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§ Private Profile · San Francisco, CA, USA
Operant is a technology company.
Operant provides 3D runtime protection for AI applications, securing APIs, cloud applications, and AI models against modern cyber threats.
Operant has raised $13.0M across 2 funding rounds.
Operant has raised $13.0M in total across 2 funding rounds.
Operant has raised $13.0M in total across 2 funding rounds.
Operant's investors include Felicis Ventures, SineWave Ventures, Alumni Ventures, Beat Ventures, Jenny Fielding, Scott Hartley, Ben Porterfield, Gokul Rajaram.
Operant has raised $13.0M across 2 funding rounds. Most recently, it raised $10.0M Series A in September 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Sep 1, 2024 | $10M Series A | Felicis Ventures, SineWave Ventures | Alumni Ventures, Beat Ventures, Jenny Fielding, Scott Hartley, BEN Porterfield, Gokul Rajaram | Announced |
| Apr 1, 2023 | $3M Seed | — | Felicis Ventures, BEN Porterfield | Announced |
Operant AI is a cybersecurity startup that builds a 3D Runtime Defense Platform to protect AI applications, cloud workloads, APIs, Kubernetes environments, and emerging threats like model theft and prompt injection.[1][2][3][5] It serves security teams, AI engineers, and platform operators in sectors such as technology, finance, and cloud computing by solving the problem of runtime vulnerabilities in live "cloud within the cloud" environments—where traditional tools fail to provide real-time discovery, detection, and defense across APIs, services, identities, LLMs, agents, and MCP (model compute platforms).[1][3][4][5] The platform deploys in minutes via a single-step Helm install, enabling frictionless security that accelerates AI and cloud deployments without compromising speed or safety, and has earned recognition in Gartner's 2025 AI TRiSM and API Threat Protection Market Guides.[2]
Founded in 2018 and headquartered in San Francisco, Operant focuses on multidimensional protection that blocks 80% of critical runtime attacks like data exfiltration and supply chain exploits, with a revenue under $5 million and 11-50 employees.[1][2][4]
Operant AI was founded in 2018 in San Francisco, California, amid rising demands for securing dynamic cloud and AI infrastructures.[1][3][4] Key leaders include Vrajesh Shah, CTO with over 20 years in hardware and software, including core iOS/macOS technologies like Dynamic Tracing and Secure Enclave at Apple, plus building Arm's ML/AI unit; he holds eight patents in distributed systems, data, and security.[3] Ashley (last name not specified), a sales and marketing leader and likely CMO, brings 20 years of experience from Google and startups like Transposit, with a Stanford BA.[3]
The idea emerged from founders' expertise in securing complex systems, evolving into a platform addressing gaps in AppSec, API, and AI protection as AI adoption exploded post-2018.[3][5] Early traction built on patented innovations in computer security and network management, positioning Operant as a leader in runtime defense.[1]
Operant stands out in cybersecurity through these key strengths:
Operant rides the AI security wave, securing the explosion of GenAI, LLMs, agents, and MCP amid surging cloud-native attacks—critical as enterprises deploy AI at scale but face supply chain risks, prompt injections, and runtime exploits.[2][3][5] Timing is ideal in 2025, with Gartner's AI TRiSM emphasis highlighting needs for tools like Operant's that protect live stacks from infra to APIs, where static scanners fall short.[2]
Market forces favor it: Multi-cloud/hybrid growth, Kubernetes dominance, and OWASP API threats create demand for lightweight, active defense over heavy mirroring.[1][5] Operant influences the ecosystem by enabling safer AI innovation—accelerating deployments for startups and enterprises—while its patents and awards set standards for runtime protection in an era of "AI everywhere."[1][2]
Operant is poised for rapid growth as AI threats evolve, with its 3D platform expanding to more MCP tools, agent ecosystems, and zero-trust integrations. Trends like multimodal AI, edge computing, and regulatory mandates (e.g., AI governance) will amplify demand, potentially driving partnerships with hyperscalers and 10x scaling via enterprise wins.[2][5] Its influence could grow as the go-to for "frictionless AI security," evolving from niche runtime defender to ecosystem standard—securing the modern world as AI reshapes it, true to its mission.[3]