A new around of vulnerabilities in the popular AI automation platform could let attackers hijack servers and steal credentials, allowing full takeover.
If an attacker splits a malicious prompt into discrete chunks, some large language models (LLMs) will get lost in the details and miss the true intent.
In the latest edition of "Reporters' Notebook," a trio of journalists urge the cybersecurity industry to prioritize patching vulnerabilities, preparing for quantum threats, and refining AI applications,
Ransomware defense requires focusing on business resilience. This means patching issues promptly, improving user education, and deploying multifactor authentication.
To stop the ongoing attacks, the cybersecurity vendor took the drastic step of temporarily disabling FortiCloud single sign-on (SSO) authentication for all devices.
In two separate campaigns, attackers used the JScript C2 framework to target Chinese gambling websites and Asian government entities with new backdoors.
AI "model collapse," where LLMs over time train on more and more AI-generated data and become degraded as a result, can introduce inaccuracies, promulgate malicious activity, and impact PII protections.
The malware-as-a-service kit enables malicious extensions to overlay pages on real websites without changing the visible URL, signaling a fresh challenge for enterprise security.
Artistic initiatives turn cybersecurity into immersive exhibits at the Museum of Malware Art, transforming digital threats into thought-provoking experiences.
Researchers attributed the failed attempt to the infamous Russian APT Sandworm, which is notorious for wiper attacks on critical infrastructure organizations.
The North Korean threat group is using a new PowerShell backdoor to compromise development environments and target cryptocurrency holdings, according to researchers.