Operant AI provides 3D runtime defense for cloud applications, APIs, and AI workloads. The platform offers real-time discovery, detection, and defense across the entire application stack, including LLM and GenAI threat mitigation. This comprehensive security approach enables organizations to scale AI applications faster while maintaining data privacy and governance.
Funding
$13.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Cloud-native applications face increasing threats from vulnerabilities like prompt injection, data exfiltration, and lateral attacks within Kubernetes environments. Traditional security measures often require code changes or instrumentation, hindering agility and slowing down development cycles. The complexity of modern cloud infrastructure, including APIs and microservices, exacerbates these challenges, demanding real-time protection against evolving attack vectors.
Solution
Operant provides a runtime protection platform that secures cloud-native applications and AI stacks by enforcing security policies in real-time across APIs, microservices, and data stores. The platform discovers, detects, and defends against threats like prompt injection, data exfiltration, and unauthorized access without requiring code changes or instrumentation. Operant's adaptive internal firewalls actively shield internal, legacy, and third-party APIs, including AI APIs, beyond the capabilities of traditional Web Application Firewalls (WAFs). By providing in-line defense of data-in-use, Operant enables organizations to scale their AI applications securely and efficiently while maintaining data privacy and governance through automated redaction of sensitive data. The platform offers a single-step deployment, providing full transparency and control of application internals, and dynamically updates in real-time to adapt to evolving systems.
Target Audience
Operant's primary customers are security, platform, and development teams responsible for securing cloud-native applications, AI applications, APIs, and Kubernetes environments.
Features
- Real-time, in-line defense of data-in-use across every interaction from infrastructure to APIs
- Automated redaction of sensitive data for Kubernetes-native privacy controls
- Adaptive internal firewalls that eliminate manual work and reduce security costs
- Discovery, detection, and defense for all 3rd party API endpoints and internal connections
- Protection against OWASP Top 10 API attacks without VPC mirroring
- Service-to-service and API-based segmentation to stop lateral attacks in Kubernetes
- Runtime application protection that actively discovers the entire live application
- Single-step deployment with zero instrumentation and zero code changes