Continuous observability across your hybrid network

Network observability is the ability to continuously see and understand all activity across your network — including devices, identities, and connections — in real time.

Unlike traditional monitoring, it focuses on how systems and identities behave as they move across environments, giving security teams visibility into where exposure exists and how risk evolves.

The platform delivers unified observability across the modern network as a single attack surface, spanning network, identity, public cloud, SaaS, and AI infrastructure. By ingesting and correlating multiple telemetry sources, including network metadata, packet-derived signals, and flow logs, it provides comprehensive visibility across hybrid environments.

Traditional tools rely on logs, scans, or periodic snapshots. Vectra AI continuously observes live network and identity activity to build a real-time view of your environment.

This means you don’t just see what should exist — you see what is actually happening across your network, including unmanaged devices, transient assets, and active identities.

Modern organizations operate across hybrid environments where assets, identities, and access paths are constantly changing.

Without continuous and unified observability, security teams cannot answer critical questions like:

• Who and what is on the network right now?
• Where does exposure exist?
• How could an attacker move through the environment?

Vectra AI addresses this by providing a real-time, unified view of the modern attack surface across data center, multi-cloud, M365, edge, and IoT/ OT environments.

Vectra AI continuously inventories every device, workload, and identity communicating across the network, including:

• Managed and unmanaged devices
• Human and machine identities
• Service accounts and AI agents

This creates a living, dynamic inventory based on actual activity — not static asset lists or scans.

Risky access paths are the ways attackers can move through your environment using legitimate credentials or misconfigurations. Vectra AI analyzes authentication and access behavior to reveal:

• Over-privileged or stale accounts
• Weak identity controls
• Paths attackers can use for lateral movement

This helps teams reduce exposure before it is exploited.

Vectra AI prioritizes exposure based on real-time activity and risk, not static severity scores. It evaluates:

• Which assets and identities are active
• How they are behaving
• Where attacker paths exist

This ensures security teams focus on the exposure that actually matters, not theoretical risk.

Vectra AI supports AWS, Azure, Google Cloud Platform, Oracle Cloud, IBM Cloud, SaaS environments, and on-premises networks.

VPC and VNet flow logs record communication between a source and a destination into, out of, or between cloud networks. Cloud flow logs show what applications, data, and devices are active and what’s happening to them in a cloud network. They’re considered the source of truth for understanding network activity, and are the most effective way to detect anomalous and malicious activity. Common use cases for cloud flow logs in security include network monitoring, usage monitoring and optimization, compliance, and network forensics and security analysis.