Key Takeaways
- Cogent Security raised USD 42 million in Series A funding. The round was led by Bain Capital Ventures. Investors include Greylock Partners and Definition Capital. Angels include leaders from OpenAI, Abnormal Security, and Datadog. Total funding reached USD 53 million.
- The company launched in July 2025. Within six months, it expanded to dozens of Fortune 1000 firms. It now protects millions of enterprise assets.
- Its AI agents reduce vulnerability exposure by 97%. Security teams can achieve 5× higher productivity with the same resources.
- The founders previously worked at Abnormal Security, Coinbase, and Blackstone. The research team includes former experts from Google DeepMind.
Quick Recap
On February 18, 2026, San Francisco-based Cogent Security officially announced a $42 million Series A funding round led by Bain Capital Ventures, with continued backing from Greylock Partners and Definition Capital. Personal investments came from founders and executives at OpenAI, Abnormal Security, and Datadog.
The round brings Cogent’s total capital raised to $53 million, a significant war chest for a company that only emerged from stealth six months ago with an $11 million seed led by Greylock. The announcement was shared by Saam Motamedi, Partner at Greylock Partners, the firm that incubated Cogent through its Edge program.
Inside Cogent’s Autonomous Remediation Engine
Modern scanning tools from the likes of Tenable, Qualys, and Rapid7 have made detection fast and comprehensive. But the post-detection workflow – figuring out who owns the affected system, assessing real-world risk, writing tickets, coordinating fixes across engineering and IT teams, and verifying completion – remains a slow, manual, human-driven grind that takes days or weeks. Meanwhile, attackers armed with AI can begin probing exposed vulnerabilities within minutes of public disclosure.
- Cogent’s AI agents are designed to close this “execution gap” end-to-end:
- Investigate vulnerabilities by ingesting data from across the enterprise
- Determine system ownership automatically, eliminating Slack-thread scavenger hunts
- Assess real-world risk based on the specific environment and business context
- Generate remediation steps ready for engineers to implement
- Track fixes through to verified completion
Every agent action is traceable, reproducible, and auditable, with configurable approval gates and policy enforcement designed for enterprise governance requirements. The platform plugs directly into existing security and engineering workflows not as a rip-and-replace, but as an autonomous layer on top.
Funding and Technical Details
Cogent’s AI agents aggregate data from scanners, CNAPPs, and EDR tools, adding business context for prioritization and automated fixes. Every action remains traceable, auditable, and policy-governed, integrating into existing workflows. Customers report 3x higher team output and remediation twice as fast, with onboarding in just 3 hours.
Rising AI Threats in Cybersecurity
Vulnerability management faces escalation from over 45,000 CVEs last year and AI-aided exploits by attackers, widening exposure gaps in sectors like banking and healthcare. Cogent’s agentic approach counters this by closing the “fixing” bottleneck traditional tools ignore. Competitors like Dropzone AI (alert triage) and Mend.io (code fixes) exist, but few match Cogent’s end-to-end remediation focus amid regulatory pushes for faster threat response.
Competitive Landscape
| Feature / Metric | Cogent Security | Furl | Seemplicity |
| Founded | 2024 (launched July 2025) | 2022 | 2020 |
| Latest Funding | $42M Series A (Feb 2026) | $10M Seed (Jan 2026) | $50M Series B (Aug 2025) |
| Total Raised | $53M | $10M | ~$82M |
| Lead Investors | Bain Capital Ventures, Greylock | Ten Eleven Ventures | Sienna Venture Capital |
| Core Focus | End-to-end autonomous remediation with AI agents | Agentic AI for executing fixes on endpoints/servers | Exposure action platform — aggregation, prioritization, and workflow automation |
| AI Agent Capabilities | Investigates, prioritizes, remediates, tracks to completion autonomously | Ingests findings, investigates system context, executes and validates fixes | AI-powered workflow routing and prioritization; AI agents in development |
| Enterprise Governance | Full audit trails, configurable approval gates, traceable agent decisions | Built-in validation of executed fixes | Automated task routing with role-based assignment |
| Key Metric / Claim | 97% reduction in critical exposure windows | Targets the “1 in 10 vulnerabilities fixed” problem (Cyentia/Cisco) | 95% reduction in exposure noise; 800% ARR growth since Series A |
| Notable Customers | Fortune 1000 companies including CSC Generation, Upwind, Alteryx | Early-stage enterprise adopters | Fortune 500 companies; processes 1.5B findings daily |
| Team Background | Ex-Abnormal Security, Coinbase, Google DeepMind | Ex-Rapid7, Automox, Censys | Israeli cybersecurity industry veterans |
Strategic Analysis
Cogent leads in depth of autonomous agentic capabilities – its agents handle the entire lifecycle from investigation to verified fix, backed by a DeepMind-pedigreed AI team and strong enterprise governance. Seemplicity has a head start in go-to-market maturity and scale, with broader exposure management workflows and impressive ARR growth, though its AI agent capabilities are still catching up to Cogent’s autonomous execution model. Furl, while earliest-stage and smallest-funded, brings strong endpoint-level remediation depth from its Rapid7/Automox heritage, making it a specialist competitor to watch in the hands-on fix execution layer.
Bayelsa Watch’s Takeaway
I think this is a big deal, In cybersecurity markets, the fastest scaling startups are typically those that address widely recognized operational gaps with clear automation value. A persistent challenge across enterprise security teams has been the inability to remediate known vulnerabilities at the required speed. Many security leaders acknowledge visibility into risks, yet execution bottlenecks continue to delay resolution.
Cogent’s progression from stealth mode to deployments across dozens of Fortune 1000 organizations within six months indicates strong market validation. Such rapid enterprise adoption suggests that the solution is addressing an immediate and measurable operational need rather than a conceptual or exploratory use case.
