Organizations need greater visibility into threats and the devices and accounts used in attacks against them. Security teams are overburdened with alerts, increasing the risk of alert fatigue and allowing attackers to be active inside the enterprise network.
As the scale and sophistication of network threats continues to increase, businesses need greater visibility into threats and the devices and accounts used in attacks against them. A modern security approach must be built on automated and actionable intelligence to reduce the security operations center (SOC) workload and decrease the time an attacker is allowed to be active in an organization’s network.
Vectra AI correlates threats, prioritizes hosts based on risk and provides rich context to empower response. Vectra automatically associates all malicious behaviors to the physical network host, even if the IP address changes, and scores the host in terms of its overall risk.
Once the Vectra platform identifies an infected device, its IP address and threat certainty are ingested into Swimlane over an API-first architecture, which centralizes information from the Vectra platform and other systems.
Swimlane then triggers automated response workflows to other security tools to notify users, dynamically segment or quarantine the infected device, stop communication with a C&C server or prevent data exfiltration across all device types and network tiers. Integration between Vectra and Swimlane ultimately reduces the workload of security analysts and the risk of alert fatigue.
With this joint solution, Vectra and Swimlane have created a new class of defense, replacing manual incident response processes with machine-speed detection and decision making.
By combining data science and machine learning, Vectra provides inside-the-network threat detection as a next layer of defense in today’s security infrastructure.
With sophisticated automation and response tools seamlessly integrated across the security ecosystem, Swimlane enables an instant automated response to quarantine an infected device and stop communication with a C&C server, providing a foundation that secures against the broadest spectrum of threats.
The Vectra platform is the fastest, most efficient way to detect and respond to cyberattacks, reducing security operations workload by 34X. Security analysts use the Vectra platform to perform real-time attack hunting by analyzing rich metadata from network traffic, relevant logs and cloud events to detect attacker behaviors within all cloud and data center workloads, and user and IoT devices.
Vectra correlates threats, prioritizes hosts based on risk and provides rich context to empower response. Vectra integrates with endpoint detection and response, network access control (NAC) and firewalls to automate containment, and provides a clear starting point for searches within SIEM and forensic tools.
Swimlane is at the forefront of the growing market of security automation, orchestration and response (SOAR) solutions. It delivers scalable and flexible security solutions to organizations struggling with alert fatigue, vendor proliferation and chronic staffing shortages.
Swimlane’s solution helps organizations address all security operations needs, including prioritizing alerts, orchestrating tools and automating the remediation of threats, protecting against cyberattacks and reducing business risk. Together, Vectra and Swimlane deliver automated and actionable intelligence that reduces the SOC workload and the time attackers are active inside the network
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.