Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Vendor questionnaires out the door faster. Responses back sooner. No manual coordination required. In this week's edition of SecurityScorecard Demo Tuesdays, see how TITAN Assess streamlines the entire questionnaire outreach process — so your team spends less time on admin and more time acting on what vendors actually tell you.

Network security controls change constantly. As rules are altered, controls drift from baselines and risk gets buried in the rulebase. Stale firewall rules stay live, shadowed rules obscure exposure, and overly permissive any/any rules sneak in.

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.