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.
New disclosures emphasize compute scale, pricing pressure, and reliability as enterprise AI adoption accelerates.
Intel’s buyback of full ownership of its Ireland fabrication facility underscores a strategic bet to secure CPU manufacturing capacity in the ‘era of AI.’
New platform focuses on runtime enforcement, auditability, and risk scoring for AI agents operating in regulated enterprise environments.
Despite $29M annual data budgets, most enterprises struggle with pipeline reliability, downtime, and delayed AI outcomes.
The Pentagon’s blacklisting of Anthropic over AI weapons and surveillance restrictions exposes a new class of governance risks for enterprise AI — and reveals how differently America’s leading AI companies view their obligations to the state.
Microsoft deepens its nuclear AI push with NVIDIA partnership, combining Azure cloud and NVIDIA GPU infrastructure to power advanced operations.
Platform updates target automation, continuous validation, and lifecycle protection for AI-driven systems.
Security models are no longer enough as multi-modal attacks overwhelm traditional controls, forcing a rethink of enterprise trust systems.
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.
Hefty cash burn threatens OpenAI’s longevity in the face of self-funded competitor.
Google DeepMind CEO warns that defensive systems must outpace AI-powered attack vectors as AGI approaches.
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)
Supreme Court allows appeal in Emotional Perception AI v. Comptroller General, mandating EPO-aligned test for computer-implemented inventions under UK law.
As GenAI scales across enterprises, quantum advances are compressing security timelines, challenging encryption lifetimes, governance models, and breach assumptions.
Under a $151 Billion SHIELD contract, IBM will bring governed, interoperable, mission-grade AI to accelerate threat detection and response.
In parallel to its existing inquiry, the European Commission has launched a new investigation into how risks are assessed and mitigated in connection with the deployment of Grok’s functionalities in X.
IBM’s Cost of a Data Breach Report 2025 reveals faster detection offsets rising AI-driven attacks, though US breach costs hit a record high.
Experts discuss the practical steps organizations must take to secure AI, protect data, and operationalize responsible deployments.
New scientific body aims to assess AI impacts, close knowledge gaps and address weaponization risks.
Partnership will build hyperscale, energy‑efficient AI infrastructure leveraging NVIDIA’s next-generation CPUs, GPUs, and networking technologies.
Claude and Claude Code integration with the Topaz platform will build secure, compliant AI agents, modernize legacy systems, and scale enterprise AI adoption across key functions.
Perplexity’s Model Council runs queries in parallel across multiple frontier models and synthesizes structured insights for enterprise users.
Funding supports model development, enterprise expansion, and multi-cloud infrastructure.
From the EU AI Act to cyber policy wording, panelists examined how emerging regulation and insurance structures intersect with enterprise AI deployment.
