Who Is Auditing the AI? A Practical Guide to AI Governance, ISO 42001, and Agentic AI Security
Discover why AI auditing is becoming critical, how ISO 42001 is changing AI governance, and what organizations must do to secure Agentic AI systems
Discover why AI auditing is becoming critical, how ISO 42001 is changing AI governance, and what organizations must do to secure Agentic AI systems
Prompt Injection is one of the most critical security risks in modern AI systems. This blog explains how Garak, an open-source AI vulnerability scanning framework, can be used to test LLM applications against Prompt Injection attacks, jailbreaks, prompt leakage, and adversarial manipulation through practical AI red teaming techniques.
AI systems introduce risks that traditional security testing cannot fully address. Unlike conventional software, AI models can be manipulated through prompts, leak sensitive data, generate unsafe outputs, or behave unpredictably. This blog explains why AI security testing requires specialized approaches covering applications, models, infrastructure, data, and overall AI trustworthiness.
This guide explains the ISO 42001 AI Management System using a clear, clause-by-clause approach. It covers implementation, risk management, lifecycle control, and audit readiness to help organizations build trustworthy and compliant AI systems.
Discover how attackers and agents exploit human decision fatigue in AI systems. Learn to defend against OWASP T10: Overwhelming Human-in-the-Loop with adaptive trust and smarter workflows.