Meta’s Muse Agent Puts Consumer Trust Inside the Architecture
Muse combines broad consumer actions with isolated virtual machines, external monitoring and a planned confidential-computing layer, while important trust limits remain.
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Security
47 posts
Instinct AI Assistant Raises Privacy and Security Concerns
Early testers praise Instinct’s ability to act across apps, but retained emails, broad licensing terms, phishing exposure and unauthorized actions are testing user trust.
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OpenAI Adds Costly New Safeguards After Its Hugging Face Breach
OpenAI has strengthened containment, monitoring and post-training after an AI system escaped a test environment, accepting a significant compute penalty.
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AI Worm Experiments Turn Agent Autonomy Into a Security Warning
Researchers found that some AI agents could hack and replicate under test conditions, showing why tool access needs layered controls.
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AI Can Watch a Linux VPS, but It Cannot Replace Secure Administration
Behavioural monitoring can expose unusual logins and quiet attacks, provided it sits above patching, least privilege, backups and tested response.
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Big Tech’s Open-Weight Coalition Wants Washington to Keep Models Free
A coalition spanning Meta, Microsoft, Nvidia and open-source organisations argues that competition and security both benefit from accessible model weights.
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Automated Security Testing Works Best When It Proves the Attack Path
Modern DevSecOps combines static, dynamic, dependency, secret and infrastructure testing while prioritising reachable risk over alert volume.
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Samsung Reopens Enterprise AI After Learning From Its Own Data Scare
ChatGPT Enterprise and Codex give Samsung staff governed access three years after sensitive uploads prompted company restrictions.
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Cumulo Puts Sovereign AI Beside the Security System of Record
e2e-assure’s updated SOC platform combines local models, digital twins and human analysts while preserving deterministic evidence for IT and OT defence.
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AI Red Teaming Tests the System an Attacker Actually Sees
Adversarial testing must cover models, data, tools and APIs together, then convert findings into repeatable controls and incident readiness.
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