Vectra AI delivers unified network observability across all major cloud Platforms to stop hybrid threats faster. Vectra AI announced expanded cloud network observability capabilities within the Vectra AI Platform across Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI). The expanded capabilities advance Vectra AI's unified observability strategy across cloud network planes, cloud control planes, identities, and on-premises environments, helping organizations reduce visibility gaps, accelerate investigations, and stop modern hybrid attacks faster. As organizations increasingly operate across multiple clouds, security teams are struggling to understand how attacks move across on-premises and cloud environments. While native cloud tools provide visibility into individual cloud services and configurations, they were not designed to deliver a unified view of cloud network activity or identity interactions and attacker behavior across cloud providers. As attackers move through the seams between identity, network, cloud, SaaS, and unmanaged infrastructure, security teams are forced to stitch together disconnected telemetry from multiple tools. According to Vectra AI's 2026 State of Threat Detection and Response Report, 69% of organizations use more than ten tools for detection and response, reinforcing the operational challenge of securing hybrid cloud environments with siloed security workflows. "Running a multi-cloud environment without cloud network visibility is like running an airport without air traffic control. You may be able to see individual planes, but you can't understand how they are moving or interacting across the airspace. Security teams face the same challenge today. They can see individual cloud assets, identities, and alerts, but they often lack visibility into how attackers move between them across multiple clouds and hybrid environments," said Martin Roesch, Head of Cloud at Vectra AI. "Only Vectra AI delivers frictionless, modern network observability, signal, and control across on-premises environments, cloud control planes, and cloud network planes in a single view. That gives defenders the visibility and context they need to detect attacker behavior earlier, investigate with greater confidence, and respond faster across hybrid cloud environments." Vectra AI's expanded cloud network observability capabilities reflect the evolution of the NDR market, helping security teams correlate activity across cloud, identity, and network domains to improve threat detection, investigation, and response. The expanded capabilities include: * Cloud network observability and threat detections across AWS, Azure, GCP, and OCI using cloud-native flow and DNS telemetry. * Unified visibility across control planes, cloud network planes, identities, and hybrid environments in a single view. * AI-assisted investigations and attack correlation that help SOC teams prioritize and respond to real threats faster. Customers are already using Vectra AI to gain visibility across cloud environments, identify threats that move between cloud and identity systems, and accelerate investigations using cloud-native telemetry. Expanded cloud network observability and threat detection and response across AWS, Azure, GCP, and OCI further extends that visibility, helping security teams eliminate blind spots without deploying agents, packet mirroring infrastructure, or additional cloud security tools. This announcement comes on the heels of Vectra AI being named a Leader in the 2026 Gartner(R) Magic Quadrant(TM) for Network Detection and Response (NDR). This is the second consecutive year Vectra AI was named a Leader in the report with this year's version positioning Vectra AI highest for its Ability to Execute. In addition, Gartner recently published the 2026 Gartner(R) Critical Capabilities for Network Detection and Response Report, which recommends that cybersecurity leaders responsible for infrastructure security and deploying NDR for comprehensive threat detection and response should "require unified visibility across all cloud and hybrid environments with cloud-native telemetry and identity tracking as standard features." To learn more about how Vectra AI protects modern enterprises from AI-powered attacks, visit www.vectra.ai/platform. Download the 2026 Gartner Magic Quadrant for Network Detection and Response here. David Marshall has been involved in the technology industry for over 30 years, and he's been working with virtualization software since 1999. He became a pioneer in the virtualization and cloud computing field - one of the few people in the industry allowed to work with Alpha stage server virtualization software from industry leaders: VMware (ESX Server), Connectix and Microsoft (Virtual Server).Through the years, he has invented, marketed and helped launch a number of successful software companies and products. David holds a BS degree in Finance, an Information Technology Certification, and a number of vendor certifications. He's also co-authored two published books: "VMware ESX Essentials in the Virtual Data Center" and "Advanced Server Virtualization: VMware and Microsoft Platforms in the Virtual Data Center" and was the technical editor for two popular Virtualization "For Dummies" books. With his remaining spare time, David founded and operates one of the oldest independent modern data center publications, VMblog.com. And co-founded CloudCow.com, a publication dedicated to Cloud Computing. Since 2009, and each year thereafter, David has been honored with the vExpert distinction by VMware by Broadcom for his evangelism.Connect on LinkedIn: https://www.linkedin.com/in/davidmarshall/

Vectra AI has announced new exposure management capabilities for its AI platform, enabling organisations to proactively identify and reduce security gaps across hybrid, multi-cloud environments. The announcement comes as the company's 2026 research revealed 63% of security alerts remain unaddressed. The update introduces three key features: continuous asset inventory that automatically discovers devices across hybrid environments; proactive exposure detections that alert teams to security and compliance gaps; and environment observability providing insights into network performance and data movement. The San Jose-based company aims to address challenges facing enterprises operating AI-driven environments, where attackers increasingly exploit identity, misconfigurations and unmanaged assets. Traditional security approaches relying on periodic scans and static inventories leave critical gaps between visibility and action, according to Vectra AI.

Vectra AI names Chad Reese SVP, global channel chief. March 3, 2026 AI-driven cybersecurity firm Vectra AI has appointed Chad Reese as SVP, global channel chief. Reese has more than 25 years of experience building and scaling global channel organizations and will lead Vectra AI's worldwide partner strategy to accelerate growth across all routes to market, the company said. Reese will be responsible for expanding and scaling Vectra AI's established, broad partner ecosystem - including solution providers, systems integrators, strategic alliances, MSSPs, distributors, hyperscalers and other ecosystem partners - to drive greater customer value and global reach. "Chad is a proven channel leader with a track record of building high-impact partner ecosystems that drive measurable growth," said Derek Phillips, CRO at Vectra AI. "As enterprises operate across data centers, cloud, SaaS, identity systems, IoT/OT, and AI infrastructure, security teams need partners who can help them gain real-time observability and control across the modern network. As we continue expanding globally and increasing our investment in the channel, Chad's experience leading complex transformations and aligning sales and partner strategies will be instrumental as we scale our ecosystem, accelerate long-term growth and support partners worldwide." In his role, Reese will focus on scaling Vectra AI's global partner programs, enhancing enablement and profitability, and evolving the company's partner framework to support the diverse and changing needs of today's cybersecurity ecosystem. He'll work closely with sales, product and marketing leadership to help partners expand their services practices and capitalize on the growing demand for modern network protection for AI enterprises, officials said. "The Vectra AI Platform is built to protect the modern AI enterprise by always knowing who and what is on the network, how it is behaving and which behaviors represent real risk. Vectra AI sees the network as one unified attack surface, and its unified approach of delivering continuous observability across the modern network creates a powerful opportunity for partners," said Reese. "I joined Vectra AI because of the strength of the platform and the tremendous opportunity it creates for our global partner ecosystem to build differentiated services and deliver measurable outcomes in an AI-powered world."