Antivirus Software Outage: Is Your Defense Ready?

Your antivirus software is the trusted gatekeeper of your digital world, silently working in the background to block threats. But what happens when that gatekeeper suddenly walks off the job? A widespread antivirus software outage recently showed us the answer, grinding critical industries to a...

You can poison AI with just 250 dodgy documents

Researchers have shown how you can corrupt an AI and make it talk gibberish by tampering with just 250 documents. The attack, which involves poisoning the data that an AI trains on, is the latest in a long line of research that has uncovered vulnerabilities in AI models. Anthropic which produces...

PoTS: Proof-Of-Training-Steps for Backdoor Detection in Large Language Models

As Large Language Models LLMs gain traction across critical domains, ensuring secure and trustworthy training processes has become a major concern. Backdoor attacks, where malicious actors inject hidden triggers into training data, are particularly insidious and difficult to detect. Existing...

Building a lasting security culture at Microsoft

At Microsoft, building a lasting security culture is more than a strategic priority—it is a call to action. Security begins and ends with people, which is why every employee plays a critical role in protecting both Microsoft and our customers. When secure practices are woven into how we think,...

Exploiting Web Search Tools of AI Agents for Data Exfiltration

Large language models LLMs are now routinely used to autonomously execute complex tasks, from natural language processing to dynamic workflows like web searches. The usage of tool-calling and Retrieval Augmented Generation RAG allows LLMs to process and retrieve sensitive corporate data, amplifyi...

Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language Models

Large language models LLMs remain vulnerable to multi-turn jailbreaking attacks that exploit conversational context to bypass safety constraints gradually. These attacks target different harm categories like malware generation, harassment, or fraud through distinct conversational approaches...

INE Security Releases Industry Benchmark Report: “Wired Together: The Case for Cross-Training in Networking and Cybersecurity”

Raleigh, United States, 7th October 2025, CyberNewsWire...

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Towards Reliable and Practical LLM Security Evaluations Via Bayesian Modelling

Before adopting a new large language model LLM architecture, it is critical to understand vulnerabilities accurately. Existing evaluations can be difficult to trust, often drawing conclusions from LLMs that are not meaningfully comparable, relying on heuristic inputs or employing metrics that fai...