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Vectra.ai builds AI-powered security tools that watch traffic in cloud environments, SaaS apps, data centers, and enterprise networks to find cyber threats in real time. Its main product, the Cognito platform, connects with other security tools like EDRs, SIEMs, firewalls, and hybrid cloud setups. It collects network data and adds machine-learned security insights, then automatically detects attacker behaviors and flags the most at-risk devices. This helps security teams investigate incidents more efficiently and hunt for threats with AI assistance. Vectra.ai differentiates itself through strong integration across many security tools and its ability to provide real-time detection and risk prioritization across a wide set of environments. The company's goal is to help large organizations reduce security risk and improve their overall security posture by quickly detecting and responding to threats across their entire cloud footprint.
Industries
Data & Analytics
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
501-1,000
Company Stage
Series F
Total Funding
$352.3M
Headquarters
San Jose, California
Founded
2011
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Family Medical Leave
Flexible Work Schedule
Remote Work Program
Health Insurance & Wellness Benefits - Dental Benefits, Disability Insurance, Flexible Spending Account (FSA), Health Insurance Benefits, Life Insurance, Vision Benefits
401(K)
Employee Stock Purchase Plan
Paid Holidays
Paid Sick Days
Vectra AI achieves FedRAMP High Authorization through partnership with Knox Systems, bringing ai-native security to federal agencies. Aug 06, 2026, 09:01 ET Authorization enables agencies to modernize cyber defense with AI-native attack signal correlation, unified observability, and accelerated Zero Trust initiatives SAN JOSE, Calif. and WASHINGTON, Aug. 6, 2026 /PRNewswire/ - Vectra AI, the leader in AI-native security and observability, today announced it has achieved Federal Risk and Authorization Management Program (FedRAMP) High Authorization through its partnership with Knox Systems (Knox), the largest, longest-running federal managed cloud. With this authorization, U.S. federal agencies can continuously understand cyber risk across modern federal environments, prioritize real attacker activity, and act before threats become mission impact. "Federal cyber defense has entered a new era," said Hitesh Sheth, CEO of Vectra AI. "AI is changing both sides of cybersecurity. Attackers are using AI to move faster, automate reconnaissance, and overwhelm defenders with noise. AI should help security teams understand what matters, reduce investigation burden, and act before cyber risk becomes mission impact. Achieving FedRAMP High means federal organizations can now adopt an AI-native platform that strengthens mission resilience, accelerates Zero Trust, and helps security teams stay ahead of modern threats." Federal missions no longer operate across isolated networks, applications, and devices. Today's environments span identities, cloud workloads, contractors, operational technology, AI systems, and critical infrastructure that function as one interconnected mission environment. While agencies have invested heavily in cybersecurity tools and modernization initiatives, defenders still face a fundamental challenge: turning fragmented activity into a continuous understanding of where cyber risk is building and what action matters most. With FedRAMP High Authorization, federal agencies can now deploy the Vectra AI Platform to: * Correlate attack signals across network, identity, cloud, SaaS, operational technology (OT), and AI infrastructure to identify real attacks faster. * Proactively reduce attack exposure by identifying identity risks and attack paths before they are exploited. * Accelerate investigations and response through AI-driven prioritization and automation. * Produce audit-ready evidence supporting continuous monitoring, Zero Trust initiatives, and cyber resilience. "Federal agencies don't need another dashboard - they need continuous understanding of what's happening across their mission environment," said John Klopacz, Vice President of Federal at Vectra AI. "Vectra AI's FedRAMP High Authorization enables agencies to deploy AI-native security that continuously observes behavior across identities, networks, cloud services, and critical infrastructure at machine speed, giving defenders the trusted signal with context they need to effectively contain exposure, accelerate response, and ultimately, protect mission continuity." Vectra AI achieved FedRAMP High Authorization through its partnership with Knox, whose managed federal cloud accelerated the authorization process and enabled faster delivery of modern cybersecurity capabilities to government customers. "Federal missions depend on defenders who can move as fast as their adversaries, and that's no longer possible with fragmented, siloed tools," said Irina Denisenko, CEO of Knox Systems. "By partnering with Knox to achieve FedRAMP High Authorization, Vectra AI is helping accelerate the secure adoption of AI-native cybersecurity across government while removing barriers that have historically slowed innovation." FedRAMP High Authorization builds on Vectra AI's continued investment in helping public sector organizations modernize cyber defense for the AI era. FedRAMP High Authorization marks another step in Vectra AI's commitment to helping federal agencies continuously understand cyber risk, reduce exposure, and protect mission continuity in an increasingly interconnected world. About Vectra AI Vectra AI is the leader in AI-native security and observability for the AI enterprise. As artificial intelligence changes who and what works inside the enterprise, attackers are exploiting more attack paths, abusing trusted identities, and automating attacks at unprecedented speed and scale. Rooted in more than a decade of behavioral AI and machine learning innovation, Vectra AI helps security teams observe behavior across the enterprise, understand attacker activity, signal what matters, and act with confidence. The result is reduced attack exposure, faster attack response, and improved SOC efficiency. With 39 patents, recognition as a Leader in the 2025 and 2026 Gartner(R) Magic Quadrant(TM) for Network Detection and Response, and the trust of more than 2,000 organizations worldwide, Vectra AI helps organizations build attack resilience in the AI era. About Knox Systems Knox Systems operates the largest managed federal cloud, trusted by top agencies and partners across defense and civilian sectors. Built for speed, resilience, and compliance, Knox delivers FedRAMP authorization in 90 days - turning the biggest bottleneck in government IT into the fastest path to modernization. Knox proudly serves Adobe, Celonis, OutSystems, Armis, BigID, and more AI and SaaS providers, accelerating secure innovation across the federal landscape. Learn more at knoxsystems.com. SOURCE Knox Systems, Inc
Vectra AI unveils new AI Pro platform for smarter SOCs. Vectra AI introduced Vectra AI Pro, enabling safer AI adoption across SOCs through trusted signal intelligence and AI-native security. Black Hat USA - Vectra AI, the leader in AI-native security and observability, today announced Vectra AI Pro, a new offering designed to help organizations adopt AI safely across the SOC through trusted signal intelligence. In a post-Mythos world, attacks are executed at machine speed, forcing security teams to adopt AI-powered workflows simply to keep pace. But AI agents are only as effective as the signal they reason from. Unlike platforms that rely on isolated telemetry, Vectra AI Pro continuously correlates network, identity, cloud, SaaS, EDR and SASE signals into a unified understanding of attacker behavior. This cross-domain signal intelligence gives AI agents the context they need to reason accurately and act confidently. "Everyone has AI today. Vectra AI's advantage isn't that it uses AI. It's that it applies AI to understand attacker behavior. As attackers themselves become AI-powered, the winning defense won't be the one with the most detections, it will be the one that delivers trusted signal intelligence," said Hitesh Sheth, President and CEO of Vectra AI. "Our attack signal intelligence arms humans and AI agents to proactively remove attack exposure and rapidly stop active attacks in progress." "AI is changing the speed of attacks, so defenders have to respond at that same pace," said AJ Wiggan, Security Operations Manager at Gamma. "For us, Vectra AI brings together correlated network, identity, and cloud signals with the context to understand what happened before, what happened afterwards, and the full attack story. That helps us compress investigation and response, act with greater confidence, and stay ahead of attackers." The Agentic SOC runs on trusted signal intelligence. Vectra AI Pro provides trusted signal intelligence that uniquely combines: * Behavioral intelligence - detects attacker behaviors across the attack lifecycle, including reconnaissance, credential abuse, privilege escalation, lateral movement, command-and-control, and data exfiltration. * Identity and Device Intelligence - attributes activity across users, AI agents, service accounts, workloads, hosts, devices, cloud resources and unmanaged systems while correlating network, identity, cloud, SaaS, SASE and EDR telemetry into a unified attack story. * Risk and Forensic Intelligence - prioritizes the entities, behaviors and attack paths that matter most while providing the contextual details AI agents need to understand what happened, who was involved and why it matters. * Exposure Validation - enables AI agents to investigate, hunt, respond, report, and prove attack exposure is reduced, attack paths are removed, active attacks are mitigated, and controls are effective. Gartner recently recognized Vectra AI's strength in signal intelligence in the Gartner(R) Critical Capabilities for Network Detection and Response, 2026. One platform. Three paths to the Agentic SOC. Vectra AI Pro empowers customers to adopt an agentic SOC in three practical ways. Build your own agentic SOC. Teams building their own AI-powered SOC can use Vectra AI Pro as the trusted signal layer for custom AI agents, copilots and automations through REST APIs, MCP Server, and curated AI skills including IOC enrichment, PCAP retrieval and forensic investigation, hunting, and reporting. This gives customers a documented, extensible path to feed trusted signals into internal AI agents, SOC copilots, data pipelines, detection engineering, and custom automations. Add agentic workflows to your SOC. For teams strengthening an existing SOC, Vectra AI Pro's agents automatically detect, correlate, triage, prioritize and generate natural-language cases that explain why the entity was prioritized with deep context to investigate and hunt for what happened, who did it, how it connects across entities and domains, and the recommended actions to take. Operationalize AI agents in your SOC. Many organizations know they need AI in the SOC but struggle to operationalize it. Vectra AI experts help customers integrate trusted signal intelligence into existing tools and workflows, operationalize threat hunting, optimize investigation and response processes, and demonstrate measurable reductions in attack exposure. Published August 05, 2026
Vectra AI has expanded its partnership with Endace to offer integrated AI-native security and packet capture technology. The collaboration allows Vectra AI to sell EndaceProbes directly to customers, combining real-time threat detection with full packet-level forensics. The integrated solution targets federal government and financial services organisations, providing chain-of-custody evidence for compliance, fraud investigations, and incident response. Vectra AI's platform identifies threats in real time, whilst Endace's continuous packet capture retains complete network traffic records. The technology enables security teams to validate detections, retrieve historical network data for audits, and conduct thorough incident investigations. Endace's always-on capture works with leading security tools including Microsoft, Palo Alto Networks, and Cisco. Vectra AI, recognised as a Leader in Gartner's Magic Quadrant for Network Detection and Response, serves over 2,000 organisations worldwide.
Vectra AI has expanded its cloud network observability capabilities across Amazon Web Services, Microsoft Azure, Google Cloud Platform and Oracle Cloud Infrastructure. The company claims to be the only platform providing unified visibility across all major cloud platforms and hybrid environments. The expansion addresses growing security challenges as organisations operate across multiple clouds. According to Vectra AI's 2026 State of Threat Detection and Response Report, 69% of organisations use more than ten tools for detection and response, creating operational challenges with disconnected telemetry. The enhanced platform aims to help security teams reduce visibility gaps and detect threats moving between on-premises and cloud environments. Vectra AI's unified observability strategy covers cloud network planes, cloud control planes, identities and on-premises infrastructure in a single view.
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/
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Industries
Data & Analytics
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
501-1,000
Company Stage
Series F
Total Funding
$352.3M
Headquarters
San Jose, California
Founded
2011
Find jobs on Simplify and start your career today