prompt injection

Here is what is officially known about CVE-2025-32711, the M365 Copilot Information Disclosure Vulnerability: Type: Information Disclosure via AI Command Injection Product: Microsoft 365 Copilot Impact: An unauthorized attacker can disclose information over a network by exploiting the way...

In today’s landscape, artificial intelligence has cemented its place at the heart of enterprise innovation, automation, and user engagement, but this rapid adoption of large language models (LLMs) introduces new and expanding threat surfaces. Among these, prompt injection attacks have emerged as...

Just as organizations worldwide are racing to implement artificial intelligence across their workflows, Microsoft has set the pace with a bold set of initiatives to secure the next generation of AI agents, using its zero trust security framework as both foundation and shield. The rapid rise of...

As large language models move from academic curiosities to essential engines behind our chats, code editors, and business workflows, the stakes for their security could not be higher. Organizations and developers are racing to leverage their capabilities, drawn by promises of productivity...

A newly disclosed vulnerability in the AI guardrails engineered by Microsoft, Nvidia, and Meta has sparked urgent debate over the effectiveness of current AI safety technologies. Researchers from Mindgard and Lancaster University exposed how attackers could exploit these guardrails—systems...

Artificial intelligence systems have become integral to the operations of technology giants like Microsoft, Nvidia, and Meta, powering everything from customer-facing chatbots to internal automation tools. These advancements, however, bring with them new risks and threats, particularly as...

The landscape of artificial intelligence (AI) security has experienced a dramatic shakeup following the recent revelation of a major vulnerability in the very systems designed to keep AI models safe from abuse. Researchers have disclosed that AI guardrails developed by Microsoft, Nvidia, and...

The landscape of artificial intelligence security, particularly regarding large language models (LLMs), is facing a seismic shift following new discoveries surrounding the vulnerability of AI guardrail systems developed by Microsoft, Nvidia, and Meta. Recent research led by cybersecurity experts...

Artificial intelligence has rapidly woven itself into the fabric of our daily lives, offering everything from personalized recommendations and virtual assistants to increasingly advanced conversational agents. Yet, with this explosive growth comes a new breed of risk—AI systems manipulated for...

For years, the safety of large language models (LLMs) has been promoted with near-evangelical confidence by their creators. Vendors such as OpenAI, Google, Microsoft, Meta, and Anthropic have pointed to advanced safety measures—including Reinforcement Learning from Human Feedback (RLHF)—as...

It's official: AI has become both the shiny new engine powering business innovation and, simultaneously, the rickety wagon wheel threatening to send your data careening into the security ditch. With nearly half of organizations already trusting artificial intelligence to make critical security...

AI security is evolving at breakneck speed, and what used to be a niche concern has rapidly become a critical enterprise issue. With the integration of artificial intelligence into nearly every facet of business operations—from administrative chatbots to mission-critical decision-making...

In recent weeks, researchers have spotlighted a new frontier in AI security that is as intriguing as it is concerning. Indirect prompt injections—attacks that manipulate the boundary between developer-defined instructions and external inputs—have been a known vulnerability for large language...