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You Shall Not Pass into Ring-0! A User Privacy-Friendly Anti-Cheat Architecture for Personal Computers

Tirith replaces invasive kernel-level game anti-cheats with protected VMs and a dual-trusted virtualization monitor, preserving detection and near-native performance.

Researchers present Tirith, an anti-cheat architecture that runs video games in Protected Virtual Machines, sandboxing computations from untrusted root admins, and uses a virtualization monitor trusted by both players and developers to watch for malicious drivers. This removes the need for privacy-invasive ring-0 kernel anti-cheat components while matching their protection against a wide range of cheating mechanisms. To overcome VM stack limitations, the work contributes a security-focused Library OS kernel for games and an efficient graphics sharing pipeline for near-native rendering performance.

arXiv cs.CR · 1d agoResearch

A Georgia Cop Used Flock to Track 2 Other Cops: His Ex and Her Friend

A Georgia police officer used Flock license plate reader cameras to surveil his ex-partner and another officer after their affair ended.

Internal investigation records show a Georgia officer used the Flock license plate reader network to track the movements of a fellow police officer with whom he had an affair, along with a man whose vehicle frequently appeared near hers. The unauthorized personal use of police surveillance infrastructure surfaced through an internal affairs review. The case highlights oversight gaps around law enforcement access to mass surveillance data.

WIRED · Security · 20d agoPolicy & legal

“Sorry, I can’t help with that”: How your guardrails might become the attacker’s best friend

Cisco Talos's David Bianco argues AI guardrail customization requires operational sovereignty so defenders retain the advantage over attackers.

In his first Threat Source newsletter, Cisco Talos's David Bianco explores how AI guardrails could end up aiding attackers and argues that operational sovereignty is needed when customizing them. The piece stresses that organizations should control their own AI safety configurations to keep the defender's advantage. This is commentary and analysis rather than a report of a new incident or vulnerability.

Cisco Talos · 20d agoAI safety & security