Vectra AI for Cloud
Multi-cloud observability and protection that exposes IaaS, SaaS, and GenAI blind spots
Elevate your defenses. Complement native cloud security with in-depth protection against multi-cloud attacks spanning every major cloud provider.
Comprehensive multi-cloud coverage
Unified visibility and protection across multi-cloud environments
Modern attacks move freely across cloud accounts, services, and regions. Vectra AI provides unified visibility and protection across both the control plane and data plane of cloud environments. By ingesting and normalizing VPC/VNet flow logs, DNS activity, and cloud service interactions across all major clouds, Vectra AI exposes both risky cloud configurations and malicious behavior inside the cloud infrastructure itself.
What Makes Our Cloud Coverage Different
Strengthen cloud security with AI-driven precision
Vectra AI detections for clouds reveal attacker behaviors that other tools can't. Here’s how we do it.
Multi-cloud Coverage
Unlike other vendors that focus on limited platforms or attack vectors, the Vectra AI Platform provides multi-cloud protection spanning all stages of an attack for AWS, Google Cloud Platform, IBM Cloud, Microsoft Azure, Microsoft 365, Microsoft Copilot for M365, and Oracle Cloud environments.
Native Tool Reinforcement
Our coverage strengthens native cloud security tools by detecting modern attack techniques that often bypass preventive controls — even in well-configured environments. With over 100 specialized AI-driven detections tailored for Microsoft environments and more than 40 for AWS, we expose threats that native tools routinely miss.
Human and Non-Human Cloud Identities Monitoring
Our coverage monitors both human and non-human identities to detect credential abuse, privilege escalation, and lateral movement across your cloud environment.
Behavior-based Analytics
Unlike anomaly-based security solutions that use AI to identify statistical deviations from baseline activity, the Vectra AI Platform implements sophisticated behavior-based detection algorithms. Our AI is engineered to recognize real TTPs, with machine learning models trained on real-world attack data and MITRE ATT&CK frameworks. The result is faster identification of actual malicious activity — rather than mere outliers. This fundamental architectural difference enables our detection engine to continuously adapt to evolving threat actor methodologies, including zero-day exploits and living-off-the-land techniques that typically evade traditional detection mechanisms.
Privilege Access Analytics
Our patented graph-based AI algorithm establishes a baseline of normal privilege usage by continuously monitoring interactions between accounts, services, and hosts across cloud and hybrid environments. This helps ensure detection of attacker behaviors such as privilege escalation, credential misuse, and lateral movement — even when leveraging legitimate credentials. The result is early detection and rapid response to privilege abuse.
Accelerated Workflows
Unlike other vendors that rely on alphanumeric identifiers, Vectra AI attributes detections and activities to human or machine account names — eliminating hours of manual lookups across multiple tools. Because our cloud attribution technology uses advanced AI/ML to analyze over a dozen distinct artifacts, each detection confidently links attacks to specific identities across multi-cloud environments. Analysts also benefit from enhanced metadata that provides clear context from the start, as well as zero-query investigation for instant access to relevant cloud logs and guided pathways. Together, these features speed up threat validation and response without tedious manual effort.
Flexible Deployment
Our agentless cloud coverage scales with your organization — securing cloud migrations and SaaS adoption while delivering continuous visibility and protection.
MITRE Mapping
MITRE Mapping
Industry-leading network AI detections
Covering 90%+ of relevant MITRE ATT&CK techniques
Download the datasheet to see how Vectra AI arms your team to shut down today’s fastest, stealthiest adversaries.
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FAQS
Vectra AI for Cloud: Frequently Asked Questions
What makes Vectra AI a leader in AI-powered cloud security?
Vectra AI delivers AI-powered cloud security by detecting and responding to real-world attacker behaviors across multi-cloud and hybrid environments. Unlike traditional anomaly-based tools, Vectra AI uses behavior-based analytics and machine learning models trained on real-world attacks and MITRE ATT&CK techniques. This enables real-time cloud attack signal generation to detect living-off-the-land techniques, credential abuse, and lateral movement across cloud apps — even those leveraging GenAI tools like Copilot.
How does Vectra AI provide visibility into both cloud flow logs and data planes?
Vectra AI provides complete visibility into cloud data-plane activity. Modern cloud attacks live in the data plane — moving between workloads, abusing services, and quietly exfiltrating data. Vectra AI provides deep, AI-driven visibility into cloud flow logs and data-plane behavior, while connecting those signals across identity, SaaS, and network environments to reveal real attacks in progress.
Together, they give security teams the clarity and speed needed to stop cloud threats before impact.
How does the Vectra AI Platform protect against cloud-based threats?
The Vectra AI Platform fortifies cloud environments by providing accurate attack signal detection across AWS, Google Cloud Platform, IBM Cloud, Microsoft Azure, Microsoft 365, Microsoft Copilot for M365, and Oracle Cloud environments. It offers cloud threat protection at every layer — from control planes and resources like S3 and EC2 to SaaS services like Teams, SharePoint, and OneDrive. This multi-layered approach ensures multi-cloud attack visibility and helps stop attackers before they can escalate access or exfiltrate sensitive data.
How does the Vectra AI Platform enhance SaaS threat detection?
The Vectra AI Platform fortifies cloud environments by providing accurate attack signal detection across AWS, Google Cloud Platform, IBM Cloud, Microsoft Azure, Microsoft 365, Microsoft Copilot for M365, and Oracle Cloud environments. It offers cloud threat protection at every layer — from control planes and resources like S3 and EC2 to SaaS services like Teams, SharePoint, and OneDrive. This multi-layered approach ensures multi-cloud attack visibility and helps stop attackers before they can escalate access or exfiltrate sensitive data.
How is Vectra AI’s cloud protection different from other cloud security services?
Unlike vendors focused on isolated platforms or simple anomaly detection, the Vectra AI Platform protects cloud-native architectures, SaaS, and hybrid environments. With over 100 AI-driven detections for Microsoft environments and over 40 AI detections for AWS, Vectra AI provides next-gen cloud security that evolves with attacker TTPs. It also accelerates investigations with zero-query access to cloud logs and AI-powered protection across identities, data, and applications.
What’s the difference between the Vectra AI Platform and a CSPM (Cloud Security Posture Management) tool?
The Vectra AI Platform and CSPM tools serve different but complementary roles in cloud security: CSPM focuses on preventing misconfigurations and maintaining proper cloud posture, but it can’t detect active threats such as identity-based attacks, credential theft, lateral movement, data exfiltration, zero-day exploits, and living-off-the-land techniques. These hidden threats often bypass preventive controls and exploit legitimate access in even properly configured environments. In contrast, the Vectra AI Platform continuously monitors for and detects these behaviors, providing real-time threat detection and response. Together, they deliver a layered defense by combining posture management with deep threat visibility to stop breaches before they cause damage.
How do Vectra AI detections for cloud help with GenAI protection?
By monitoring how attackers might leverage tools like Microsoft Copilot for M365 to accelerate sensitive data discovery or execute malicious actions, the Vectra AI Platform provides advanced visibility. This makes it easier to identify suspicious behavior patterns, helping organizations protect sensitive data from AI-driven reconnaissance and theft.
Can the Vectra AI Platform help protect hybrid cloud and multi-cloud environments?
Absolutely. The Vectra AI Platform provides hybrid cloud attack protection and multi-cloud security by continuously monitoring interactions across AWS, Azure, Microsoft 365, and Microsoft Copilot for 365. The result is consistent cloud security protection and cloud data threat protection that adapts to your cloud migration and SaaS adoption at any scale.
How does Vectra AI support threat hunting in the cloud?
Vectra AI enables proactive threat hunting by giving analysts direct access to enriched detection metadata and real-time signals. Investigators can rapidly pivot between related events across cloud, identity, and network layers, significantly accelerating threat hunting across the unified platform. This visibility helps ensure no attack goes undetected, even in complex multi-cloud and hybrid cloud environments.
How does the Vectra AI Platform address lateral movement across cloud apps?
Vectra AI’s patented Privilege Access Analytics and entity attribution technologies reveal lateral movement across cloud apps by continuously monitoring normal and abnormal interactions between accounts, services, and hosts. By detecting credential misuse and privilege escalation early, security teams can stop attackers before they establish persistence or move deeper into cloud-native infrastructures.
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