Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this video, we take you under the hood of Protecto’s technology stack and show how it powers context-aware security for AI—while hiding the complexity behind simple APIs. At the core are two intelligence layers: You’ll also see how Protecto’s DeepSight engine, entropy-based tokenization, secure vault, and inference-level APIs deliver enterprise-scale security, compliance, and auditability. Protecto enables enterprises to safely unlock their data for GenAI, copilots, and Agentic workflows — without leaks, oversharing, or loss of AI capability.

Protecto replaces the patchwork of DLPs and DSPMs with AI-native controls, so you can safely unlock enterprise data for AI. Prompts, models, and context power Agentic AI. But context is also the most volatile and exposed layer - where 90% of enterprise AI risks originate. Intellectual property loss, unauthorized access, privacy violations, compliance failures - all start in the context. That’s why Protecto brings Zero Trust controls to data in AI.

Traditional role-based access control (RBAC) was built for structured systems - not for the messy, unstructured data that powers today’s AI workflows. In this video, we explore real-world healthcare scenarios where RBAC breaks down like mental health notes, lab results, and substance use histories buried in clinical documents. You’ll see how Protecto’s Context-Based Access Control (CBAC) solves this by understanding the user, prompt, and context - and enforcing policies in real time, without breaking AI functionality.

AI consumes massive volumes of unstructured data — emails, documents, reports, and prompts. Hidden within them are sensitive details: customer PII, salary data, intellectual property, and confidential financial information. Without the right safeguards, one innocent prompt can lead to costly data leaks, compliance violations, and privacy risks. Traditional security tools like RBAC, DLPs, and prompt filters weren’t designed for AI. They fail because AI doesn’t see folders — it consumes raw context. That’s where Protecto’s Context-Based Access Control (CBAC) comes in.

Scaling AI isn’t about tools. It’s about trust and alignment. Anirban Nandi reveals why federated teams and hybrid talent matter.

AI isn't analytics. It's automation. Anirban Nandi explains why starting with business value is the key to scaling AI.

Want enterprise-wide AI adoption? Start with a unified data foundation. Anirban Nandi of Rakuten India breaks it down in 60 seconds.

In this video, we introduce the visionary founders behind Protecto — a company on a mission to make AI safe and compliant for the enterprise era. Amar Kanagaraj, Founder & CEO A second-time entrepreneur, Amar previously led a startup to a successful exit. He began his career as a developer at Sun Microsystems, then went on to lead product management for Microsoft Search & AI. With an MBA from Carnegie Mellon and an MS in Computer Science from LSU, Amar brings a powerful blend of business and technical insight to Protecto.

Watch this exclusive LinkedIn Live conversation at the frontier of privacy, security, and GenAI. Learn how to successfully scale AI initiatives in your enterprise with proven strategies that prioritize business value over technology complexity, featuring insights from Rakuten India's VP of AI & Data. Guest: Anirban Nandi – Vice President AI & Data @ Rakuten India Host: Amar Kanagaraj – Founder & CEO @ Protecto.

Discover how Protecto secures data within Ivanti ITSM APIs to prevent data leaks, privacy violations, and compliance risks. In this video, we’ll show how Protecto acts as a data guardrail, ensuring that sensitive information like PII and PHI is identified, masked, and handled securely before it reaches AI agents. Participants: Amar Kanagaraj, Founder & CEO of Protecto Kalyan Vishnubhotla, Director of Strategic Partnerships, Ivanti.