Anthropic Commits $100bn to AWS Infrastructure as Claude Demand Strains Capacity
Anthropic secures up to five gigawatts of AWS capacity while Amazon adds billions in funding as both companies expand infrastructure for Claude workloads.
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IBM Unveils Bob, an AI Development Platform Built for Secure Enterprise Software Delivery
Bob platform uses multiple AI models to automate coding, testing and modernisation while addressing enterprise security risks.
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OpenAI Gains Multi-Cloud Flexibility as Microsoft Revises Licensing and Revenue Terms
The revised agreement gives OpenAI broader cloud distribution rights while Microsoft retains IP access and long-term financial exposure.
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Deepfake Fraud Has Industrialized — And Financial Services Aren’t Ready
A panel of practitioners from Western Union, RBC Bank, and DuckDuckGoose AI have warned that deepfake-driven fraud in financial services has moved well beyond isolated incidents and is approaching industrial scale, while most organisations remain unprepared. Speaking on AI-360 Online, Nikita Kuzmin, Vulnavia McDuffey, and Parya Lotfi examined the threat
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Wiz Expands AI Security Platform Across Agent Frameworks, Coding Tools, and Cloud Edge
Security updates include Red Agent, AI-BOM, and deeper integrations with Databricks, Salesforce, Cloudflare, and Google Cloud.
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OpenAI Adds Reasoning Capabilities to Image Generation with ChatGPT Images 2.0
ChatGPT Images 2.0 introduces web-enabled image generation, multi-output workflows, and improved design precision for enterprise teams.
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NVIDIA and Google Cloud Extend Full-Stack Platform for Agentic AI Deployment
Infrastructure adds confidential computing, distributed Gemini, and AI factory scaling across NVIDIA and Google Cloud platforms.
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Featured posts
Claude Mythos: A double-edged sword for cybersecurity
While it promises rapid vulnerability detection, the emergence of Anthropic’s latest AI raises questions about security risks, defensive preparations, and the future of knowledge work.
AI Security Risks Escalate as Enterprises Lose Usage Visibility
Cycode’s Top AI Security Vulnerabilities to Watch out for in 2026 report outlines rising risks across prompt injection, data exposure, and AI supply chains.
“You Can’t Trust Anything”: How Deepfakes Are Breaking Enterprise Verification Models
Security models are no longer enough as multi-modal attacks overwhelm traditional controls, forcing a rethink of enterprise trust systems.
MCP Dangers: Hidden Security Risks in Deploying AI Agents
MCP is rapidly transforming how AI agents interact with enterprise systems, opening up a new class of supply chain, identity, and governance risks that security teams can’t ignore.
The $200 Billion Question: Can OpenAI’s Spending Spree Last?
Hefty cash burn threatens OpenAI’s longevity in the face of self-funded competitor.
Bio and Cyber Are the Immediate Threats: Demis Hassabis Sounds the Alarm on AI Risk
Google DeepMind CEO warns that defensive systems must outpace AI-powered attack vectors as AGI approaches.
Who Is Liable When AI Fails? The Insurance Industry Weighs In
From the EU AI Act to cyber policy wording, panelists examined how emerging regulation and insurance structures intersect with enterprise AI deployment.
![Emotional Perception AI Limited v. Comptroller General [2026]](https://images.unsplash.com/photo-1593115057322-e94b77572f20?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=M3wxMTc3M3wwfDF8c2VhcmNofDJ8fGdhdmVsfGVufDB8fHx8MTc3MDgzNDQzN3ww&ixlib=rb-4.1.0&q=80&w=1200)
Emotional Perception AI Ruling: UKSC Clarifies Patent Eligibility for AI Software
Supreme Court allows appeal in Emotional Perception AI v. Comptroller General, mandating EPO-aligned test for computer-implemented inventions under UK law.
Building Enterprise AI Security: From Guardrails to Governance
Experts discuss the practical steps organizations must take to secure AI, protect data, and operationalize responsible deployments.
Claude Mythos: A double-edged sword for cybersecurity
AI Security Risks Escalate as Enterprises Lose Usage Visibility
“You Can’t Trust Anything”: How Deepfakes Are Breaking Enterprise Verification Models
MCP Dangers: Hidden Security Risks in Deploying AI Agents
The $200 Billion Question: Can OpenAI’s Spending Spree Last?
Bio and Cyber Are the Immediate Threats: Demis Hassabis Sounds the Alarm on AI Risk
Who Is Liable When AI Fails? The Insurance Industry Weighs In
Emotional Perception AI Ruling: UKSC Clarifies Patent Eligibility for AI Software
Building Enterprise AI Security: From Guardrails to Governance
Latest posts
01
News
Meta’s Muse Spark launches LLM with rollout planned to scale real-time AI capabilities
by
Faye Waters
New Muse Spark model upgrades Meta AI with multimodal input and parallel agents, and is expected to integrate across key Meta platforms such as WhatsApp, Instagram, and Facebook.
01
News
Anthropic Launches Project Glasswing to Apply AI in Cybersecurity Defense
by
Faye Waters
Project Glasswing brings AWS, Apple, Google, Microsoft, NVIDIA, and other key players together to address growing vulnerabilities in critical software systems.
01
News
IBM and Arm Partner to Enable Dual-Architecture Enterprise AI Platforms
by
Faye Waters
New IBM–Arm initiative focuses on virtualization and interoperability to support AI workloads across mixed-architecture enterprise environments.
01
News
IBM, ETH Zurich Collaboration Targets Enterprise Gaps in AI–Quantum Computing
by
Faye Waters
Partnership commits to a decade-long effort to advance hybrid algorithms critical for scaling AI and quantum computing.
01
News
Meta Expands El Paso AI Data Center to 1GW, Raising Investment to $10bn
by
Faye Waters
Expanded Texas facility reflects rising need for dedicated AI infrastructure, with capacity and long-term compute implications.
01
Analysis
Are Your AI Agent Logs Exposing Sensitive Data?
by
Faye Waters
Google security team members Priya Pandey, Aron Eidelman, and Leonid Yankulin explain why probabilistic AI is breaking traditional DevSecOps, and how runtime security and safer observability must evolve to keep sensitive data out of your logs.
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