AI built to detect, investigate, hunt and stop attacks on your hybrid network

Threat detection and response refers to technologies and processes that identify cyber attacks, investigate suspicious activity, and contain threats before they cause damage.

Vectra AI uses behavior-based analytics trained to recognize real attacker techniques and TTPs, rather than simply flagging statistical outliers. That helps teams focus on high-fidelity detections tied to real attack behavior instead of chasing noise.

Vectra AI is built for the modern hybrid attack surface, combining packet, flow, DNS, identity, and cloud telemetry to deliver unified visibility across network, identity, cloud, and SaaS environments. It detects threats without relying on decryption, applies AI-driven prioritization to reduce noise, and enables AI-assisted investigations using rich metadata. Combined with native and integrated response capabilities, this allows Vectra AI to deliver more accurate detection, faster investigations, and complete threat containment compared to traditional network-centric NDR solutions.

Behavioral threat detection identifies malicious activity by analyzing how users, systems, and services behave rather than relying on known threat signatures.

Vectra AI analyzes attacker behavior across network traffic, cloud activity, and identity usage to surface attacks that move across domains. This helps security teams detect lateral movement, privilege abuse, command and control, and credential misuse as attacks unfold.

Yes. Our real-time AI detections identify attacks within encrypted enterprise protocols like LDAPS and SMBv3 without the need for decryption. In fact, unlike many other network security vendors, Vectra AI never decrypts data — doing so slows network performance and increases your risk of data exposure and privacy law violations. For this reason, Vectra AI’s data scientists have developed a unique approach for detecting threats inside encrypted SSL/TLS 1.3 traffic.

The Vectra AI Platform uses AI-driven behavioral detection, protocol analysis, and traffic pattern modeling to identify threats without decrypting traffic. By focusing on attacker behaviors rather than payloads, it can detect command and control, lateral movement, and data exfiltration even in highly encrypted environments. This approach preserves privacy while avoiding the performance and operational overhead of decryption.

Vectra AI monitors both human and machine identities across environments including Active Directory, Entra ID, Microsoft 365, Azure, and AWS. It detects behaviors such as credential abuse, privilege escalation, lateral movement, and abuse of legitimate access that traditional tools often miss.

Unlike traditional solutions that rely heavily on rules-based detection, Vectra AI uses behavior-driven AI for identity coverage, analyzing both normal and abnormal behaviors across your identity infrastructure. Our patented graph-based AI algorithm monitors interactions between accounts, services and hosts to detect attacker abuse of privileges. This allows us to detect stealthy login attempts and sophisticated protocol abuse.

The Vectra AI Platform detects Active Directory protocol abuse, including suspicious NTLM relay attacks, RDP tunneling, DCERPC misuse, Kerberos ticket abuse, and LDAP enumeration. It also highlights behaviors consistent with abnormal identity privilege escalation, anomalous behavior, and credential misuse — even when attackers bypass prevention.

Vectra AI attributes detections to recognizable hosts and identities, then enriches them with context across accounts, services, and systems. This reduces manual correlation across tools and gives analysts a clearer view of who is involved, how the attack is progressing, and where to respond. AI-assisted investigation further accelerates this process by enabling analysts to query and explore enriched metadata using natural language, reducing time to insight.

Vectra AI detections for network can monitor as many as 300,000 IPs at a time, along with AI Agent designed to correlate, triage, and prioritize the most urgent threats. In addition, the Vectra AI Platform offers native integrations to help analysts further investigate and stop attacks at any stage of progression, without needing to write custom JavaScript.