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 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.
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.
Generative AI (GenAI) is no longer a futuristic concept. It’s an integral part of modern businesses. GenAI powers everything from...
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.
Learn how rogue AI agents bypass oversight to execute unauthorized actions or exfiltrate data. Explore OWASP T13 defenses to secure multi-agent AI systems.
