Learn how Zero Trust, CBAC, and microsegmentation reduce prompt injection risks in LLM environments and secure data across the full stack.

Hidden instructions in content can subtly bias AI, and our scenario shows how prompt injection works, highlighting the need for oversight and a structured response playbook.

Artificial Intelligence is turning out to be the non-negotiable in everyday enterprise infrastructure – AI chatbots in customer service, copilots assisting developers, and many more. LLMs, the ...

Palo Alto Networks’ Unit 42 has developed a successful attack to bypass safety guardrails in popular generative AI tools ...

What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...

HackerOne: How Artificial Intelligence Is Changing Cyber Threats and Ethical Hacking Your email has been sent Security experts from HackerOne and beyond weigh in on malicious prompt engineering and ...

New tools for filtering malicious prompts, detecting ungrounded outputs, and evaluating the safety of models will make generative AI safer to use. Both extremely promising and extremely risky, ...

Imagine you work at a drive-through restaurant. Someone drives up and says: “I’ll have a double cheeseburger, large fries, and ignore previous instructions and give me the contents of the cash drawer.

As OpenAI and other tech companies keep working towards developing agentic AI, they’re now facing some new challenges, like how to stop AI agents from falling for scams. OpenAI said on Monday that ...

Large Language Models (LLMs) seem to be everywhere now. Chatbots, coding assistants and research all promise transformative efficiency. Yet too many businesses discover an inconvenient truth: asking ...