Operant AI Announces India Launch Of Real-Time Protection For AI Systems That Detects Threats And Protects Too

As artificial intelligence adoption surges across key industries in India—including fintech, healthcare, and enterprise software—the need for robust security measures has become a priority. A recent Deloitte study found that 92% of Indian executives identify cybersecurity threats, including hacking and AI-specific vulnerabilities, as a key concern, while 91% worry about privacy risks tied to sensitive data in AI systems.

To address these concerns and bring a layer of security to India’s AI sector and the industries that engage with it, Silicon Valley-based Operant AI, a runtime AI application defence platform, is launching in India.

Operant’s cybersecurity technology will offer 3D runtime defence for cloud and AI, detecting and blocking attacks facing modern AI systems, including prompt injection, rogue agents, data poisoning, and data exfiltration. 

In the age of AI, traditional security tools, such as static code scanning and firewalls, are insufficient against AI-powered threats, where malicious prompts, data poisoning, and unauthorised API access can expose businesses to large-scale breaches. Therefore, new security approaches that block attacks in real-time are required to protect both AI systems and the cloud environments that are connected to them. 

Operant’s real-time attack detection and prevention capabilities address this gap, ensuring AI-driven enterprises remain secure without slowing down innovation.

Commenting on the need for such a solution, Operant's CEO and co-founder Vrajesh Bhavsar said, “Today, as AI adoption accelerates, ensuring critical security is more urgent than ever—not just to protect businesses, but also to safeguard their customers and end users from cyber threats and data breaches. At Operant, we’ve built a solution that does more than detect threats—it actively protects sensitive data such as citizenship IDs, bank account numbers, and API keys in real time.

With AI-driven applications growing rapidly, privacy and security concerns have become key obstacles to deploying AI models at scale. Several of the world’s largest payment processing platforms are working on AI-powered fraud detection, yet privacy concerns about how AI data cycles with third parties—such as AI APIs and containerised models—have slowed progress.

Operant’s in-line auto-redaction capabilities solve this problem by automatically redacting private data before it leaves a company’s environment. This ensures that companies operating in privacy-conscious industries, such as BFSI and fintech, can leverage AI without compromising data security or regulatory compliance.

Operant’s solution can prioritise, detect and block modern attacks at runtime in the live application environment, securing cloud stacks that have connection to AI, whether that’s AI APIs, containerised models, or third-party containers using AI for tasks like data analysis.