Modern cyber attackers with sophisticated hacking tools or the right stolen password can easily evade perimeter security to spy and steal inside the network, going largely undetected.
This gap leaves security teams manually chasing down security alerts and events. The inability to determine which alerts pose the highest risk to an organization complicates the task even further.
In practice, this often means breaches are discovered and reported by an external third-party after theft or damage has occurred. This can result in a debilitating post-breach investigation that can cost upwards of millions of dollars, not to mention unwanted negative publicity and brand damage.
The Vectra threat detection and response platform seamlessly integrates AI-based threat hunting and incident response of Google SecOps SIEM Backstory, a global security telemetry platform, for increased context during investigations and hunts and greater operational intelligence.
Together, Vectra and Google SecOps SIEM deliver a practical solution to the most persistent problem facing today’s cybersecurity teams—finding and stopping active cyberattacks.
The Cognito platform scores and ranks network hosts by risk. To enable faster investigation and response, all malicious behaviors are automatically associated to the physical network host, even if the IP address changes. Integration of the Cognito and Backstory platforms provides an interactive dashboard to quickly show the number of hosts classified as critical, high, medium and low risk. These scores help security teams prioritize events, eliminating the need to manually triage every event and vastly improving response time.
By analyzing all cloud and on-premises enterprise traffic, the Cognito platform reveals threats in all phases of an active cyberattack. Cognito provides this extraordinary range of threat intelligence and security telemetry to the Google SecOps SIEM niche machine-data repository, including detections of unknown malware and attack tools, threats that hide in common applications and encrypted traffic, and in progress threats across every phase of the attack kill chain. This visibility allows security teams to instantly distinguish opportunistic botnet behaviors from more serious targeted threats, enabling quick action before assets are stolen or damaged.
The Vectra approach to detection enables security teams to detect threats that were missed by other security solutions. The Cognito integration with Google SecOps SIEM Backstory easily connects and correlates Vectra’s findings with other third-party solutions, pulling in additional context for the security team. Google SecOps SIEM also captures, indexes and correlates Cognito threat detections in real time, making them available in a searchable repository so security teams can generate graphs, reports, alerts, dashboards and visualizations.

The Cognito platform uses supervised and unsupervised AI models to detect cyberattacks across all phases of the attack kill chain, ranging from command and control, internal reconnaissance, lateral movement and data exfiltration, without depending on signatures or reputation lists. Cognito detects these threats by analyzing the underlying behavior of attackers from the objective viewpoint of the network. All threat detections are correlated with the hosts involved in the attack, while Cognito’s risk and certainty scores prioritize the hosts posing the highest risk. This enables security teams to detect new and unknown threats, as well as discover attacks that do not rely on malware, such as malicious insiders or compromised user accounts. The integration pulls the Cognito metadata-enriched detections directly into the Google SecOps SIEM Backstory dashboard. Now, organizations can incorporate high-value detections from Cognito into their existing workflows and automate correlation in the Backstory security telemetry, providing greater context to threats and attacks.
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.