Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

See how Protegrity AI Developer Edition helps protect customer PII in AI chatbot workflows. This demo shows a Guardian AI chatbot application designed for a fictional bank website. The workflow helps prevent sensitive customer data from leaking during AI-powered chat interactions by identifying and protecting PII before it is exposed. In this video, you’ll learn how developers can.

Today we're speaking with Behnaz Karimi, an independent researcher specializing in ransomware and agentic AI systems, Senior Cybersecurity Analyst at Accenture, and founder of Tremorina, about how ransomware is evolving to target AI systems, machine learning pipelines, and autonomous agents.

Building a strong vendor assessment template used to take hours. With our TITAN Agent, it takes minutes. In this installment of SecurityScorecard's TITAN demo series, see how our TITAN Agent builds customized, comprehensive assessment templates — so your team gets to evaluation faster and with more consistency across every vendor engagement.

A prompt injection attack through server logs becomes possible when hidden instructions are processed later by an AI log analysis tool. That turns normal logging into a possible data exfiltration path and gives attackers a new way to abuse LLM workflows without touching the main application logic.

AI agents don't just answer questions—they access enterprise data, call APIs, interact with MCP servers, and trigger workflows. That means sensitive information like PII, PHI, HR records, pricing data, financial information, and confidential business data can flow through AI systems. In this YouTube Short, Amar Kanagaraj explains why AI governance, data security, and data sovereignty are essential for enterprise AI deployments—and how the NetScaler × Protecto integration helps organizations secure AI workflows.