rich metadata per session, with full packet capture available where required.
Its network analytics can help teams identify suspicious data movement. It also provides session reconstruction for deeper forensic investigation.
When an insider alert is triggered, analysts need evidence to determine whether they are looking at malicious behavior or legitimate activity.
NetWitness supports evidence-driven investigation with searchable metadata, packet and session reconstruction, endpoint context, historical telemetry, behavioral analytics, and cross-domain correlation. Analysts can pivot through related activity to establish the timeline and scope of an incident rather than stopping at the original alert.
NetWitness Orchestrator then supports consistent investigation and response workflows, including insider-threat and data-exfiltration use cases, helping SOC teams move from detection to coordinated action.
Detect Behavioral Drift. Correlate the Evidence. Investigate the Full Story.
Bring together network traffic, authentication and identity events, enterprise logs, endpoint activity, cloud data, and other relevant security telemetry.
Use behavioral analytics and machine learning to understand expected activity and identify meaningful deviations from normal user, device, and peer-group patterns.
Identify suspicious activity such as abnormal access, unusual downloads, and more.
Connect user activity with network sessions, endpoint processes, authentication events, logs, and cloud activity to determine whether apparently legitimate actions form a suspicious sequence.
Pivot across related evidence, reconstruct network sessions, examine historical activity, trace data movement, and determine the scope and root cause of the event.
Use integrated investigation and orchestration workflows to escalate incidents, coordinate response actions, document findings, and support containment.
Reduce mean time to investigate with intuitive forensics tools.
Uncover threats that evade endpoints and log-based detection.
Support forensic readiness for regulations and audits.
Shorten dwell time and prevent data loss through proactive hunting.
Expert Insights and Strategies
