FAZE emerges from stealth with $6M seed and 20X revenue growth
What's the deal? FAZE SecurityDealroom has a profile for this one. Try Dealroom →, the offensive cybersecurity startup formerly known as CYTRIXDealroom has a profile for this one. Try Dealroom →, emerged from stealth on September 11 with $6 million in seed funding. New Era Capital PartnersDealroom has a profile for this one. Try Dealroom → led the round, with participation from Lockstep VC.
What's the endgame? FAZE sells what it calls an Offensive Security Orchestration platform, built around an Agentic Red Team — autonomous agents trained on attack data from thousands of white-hat hackers. The agents run continuously against a customer's web applications, APIs, and cloud environments, discovering and exploiting weaknesses the way a real attacker would.
Every finding, the company says, ships with working proof, an assigned owner, and a remediation path, and FAZE re-tests until the exploit fails. Customers report close to zero false positives and more than 50% faster mean time to remediate versus scanners and point-in-time pentests.
By the numbers: FAZE launched with 50 enterprise customers, including several Fortune 500 companies, and roughly 20X growth in annual recurring revenue over 18 months.
Why now? The company frames a widening gap between the number of vulnerabilities enterprises face and their ability to fix them. Annual penetration tests age quickly, scanners generate thousands of unranked findings, and attackers increasingly use AI to exploit gaps within hours.
What they're saying: "FAZE's exponential growth is no surprise," said Ziv Conen, partner at New Era Capital Partners. "It is the direct result of real technological advantage: proprietary data from thousands of white-hat hackers, paired with advanced agentic capabilities across the full offensive cycle."
The signal: FAZE joins a wave of security startups applying autonomous agents to work that once relied on periodic human testing. Its bet is that continuous, AI-driven red-teaming can close remediation backlogs faster than security teams can triage them by hand.
Image credit: Idaho National Laboratory
