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Showing 20 most recent headlines of 32 Filtered view

Cybersecurity researchers have flagged a large-scale operation that impersonates open-source and freeware projects to funnel unsuspecting users through a Traffic Distribution System (TDS) and deliver malware families like Remus Stealer, AnimateClipper, and the SessionGate framework

Cybersecurity researchers have flagged a new evolution of the GlassWorm campaign that delivers a multi-stage framework capable of comprehensive data theft and installing a remote access trojan (RAT), which deploys an information-stealing Google Chrome extension masquerading as an offline version of Google Docs

Bank Info Security 9 months, 3 weeks ago

DeepMind Warns of AIs That May Resist Shutdowns

'More Research' Needed, Says GoogleGoogle DeepMind expanded its risk framework to cover scenarios where artificial intelligence models might manipulate people or resist shutdown, marking the company's most explicit warning yet about potential misalignment. DeepMind frames many of these scenarios as a malfunction.

Bank Info Security 10 months ago

Let AI Do the Shopping, Says Google

AP2 Protocol Introduces 'Mandates' to Keep Agent-Led Spending AccountableArtificial intelligence agents can now shop so consumers don't have to - but the non-human shoppers will need a signed permission slip first. Google on Wednesday announced the launch of an "agent payments protocol," which creates a framework for AI-driven purchases.

Bank Info Security 1 year, 2 months ago

DeepMind's CaMeL Aims to Fight Prompt Injection Attacks

Security First Framework Approach Focuses on Isolating Untrusted InputsChatbots' popularity has been tempered from the start by the prospect of prompt injection attacks. Google DeepMind's CaMeL aims to address the issue by reframing the problem, and applying proven security engineering patterns to isolate and track untrusted data.

Project Zero Framework Aims to Boost AI Bug Detection SkillsGoogle's team of zero-day hunters say artificial intelligence can lead to improved automated threat identification and analysis. Researchers say that a framework allows LLMs to mimic the iterative, hypothesis-driven approach of human security experts.

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