Operant AI Raises $10M Series A to Redefine Cloud-Native Security in the Age of AI
Operant AI provides Runtime Application Protection.
Operant AI has secured a $10 million Series A funding round, led by SineWave Ventures and Felicis, with participation from Alumni Ventures, Massive, Calm Ventures, Gaingels, and several industry-expert angels, bringing its total funding to $13.5 million. The funding marks a significant milestone for Operant, as the company aims to redefine the security landscape for cloud-native environments, particularly in the age of AI. With Patricia Muoio, a former NSA/DoD leader, and Nancy Wang, former General Manager at AWS, joining the board, Operant is poised to expand its reach and provide enterprises with cutting-edge runtime protection technology. The company's platform focuses on real-time defense, offering multi-dimensional security capabilities that protect every layer of cloud-native applications, including AI and API integrations, from evolving cyber threats.
Founded in 2021 by and Vrajesh Bhavsar, Priyanka Tembey, Ashley Roof, Operant AI addresses the growing complexity and urgency of securing cloud-native environments. With the rise of AI, the demand for comprehensive and proactive security solutions has never been higher. Operant’s Adaptive Internal Firewalls offer real-time protection, including live data privacy controls like auto-redacting PII, making it a powerful tool for enterprises facing threats such as prompt injection, data poisoning, and data exfiltration. By focusing on simplicity and real-world use cases, Operant aims to ease the burden on first-line cyber defenders and enable security teams to prioritize runtime protection over static tools that often fall short against new attack vectors. As the company continues to innovate, Operant is committed to reshaping the security and defense playbook, turning the complex landscape of cloud-native security into a manageable and efficient process for businesses worldwide.
Read more from Operant AI on their Series A announcement.