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.
Artificial Intelligence systems are increasingly being deployed in production environments. Organizations now use AI for fraud detection, healthcare analytics, recommendation...
Artificial Intelligence systems are becoming part of critical applications. AI is now used in healthcare, banking, e-governance, cybersecurity, and enterprise...
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.
Learn how to test for prompt injection vulnerabilities in LLM-powered applications using OWASP-recommended techniques. This blog covers practical testing workflows, common attack payloads, automation tools, and mitigation strategies to secure your AI models effectively.
OWASP Agentic AI Threat T15: When AI Agents Manipulate the Humans Who Trust Them
Learn how human attackers exploit delegation and trust in multi-agent AI systems. Explore OWASP T14 mitigations to stop privilege escalation and manipulation.