Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this video breakdown, we unpack the three pillars of a successful agentic experience: Autonomy — agents that act independently Guardrails — to keep decisions safe and data protected Integration + Context — so agents work seamlessly across tools without losing meaning At Protecto, we’re building the guardrails that keep your agents autonomous, context-aware, and enterprise-ready.

AI On The Edge – Where Intelligence Meets Risk: Part 3 Building an enterprise AI app is NOT the same as building a traditional application, and this is why so many AI projects fail. In this conversation, we break down why 95% of enterprise AI implementations fail, what teams misunderstand about AI systems, and how to actually build AI that works in real organizations.

AI agents now move data, collaborate, and make decisions at machine speed — millions of actions per second. But our entire security architecture was built for humans, not for autonomous AI. In this new Agentic World, every action is faster, every breach more invisible, and every compliance gap more dangerous. Protecto introduces Agentic Controls — intelligent, context-aware CBAC Agents that live inside AI workflows. They understand policies written in plain English, enforce zero-trust decisions before data ever leaves its boundary, and protect privacy across industries.

CISOs aren’t losing sleep over zero-days. The real threat? Their own employees. From phishing to prompt injection, discover what keeps security leaders up at night.

AI is changing everything—but with innovation comes new risks. In this episode of AI on the Edge, we dive deep into OWASP's Top 10 for Large Language Models with security leader Steve Wilson (Exabeam). Discover why every tech company is suddenly talking about LLM security and how you can stay ahead. Inside this episode: Why traditional security doesn’t work for AI Learn from Steve’s new book The Developer’s Playbook for LLM Security and get actionable tips to protect your AI systems.

AI On The Edge – Where Intelligence Meets Risk: Part 2 Join Amar Kanagaraj, Founder & CEO of Protecto, and Sabry Loganathan, Head of AI Strategy at Peloton, as they discuss how a chance project evolved into building world-class generative AI systems.

Amar (Founder & CEO of Protecto) chats with Sabari Loganathan (Head of AI Strategy, Peloton) about how a chance project led to building world-class generative AI systems. From vector search to agentic AI and RAG, discover how Sabari turned technical breakthroughs into real enterprise outcomes.

AI On The Edge: Scaling AI - Part 4 Hosted by Amar Kanagaraj, CEO of Protecto, chats with Manoj Mohan, a veteran AI leader who has built large-scale data & AI platforms for Intuit, Meta, and Apple.

AI On The Edge: Scaling AI - Part 3 Hosted by Amar Kanagaraj, CEO of Protecto, chats with Manoj Mohan, a veteran AI leader who has built large-scale data & AI platforms for Intuit, Meta, and Apple.

In many countries — especially in India and across the Middle East — strict data-sovereignty laws prevent banks and enterprises from using cloud-based AI models like Gemini, GPT, or Anthropic. Sending personal or financial data outside national borders can violate compliance rules, blocking the adoption of AI. This video shows how Protecto helped a leading bank overcome these challenges. By deploying Protecto’s context-aware protection layer inside the bank’s private cloud, the bank could safely use advanced AI models while staying fully compliant.