AI Cybersecurity that knows what is on your network

The Vectra AI Platform protects modern enterprises by detecting and stopping attacks across network, identity, and cloud as one unified attack surface. It combines threat exposure management, AI-driven detection and response, and posture improvement to reduce risk before attacks begin and stop threats in progress. Security teams gain clear signal, faster response, and measurable improvements in resilience.

Traditional tools analyze isolated data from endpoints, logs, or network traffic. Vectra AI detects attacker behavior across network, identity, and cloud as one unified attack surface. Using AI-driven correlation and prioritization, it identifies real attacks such as lateral movement and credential abuse that other tools miss, giving teams clear signal instead of alerts.

Organizations using Vectra AI reduce attack exposure, detect threats earlier, and stop attacks faster. They achieve significant reductions in alert noise and investigation time while improving SOC productivity. The platform also lowers SIEM costs and provides measurable evidence of improved security posture, operational efficiency, and compliance readiness.

Vectra AI identifies risks across the modern network, including weak or over-privileged identities, risky access paths, unmanaged devices, and insecure network connections. By analyzing real behavior instead of static configurations, it reveals exposures that attackers actively exploit, helping teams prioritize and remediate the risks that matter most.

Vectra AI continuously identifies exposure across identities, access paths, and network behavior in hybrid environments. It highlights weak permissions, risky connections, and attack paths attackers are likely to exploit. This enables security teams to reduce exposure before compromise, strengthen posture, and demonstrate proactive risk management aligned to Zero Trust and modern compliance requirements.

Vectra AI uses behavioral AI to detect attacker activity across the full attack lifecycle, including reconnaissance, credential abuse, lateral movement, and data access. It correlates activity across network, identity, and cloud to identify real attacks in progress and enables rapid investigation and response, helping teams stop threats before they reach critical systems or data.

Vectra AI automatically correlates and prioritizes activity across network, identity, and cloud to surface real attacks instead of isolated alerts. By focusing on attacker behavior and progression, it reduces alert volume and eliminates manual triage. Security teams spend less time investigating noise and more time responding to high-confidence threats.

Vectra AI provides unified context across network, identity, and cloud, allowing analysts to quickly understand attack scope, progression, and impact. AI-assisted investigations and prebuilt threat hunts deliver answers in seconds, reducing investigation time and enabling faster containment of active threats before they spread across the environment.

Vectra AI enhances existing tools by providing visibility and detection across network, identity, and cloud where other tools have gaps. It improves signal quality, reduces alert noise, and enables better automation. Organizations use Vectra AI to increase the effectiveness of their SOC while consolidating tools and lowering operational costs.

Vectra AI complements SIEM, SOAR and EDR by detecting attacks those tools often miss. It improves signal quality, reduces alert volume, and strengthens response workflows. Organizations use Vectra AI to extend their existing investments while improving efficiency and reducing overall security costs.

EDR and SIEM provide valuable visibility but are limited to endpoints and logs. 30-40% of devices lack EDR coverage because agents cannot be deployed on them, creating significant blind spots. Modern attacks move across identity, cloud, and network, often bypassing these controls. Vectra AI detects this lateral movement and identity abuse in real time, improving detection coverage, reducing alert noise, and enabling faster response across the full hybrid environment.

The Vectra AI Platform integrates with SIEM, SOAR, and EDR through API- and log-based connections, enabling seamless data exchange across the security stack. It sends prioritized detections and enriched metadata to SIEM and SOAR tools for centralized visibility and automated workflows, while integrating with EDR to correlate endpoint telemetry with network and identity signals for full attack context. These integrations support automated response actions and reduce the need for manual correlation by unifying signals across domains, improving detection fidelity and accelerating investigation and response.

Vectra AI aligns with major frameworks including NIST CSF 2.0, NIS2, and Zero Trust by providing continuous visibility into identity, access, and network behavior. It enables organizations to demonstrate control effectiveness, reduce exposure, and produce audit-ready evidence of security posture and compliance in dynamic environments.

• NIST: Learn how the Vectra AI Platform aligns to NIST 2.0 Cybersecurity Framework (CSF) here.
• NIS2: Learn how the Vectra AI Platform meets European NIS2 (Network and Information Security 2) here.
• Zero Trust: Learn how the Vectra AI Platform maps to US Department of Defense (DoD) Zero Trust here.

Vectra AI provides continuous, evidence-based visibility into risk, detections, and response actions across the modern network. It generates audit-ready insights that show how exposure is reduced, threats are contained, and controls are operating effectively, helping organizations meet regulatory requirements and prove compliance with confidence.

Vectra AI is designed for rapid deployment with minimal operational overhead. Organizations typically gain meaningful visibility across network within days, and across identity and cloud within minutes. Its agentless architecture and seamless integrations allow teams to start detecting risk and active threats quickly without complex implementation or disruption.

Vectra AI can be deployed as a self-managed platform, with optional expert support, or through a managed security service provider. Organizations can choose to operate the platform directly, augment their team with Vectra MDR services, or consume it as part of a managed offering based on their operational needs.

Vectra AI offers flexible support options, including expert-led MDR services and 24x7x365 technical support. MDR teams help detect, investigate, and respond to threats on behalf of customers, while premium support ensures continuous assistance for platform optimization, incident response, and operational success.