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Operant AI Launches AI Gatekeeper™ to secure Agentic AI and boost Runtime Protection for Indian Businesses

  •      According to Deloitte’s State of GenAI report, over 80% of Indian organizations are exploring autonomous agents
  •      Indian businesses’ significant reliance on third-party vendors for AI deployment further complicates data governance and security.
  •      AI Gatekeeper™ directly solves for these complicated issues by blocking  rogue AI agents, LLM poisoning, and data leakage wherever AI apps are deployed, securing live AI applications end-to-end beyond Kubernetes and the Edge

Bengaluru - April 17, 2025 - Silicon Valley headquartered Operant AI,  has  launched AI Gatekeeper™, a real-time security application for live AI applications, agents and Agentic AI workflows—across Kubernetes, private, hybrid, and edge environments.

As organizations rapidly adopt autonomous AI agents and complex multi-agent workflows, especially in high-growth markets like India, security challenges have escalated. According to Deloitte’s State of GenAI report, over 80% of Indian organizations are exploring autonomous agents, with 50% focused on multi-agent setups that require minimal human oversight.

AI Gatekeeper™ goes beyond Operant’s existing 3D Defense capabilities, offering industry-first protections against rogue agents—such as trust scoring, agentic access controls, and threat blocking for Model Context Protocols (MCPs) and Non-Human Identities (NHIs).

Dependence on third-party vendors increases risks

Operant’s recent engagements with Indian enterprises and cybersecurity leaders highlight a strong interest in deploying AI agents but also significant reliance on third-party vendors for AI deployment, complicating data governance and security. Key concerns include data leakage, model poisoning, and rogue agent behavior. AI Gatekeeper directly addresses these issues, empowering enterprises to secure their agentic AI deployments at runtime across all platforms.

“The AI that we are now securing is a completely new beast compared to even two years ago,” said Vrajesh Bhavsar, Operant AI’s CEO and co-founder. He added that  today RAG applications to AI Agents to AI Inference systems operate at a completely new scale, because of which AI can’t be secured in isolation. AI Gatekeeper can bring Operant’s unique defensive capabilities to everywhere customers are deploying AI, alongside critical new capabilities for protecting sensitive data and the rest of the application environment from the new attack surface that is being fueled by rapid Agentic AI adoption.”

Gatekeeper creates space for faster AI innovation

“We are seeing three trends happening right now: First, incredibly fast deployment of AI models and AI Agents for novel use cases; second, adoption of new platforms           beyond the traditional cloud providers; and lastly, the requirements and responsibilities for security, infrastructure, data infosec and AI converging,” said Raj Yavatkar, CTO of Juniper Networks. Operant has built a solution that helps teams protect their most business-critical transformations, while AI Gatekeeper makes it possible for AI-native teams to innovate securely at a completely new pace

AI Applications and agents are not only being built on cloud hyperscalers like Amazon EKS, Fargate, Bedrock, and similar services from Azure and Google Cloud, they are now expanding onto non-traditional platforms like Databricks, Snowflake, and Salesforce. The AI ecosystem – and the threats that come with it – are shifting closer to where the data that fuels AI actually lives.

As a result, security and threat exposure are expanding while enterprises continue to add Agentic AI workflows that need to be controlled and secured by default to prevent new catastrophic failure modes. The adoption of new frameworks like MCP exposes enterprises to additional risks of breaches, like the tool poisoning vulnerability just reported last week, that require a fundamentally different security approach from traditional methods.

“Securing AI Agents is a critical priority for AI-native companies because you can’t hand off that level of autonomy at scale to these systems without appropriate controls in place,” said Martin Choluj, CISO of Clickhouse.

Operant’s AI Gatekeeper launch comes on the heels of Operant being named as a representative vendor in Gartner’s Market Guide for AI Trust, Risk, and Security Management (AI TRiSM), and mentioned in Gartner’s recent research note, “How to Secure Custom-Built AI Agents.”

Operant’s new AI Gatekeeper™ capabilities include:

  •      Runtime Defense for AI across Public, Private, and Hybrid Clouds
    •      Moving beyond Kubernetes, Operant’s 3D Runtime Protection is now available across public, private and hybrid cloud platforms
    •      Live comprehensive catalogs of all AI workloads, AI agents, tools, models, and all AI platforms that automatically update with the use of AI in an organization (includes providers such as OpenAI, Deepseek, Cohere, Anthropic, Hugging Face and more)
    •      Additional support for large data platforms, LLM and AI Agent platforms
    •      Defense analytics on all deployed AI defenses, providing unprecedented transparency into the threats that are being blocked at runtime
  •      Cross-Platform Threat Modeling
    •      Cohesive AI Security Graphs mapping and flagging highest risk data flows between AI workloads, Agents, and AI APIs across all platforms on which they operate
    •      Out of the box mappings to OWASP Top 10 threat vectors for AI/LLMs and AI Agents, including sensitive data leakage, API key and secrets leakage, prompt injection, and data poisoning risks – with deep insights into actual threats and the workloads/APIs that are affected
  •     Advanced Threat Detection for AI Agents
    •      Supply chain risks for AI agents, with mapping of trust scores and boundaries
    •      Unauthenticated and unauthorized AI agent detection and defense with blocking capabilities
    •      Least privilege runtime execution and least permissioned trust boundaries for AI agents
  •      Protection for MCP and AI NHIs
    •      Beyond AI API security, AI Gatekeeper also includes supports for Model Context Protocol
    •      Detection and defense for both runtime and API access layers of agent tools built with MCP
    •      Expanded coverage for identity and access controls with support for AI NHIs

Operant’s AI Gatekeeper™ is now available for all qualified customers. For more information, contact hello@operant.ai or please visit: [BLOG ANNOUNCEMENT LINK]

Product Screenshot:


 

About Operant AI

Operant AI, the world’s only Runtime AI Application Defense Platform, actively protects every layer of live cloud and AI applications from infra to APIs. Unlike most cybersecurity tooling that is limited to single-layer visibility and lacks the ability to actually block attacks, Operant’s 3D Runtime Defense Platform discovers, detects, and defends >80% of the OWASP Top 10 most critical attacks across APIs, Cloud and LLMs. Within minutes of Operant’s single-step deployment, security and AI engineering teams gain a completely new level of active protection for their AI and Cloud applications, workloads, models, APIs, and Agents, bringing frictionless real-time security to dev, sec, and ops so that companies can deploy products and AI faster without security holding them back.

Operant AI is a Series A company funded by Silicon Valley Venture Capital firm Felicis and Washington DC venture capital firm SineWave. It is headquartered in San Francisco, California, and was founded by Vrajesh Bhavsar, Dr. Priyanka Tembey, and Ashley Roof, industry experts from Apple, VMWare and Google (respectively). Operant AI was recently named as a representative vendor in Gartner’s Market Guide for AI Trust, Risk, and Security Management (AI TRiSM).