Operant AI Announces 3D Runtime Defense Suite to Secure Live AI Workloads
Automated in-line redaction and real-time data protection shields sensitive information across AI and cloud environments
Operant AI, the world’s only Runtime Application Defense Platform, today announced its 3D Runtime Defense Suite, bringing together powerful Discovery, Detection, and Defense capabilities in real-time. The platform protects every layer of live cloud applications, including AI models and APIs in their native environments.
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As organizations increasingly adopt AI capabilities, the most common and dangerous attacks often go undetected by static code scanning or traditional security methods. Large Language Models (LLMs) are inherently unpredictable, necessitating real-time defense against unknown threats. The only effective way to stop common AI attacks, such as prompt injection and zero-day vulnerabilities, is through active runtime detection and defense. However, many existing runtime approaches focus primarily on alerting rather than taking action. This results in an overwhelming amount of data for teams to analyze, making it difficult to understand the attack surface while failing to block actual attacks.
Because AI applications don’t operate in isolation, they need to be secured in the full context of the modern cloud application stack. That’s why Operant’s new 3D Runtime Defense Suite is designed to enhance its existing runtime security platform, which already blocks over >80% of OWASP Top Ten threats across APIs, Kubernetes, and LLMs.
Operant’s new 3D Defense Suite capabilities include:
- Enhanced Discovery
- Instant live blueprints of AI workloads, models and AI APIs
- Continuous identification of ghost APIs and shadow AI data flows
- Comprehensive tracking of data-in-use patterns from third-party APIs to data stores
- Complete transparency of AI supply chains, including all prominent AI platforms like OpenAI, Gemini, Cohere, Anthropic, etc.
- Runtime Threat Detection
- Runtime detection of OWASP top ten LLM threats including prompt injection, sensitive data exfiltration, model theft, and data poisoning
- Real-time detection of sensitive data leakage across ingress and egress for PII, secrets, API keys, and more
- Active Defense
- Automated in-line blocking and redaction of sensitive data flows
- Intelligent quarantine for suspicious third-party containers and AI models
- Enforce advance rate limiting and token usage for sensitive APIs, including AI endpoints
“We’re particularly proud of our new defensive capabilities around auto-redacting sensitive data,” said Operant’s CEO and co-founder, Vrajesh Bhavsar. “We not only detect private and sensitive data, like SSNs and API keys, in-line as they move from models to AI APIs, we enable teams to auto-redact that private data before it leaves their environment, keeping data privacy under control while enabling the models and applications to keep working in a secure-by-default mode.”
Operant solves a fundamental problem that many companies developing AI have been facing with increasing urgency over the last year, which is how to secure AI environments while achieving aggressive development timelines. Operant empowers faster, more secure development, and its single-step installation eliminates the lengthy and expensive engineering projects that teams often associate with implementing defensive capabilities of this scale.
“Much of today’s AI is deployed on Kubernetes, and our industry keeps learning secure-by-design applications are more able to protect data from the outset and prevent future heartache,” said Sarah Novotny, an advisor to Operant and an AI industry leader on the board of Coalition for Secure AI (CoSAI). “Operant’s in-line auto-redaction enables teams to develop AI enhanced products faster delivering Kubernetes-native privacy controls that span all the way from infra to AI APIs, so that security, platform, and developers have what they need to build today’s leading AI tech.”
Operant has just joined CoSAI and will continue to expand their mission of securing the modern world by bringing full defensive capabilities to the entire cloud-native and AI application environment from Infra to Models to APIs and beyond.
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