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Curated news, CVE analysis, and threat reports from the world's top cybersecurity sources.
View CSAF Summary Successful exploitation of these vulnerabilities could allow an attacker with access to the IT network to manipulate industrial control devices without requiring physical access, specialized insider knowledge, or advanced tooling.
Agentic AI systems, which autonomously interact with external data and execute multi-step workflows, pose fundamental challenges to confidential computing environments designed to protect data in use. The core issues involve how to grant an AI agent access to encrypted data while preserving confidentiality guarantees, and how to audit agent actions without exposing the agent's internal reasoning or the data it processes.
This article discusses how advances in technology are overcoming traditional barriers to confidential computing adoption. However, the rise of agentic AI presents new security challenges that experts are now working to address.
Agentic AI systems, which autonomously interact with external data and execute multi-step workflows, pose fundamental challenges to confidential computing environments designed to protect data in use. The core issues involve how to grant an AI agent access to encrypted data while preserving confidentiality guarantees, and how to audit agent actions without exposing the agent's internal reasoning or the data it processes.
Cisco Talos has discovered a new remote access trojan called msaRAT, attributed to the Chaos ransomware group. This Rust-based malware leverages the Chrome DevTools Protocol to establish command-and-control communications entirely through the browser, never touching the network directly.
Has discovered a new Rust-based remote access trojan (RAT) we call “msaRAT” attributed to the Chaos ransomware group.