Detect malicious intent hiding behind legitimate access.
Vectra AI correlates identity, cloud, and network behaviors to stop insider threat.
Baseline normal identity behavior
Learns typical access patterns, so deviations signal potential intent, not just generic “anomalies.”
Detect high-risk insider indicators
Surface behaviors like unusual downloads, external forwarding rules, privilege abuse, and suspicious data staging.
Correlate steps into narratives
Connect separate actions across systems into one prioritized incident so teams can act with confidence.
Prioritize before exfiltration occurs
Elevate the cases that matter most, enabling rapid investigation and containment before impact.
Accelerate investigation
Reveal who accessed what data, where it moved, and how the behavior deviates from normal patterns so analysts can quickly validate risk.
Reduce exposure, stop attacks, and continuously strength posture.
Vectra AI reveals identities, access patterns, and sensitive data paths across the network, helping teams understand where insider risk exists.
Vectra’s behavioral AI detects suspicious insider behaviors, such as abnormal data access, unusual downloads, and privilege misuse across SaaS, identity, and network activity.
Security teams gain clear insight into insider risk trends, enabling stronger governance, faster response, and reduced data loss exposure.
Identify staging and escalation days or weeks before exfiltration, reducing downstream damage and cost.
Give analysts clear timelines and context to distinguish misuse from benign activity without the need for manual correlation.
Contain insider activity quickly to protect sensitive files, regulated data, and critical business systems.
Detect risk admin behavior and policy violations to prevent abuse of elevated access and persistent backdoor access.



EDR monitors activity on endpoints, but it can’t see unmanaged devices, network traffic, or identity abuse. Vectra AI adds agentless detection across network, identity, and cloud, then correlates those signals with endpoint alerts to confirm real attacks faster and eliminate blind spots.
The Vectra AI Platform uses AI-driven behavioral detections to find attackers as they compromise unmanaged IoT/OT devices, move laterally between hosts and domain controllers, steal credentials and escalate privileges, and covert C2 channels — even those hidden in encrypted traffic.
No. Vectra AI filters out noise at scale, significantly cutting false positives. Instead of sending every anomaly, it delivers a curated feed of high-fidelity detections tied to attacker behaviors. As a result, customers see and stop the most dangerous attacks within 24 hours — 99% faster than the average time it takes to find and contain breaches involving stolen credentials.
Because not every device supports an agent. IoT, OT, BYOD, and legacy systems often can’t run EDR. Even when agents are deployed, attackers use tampering or evasion techniques to blind them. Vectra AI provides agentless coverage that attackers can’t bypass.
By monitoring authentication, privilege use, and lateral movement in Active Directory, Kerberos, and cloud identity systems. Vectra AI reveals when credentials are stolen or abused, even if the endpoint looks normal, so SOC teams can stop account takeover early.
No. EDR is essential for protecting managed endpoints. Vectra AI complements EDR by adding visibility into unmanaged devices, network traffic, identity behaviors, and cloud control planes — creating full attack coverage when the two are used together.
SOC teams see fewer, higher-quality alerts, faster triage, and more confident incident response. Customers report faster investigations and major efficiency gains because detections are correlated automatically across multiple attack surfaces.
Learn why 2,000+ security teams use the Vectra AI Platform to extend coverage across network, identity, and cloud.