Full-Time
AI-driven network detection and response platform
$174.8k - $236.5k/yr
Chicago, IL, USA
In Person
On-site in Chicago, Illinois; standard business hours.
See people who can refer or advise you
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.
Company Size
501-1,000
Company Stage
Series F
Total Funding
$352.3M
Headquarters
San Jose, California
Founded
2011
See people who can refer or advise you
Help us improve and share your feedback! Did you find this helpful?
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.
AI Security Solution of the Year: why trusted signal powers the Agentic SOC. July 14, 2026 Thank you to AI Breakthrough Awards for naming Vectra AI the AI Security Solution of the Year in the 2026 AI Safety, Security & Compliance category. Vectra AI, Inc. is grateful for the recognition, especially in a market where every security company has an AI story, every SOC conversation has an agentic SOC angle, and every buyer is trying to separate what is useful from what is noise. For Vectra AI, the AI story has always started in the same place: trusted signal intelligence. Security teams need to understand what happened, who or what was involved, how the activity unfolded, and why it matters. AI does not change that need. It raises the bar for it. Because without trusted signal, agentic AI just accelerates noise. That is the core of why this recognition matters to Vectra AI, Inc.. AI agents in the SOC, when equipped with the right signal, can move fast, ask questions, summarize activity, generate searches, and help teams work through large volumes of security data. But speed only helps when the underlying signal is accurate, contextual, and tied to real attacker activity. The value of AI in the SOC depends on the quality of the data and context it can reason from. Fabien Guillot explains this well in AI Agents in the SOC: Moving from AI Hype to Operational Reality: the practical question for security teams is where to start, what to trust, and how to make AI useful without creating another operational mess. This is where Vectra AI focuses. As a 2025 and 2026 Leader in the Gartner(R) Magic Quadrant(TM) for Network Detection and Response (NDR), Vectra AI signal intelligence helps explain what happened: which systems communicated, which protocols were used, how entities interacted, where lateral movement appeared, where command-and-control appeared, and how data moved. Identity data helps explain who or what was involved: the user, service account, machine identity, workload, cloud identity, privilege, access pattern, authentication activity, and trust relationship tied to the activity. Signal intelligence brings those together so security teams can understand why the activity matters. That matters for teams building their own Agentic SOC. These organizations want to own their AI architecture, data pipelines, agent frameworks, and security engineering workflows. Vectra AI gives them domain-specific detections, network metadata, identity context through capabilities like Identity Threat Detection and Response and Account Association, entity attribution across assets and identities, API-accessible signal, and MCP-ready access. In plain terms, Vectra AI, Inc. provide detections and the context behind them so enterprise teams can feed trusted signal into the AI systems they are building. It also matters for teams adding agentic capabilities to the SOC they already run. Vectra AI provides AI triage, correlation, and prioritization to connect related activity across domains and surface the hosts and accounts that need attention. Attack graphs help teams see how activity connects across entities, accounts, hosts, and infrastructure. Investigation and hunting capabilities help defenders move from signal to evidence. AI-Assisted Search helps teams ask questions in plain language, explore metadata, and review generated searches before running them. The third path is operationalizing AI and signal intelligence with help from Vectra AI experts. Many teams know where they want to go with AI, but they need help making it work in the SOC they already run. That work is practical: integrate signal into existing processes and tools, monitor what matters, turn threat hunting into a repeatable practice, optimize signal quality and workflows, support response decisions, and prove measurable improvement over time. That is where resources like Vectra MXDR, Managed Services, the Threat Hunting Methodology guide, and Reporting on the Vectra AI Platform help teams turn signal intelligence into daily practice. That is the part of AI security I think deserves more attention. AI is not just a technology conversation. It is a trust conversation. Can Vectra AI, Inc. trust the signal? Can Vectra AI, Inc. understand the context? Can Vectra AI, Inc. see the evidence? Can Vectra AI, Inc. keep people in control where judgment matters? Can Vectra AI, Inc. show that security is improving? Those are the questions Vectra AI is built to help answer. Vectra AI, Inc. is thankful that AI Breakthrough recognized that work. Vectra AI, Inc. see it as validation of the work its teams have been doing for years and motivation to keep helping defenders build, add, and operationalize AI with signal intelligence they can trust. Vectra AI, Inc. also know the work continues to earn and keep that trust.
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.