Detect and mitigate cyberattacks
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The Vectra AI Platform integration with CrowdStrike Falcon Insight XDR Endpoint Detection and Response enables security teams to unify network, cloud, identity, SaaS, and endpoint context to detect, verify, and isolate cyberattacks in the enterprise quickly and automatically. Together Vectra AI and CrowdStrike solve the most persistent security problems facing enterprise organizations today: finding and stopping active cyberattacks and optimizing the time and resources of IT security teams.
CrowdStrike Falcon Insight XDR Platform detects suspicious activity on an endpoint and sends context to the Vectra AI Platform. From there CrowdStrike EDR host context enriches the Vectra AI Platform prioritized entity, which pulls in all relevant detections based on Vectra AI Attack Signal Intelligence. If deemed malicious, the Vectra AI Platform will communicate with the CrowdStrike Falcon Insight XDR Platform to isolate and lockdown the suspected endpoint. For further investigation of the endpoint detection, users can single-click pivot from the Vectra AI Platform into the CrowdStrike Falcon Insight XDR Platform for deeper analysis.
The integrated signal for extended detection and response (XDR)
with AI-powered detection for hybrid cloud
Leader in the 2025 Gartner® Magic Quadrant™ for NDR
36
AI patents
150+
AI models
12
MITRE references
AWS services protect configurations, control access, and monitor activity. But advanced attackers know how to exploit post-authentication blind spots. And they use them to compromise IAM roles, move laterally between accounts, and exfiltrate data.
Vectra AI equips you with the industry’s only AI-driven cloud detection and response solution purpose-built for AWS. It runs natively on AWS and integrates seamlessly with services like Amazon GuardDuty, AWS CloudTrail, AWS Security Lake, and AWS Bedrock. So you can stop advanced hybrid and multi-cloud attacks before they escalate.
Together, Vectra AI and AWS close the post-authentication gap.
Detect IAM abuse, lateral movement, and data exfiltration after authentication
Spot stealthy attacker behaviors that blend into normal AWS activity
Correlate detections across VPCs, regions, and identities
Unify AWS-native findings with network and identity signals for a single view
Make investigations 50% faster with rich metadata, entity attribution, and AI-driven triage
Identify 52% more potential threats
The Vectra AI Platform detects and correlates behaviors across cloud, network, and identity to stop threats before they spread.
Monitors 13.3 million IPs daily
Processes 10 billion sessions per hour
Handles 9.4 trillion bits per second
Covers > 90% of MITRE ATT&CK techniques
Makes Vectra AI the most-referenced MITRE D3FEND vendor
With AI-driven detections across cloud, network, and identity, you get full visibility and faster investigations — without added complexity.
Vectra AI detects attacker behaviors that occur after authentication, enriching AWS findings with context from network and identity activity.
No. Vectra AI complements AWS services by detecting active attacker behaviors that native tools alone may miss.
No. Vectra AI integrates seamlessly with services like Amazon GuardDuty, AWS CloudTrail, AWS Security Lake, and AWS Bedrock to deliver coverage, clarity, and control against advanced cloud attacks — all without adding operational overhead.
Vectra AI extends detection across AWS workloads, IAM, SaaS, on-premises, and hybrid cloud for unified visibility. Learn more about our AWS integrations at: https://support.vectra.ai/vectra/knowledge
Detect hidden threats, cut noise, and speed investigations across your AWS environment.
Stop attacks across encrypted channels, private access, and hybrid environments
Leader in the 2025 Gartner® Magic Quadrant™ for NDR
36
AI patents
150+
AI models
12
MITRE references
Zscaler Internet Access (ZIA) and Zscaler Private Access (ZPA) provide the essential SASE architecture you need for secure remote and hybrid work. But attackers still find blind spots. And they’ll use them to slip past prevention controls, remaining invisible to SASE alone.
The Vectra AI Platform ingests Zscaler traffic to detect hidden attacker behaviors across internet, private access, cloud, and IoT/OT. The result is complete visibility and faster investigations — without added complexity.
Together, Vectra AI and Zscaler bridge the gap between detection and protection for complete coverage across SASE environments.
Detect evasive C2 and exfiltration attempts that slip past prevention controls.
Spend 37% less time identifying new attack use cases
Identify 52% more potential threats
Correlate detections across cloud, on-premises, remote, and IoT/OT traffic for complete visibility.
Unify visibility across hybrid environments into a single centralized solution
Increase security team efficiency by 40%
Enrich Zscaler telemetry with AI-driven context, streamlining SOC triage and threat hunting.
Cut triage time by 60% with AI-driven context
Cut manual investigation tasks by 50%
Legacy solutions prevent and control access, but advanced attackers still find ways in. The Vectra AI Platform sees and stops hidden attacks as they progress from network to identity to cloud.
Monitors 13.3 million IPs daily
Processes 10 billion sessions per hour
Handles 9.4 trillion bits per second
Covers > 90% of MITRE ATT&CK techniques
Makes Vectra AI the most-referenced MITRE D3FEND vendor
Correlate signals across SASE, cloud, identity, and IoT to expose multi-vector hybrid attacks before they spread.
By ingesting traffic from Zscaler Internet Access (ZIA) and Zscaler Private Access (ZPA) , Vectra AI provides detection of hidden attacker behaviors across all users, workloads, and devices. This gives SOC teams the visibility they need to enforce zero trust policies with confidence.
Integrating the Vectra AI Platform with ZIA and ZPA allows your security team to identify evasive command-and-control, lateral movement, reconnaissance, and data exfiltration attempts that traditional legacy solutions and NGFW controls frequently miss.
No. The integration leverages existing ZIA and ZPA traffic flows, enriching telemetry with AI-driven detection to simplify, not burden, SOC workflows.
The integration covers cloud, on-premises, remote work, and IoT/OT environments, ensuring end-to-end visibility across the enterprise attack surface.
Strengthen zero trust with AI-driven detection, investigation, and response.