Developer-first security tool blocks AI manipulation attacks in under 100 milliseconds with a single API call Our goal ...

Attacks against modern generative artificial intelligence (AI) large language models (LLMs) pose a real threat. Yet discussions around these attacks and their potential defenses are dangerously myopic ...

RoguePilot flaw let GitHub Copilot leak GITHUB_TOKEN, while new studies expose LLM side channels, ShadowLogic backdoors, and promptware risks.

The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate.

These days, defending what you don’t know is exposed could define the difference between resilience and regret.

AI systems are crossing a quiet but consequential threshold. What began as tools that summarize, recommend, or assist are now ...

As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...

"Prompt injection attacks" are the primary threat among the top ten cybersecurity risks associated with large language models (LLMs) says Chuan-Te Ho, the president of The National Institute of Cyber ...

Large language models have been pitched as the next great leap in software development, yet mounting evidence suggests their capabilities are flattening rather than accelerating. That plateau carries ...

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, ...

Opinions expressed by Digital Journal contributors are their own. As LLMs like OpenAI’s GPT-4 continue to showcase remarkable abilities in generating human-like text, recent research has shed light on ...

The GRP‑Obliteration technique reveals that even mild prompts can reshape internal safety mechanisms, raising oversight concerns as enterprises increasingly fine‑tune open‑weight models with ...