Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Your AI works perfectly during testing… but suddenly fails in production. Why? The problem usually isn’t the model — it’s the data. Synthetic data looks clean and structured. But real-world data is messy: typos, missing values, broken formats, and unexpected edge cases. When AI models train only on synthetic datasets, they never learn how to handle real-world complexity. In this video, we explain why synthetic data can break AI systems and how using real production data safely can make AI more reliable.

AI skills are no longer optional. The US Department of Labor recently released an AI Literacy Framework, making AI knowledge a basic workforce skill for the future. This means every worker should understand: Basic AI principles AI use cases Prompting AI correctly Evaluating AI outputs Using AI responsibly AI literacy is quickly becoming a core job skill across all industries, not just tech.

AI tools like ChatGPT, Gemini and other LLMs are powerful — but what happens when sensitive data gets sent to them? In this video, we demonstrate how Protecto AI prevents sensitive information from reaching LLMs using Masking APIs and Unmasking APIs. You’ll see a real workflow where user prompts containing credit card details and personal data are automatically masked before being processed by an AI model like Gemini 2.5 Flash.

How are governments using AI while protecting citizens’ data and privacy? In this episode of AI on the Edge, Ciara Maerowitz, Chief Privacy Officer for the City of Phoenix, explains how cities implement AI governance, manage bias, ensure transparency, and assess AI risks. Learn how responsible AI frameworks, policies, and risk management help governments safely adopt artificial intelligence.

AI Impact Summit 2026 Highlights | AI, FinTech & Data Security Insights from Delhi This video covers our 5-day experience at AI Impact Summit 2026 in New Delhi, one of India's leading technology events focused on Artificial Intelligence, FinTech, Data Security, and Compliance. During the summit, we connected with industry leaders, CISOs, FinTech professionals, and AI innovators, discussing the latest developments in data protection, AI governance, cybersecurity, and enterprise AI adoption.

Day 2 at the AI Impact Summit was all about debunking myths. One major takeaway from our conversations today: Most leaders think AI security is just about stopping 'bad prompts.' But the real danger is exposing sensitive data to the model in the first place. If you aren’t sanitizing your data before it hits the AI, you’re leaving the door wide open. We’ve been showing attendees at Bharat Mandapam how Protecto bridges the gap between basic AI security and true Data Privacy.

In this first official episode of our Event Diary series, we take you inside AI Impact Summit 2026 at Bharat Mandapam, New Delhi. We had the chance to interact with a massive range of AI leaders—from visionary startup founders and engineers to data and compliance teams at major enterprises. The biggest takeaway? Companies are looking for ways to fast-track their compliance and enable their data safely. At Protecto, that is exactly what we’re solving.

Why AI Agents are next is the biggest question in tech right now! In this breakdown, we look at how we're moving from static APIs to Agentic Interaction. While frameworks like MCP (Model Context Protocol) are gaining ground, the real challenge is creating a "Passport" system for AI agents from different companies to communicate securely. Key Insights: –Why AI Agents will replace traditional SaaS workflows.–The shift from deterministic APIs to dynamic agentic behavior.–The "AI Passport" – the missing piece for cross-company AI security.

Stop building AI agents that CISOs will never approve. If your agents are stuck in the POC (Proof of Concept) stage, it’s likely because they lack a "Passport" and a governance framework. In this clip, Arjun Subedi breaks down why "how well it works" isn't the biggest question in AI anymore—it's "how can I govern it?" Discover how mapping AGENTIC attacks to the MITRE ATT&CK framework through SafeMCP is the missing link to enterprise-level deployment.

Are your cybersecurity skills ready for the AI era? In this clip, we reveal which traditional security frameworks still work and the one new mental shift you need to survive. It’s not just about code anymore—it’s about "Socio-Technical" thinking. Raji (Microsoft AI Security) breaks down exactly how to future-proof your career.