Cybersecurity Startup Brava Security Launches with $15 Million Seed Round
Cybersecurity startup Brava Security emerged from stealth with a $15 million seed round led by F2 Venture Capital and Pitango. The platform trains AI agents and corporate security systems to detect overlooked attacks by preemptively generating attack telemetry.
Cybersecurity startup Brava Security has emerged from stealth with a $15 million seed funding round led by F2 Venture Capital and Pitango. The round also saw participation from private investors, including senior executives from Anthropic, Microsoft, and Check Point.
Brava trains security systems and AI security agents to recognize cyberattacks within organizations. The platform developed by the company identifies which attacks corporate security systems might miss, automatically fixes discovered vulnerabilities, and assists security teams in incident investigation. The company's client roster includes Fortune 100 enterprises in retail, energy, and hospitality, as well as major Canadian healthcare provider WELL Health and Cushman & Wakefield.
Modern corporate security systems can function entirely normally while still failing to detect an intrusion. Necessary telemetry—the logging of activity across corporate systems—may not be collected, might fail to reach the centralized SIEM system, or detection rules may simply fail to trigger. This issue is intensifying as organizations delegate incident investigation to AI agents. Such an agent can make thousands of sound decisions regarding visible threats while remaining completely blind to attacks overlooked by the underlying defenses.
Innovative Telemetry Generation
Brava's technology reverses this operational sequence. Instead of hunting for traces of known attacks, the platform precisely generates the exact telemetry an attack would leave in a specific corporate environment without actually executing the attack itself, even for novel threats that no one has yet attempted to identify. This establishes what security defenses are supposed to spot, independently of what has already been predefined.
The platform verifies whether security systems issue alerts, and when they miss an incident, it rewrites detection rules, fixes telemetry collection and routing gaps to the SIEM, and ensures the remediation functions properly.
Seamless Integration and Leadership
Operating alongside existing corporate security architecture without requiring replacements, the platform integrates with Splunk, Google SecOps, CrowdStrike, and over 70 additional data sources and destinations. Initial findings are generated within 10 to 15 minutes of deployment.
Idan Daher, co-founder and CEO of Brava, noted:
«Organizations are rushing to let AI manage their security operations centers, but AI operating on untested evidence can reach erroneous conclusions and act upon them at machine speed. If systems miss an attack, the AI will not know it needs to investigate. We inspect what they miss and repair the gaps.»
Itay Gabay, co-founder and CTO, added:
«When you know what data to look for, writing detection rules is the easy part. The real challenge is knowing in advance and with precision what telemetry an attack will produce in a specific organization's systems. Our models generate this telemetry before an attack occurs and test whether defenses will identify it.»
Founded by Idan Daher and Itay Gabay, Brava employs roughly 20 people, including AI and cybersecurity researchers, maintaining an R&D center in Israel and a growing sales and marketing team in the United States. The fresh capital will be used to accelerate platform development, drive market penetration across North America, and prepare for expansion into financial services and government sectors.
