Security Bulletin

When prompts were presented in poetic rather than prose form, attack success rates increased from 8% to 43%, on average — a fivefold increase.

Researchers utilized prompts and large language models to develop an open-source AI framework capable of generating both vulnerability exploits and patches.

North Korean attackers have delivered more than 197 malicious packages with 31K-plus downloads since Oct. 10, as part of ongoing state-sponsored activity to compromise software developers.

The Russian-speaking group is targeting government and diplomatic entities in CIS member states and Central Asia in its latest cyber-espionage campaign.

The Inc ransomware gang took responsibility for the attack earlier this month and claimed it stole sensitive subscriber data.

Multiple European law enforcement agencies recently disrupted Cryptomixer, a service allegedly used by cybercriminals to launder ill-gotten gains from ransomware and other cyber activities.

The latest attack from the self-replicating, npm-package poisoning worm can also steal credentials and secrets from AWS, Google Cloud Platform, and Azure.

Advanced fraud attacks surged 180% in 2025 as cyber scammers used generative AI to churn out flawless IDs, deepfakes, and autonomous bots at levels never before seen.

As in the wider world, AI is not quite living up to the hype in the cyber underground. But it's definitely helping low-level cybercriminals do competent work.

It's the law of unintended consequences: equipping browsers with agentic AI opens the door to an exponential volume of prompt injections.

Cyberattackers are integrating large language models (LLMs) into the malware, running prompts at runtime to evade detection and augment their code on demand.

More than half of organizations surveyed aren't sure they can secure non-human identities (NHIs), underscoring the lag between the rollout of these identities and the tools to protect them.