Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Is your team using AI tools at work? Without the right guardrails, you could be exposing your business to data breaches, compliance violations, and serious reputational damage — and most companies don't see it coming. In this video, we break down the 7 hidden risks of AI in the workplace — from data privacy breaches and AI hallucinations to Shadow AI, prompt injection attacks, and intellectual property complications. We also cover the best practices every organization needs to manage workplace AI risks before they become costly problems.