All news with #ai governance tag

🌱 Google presents a Sustainable by Design approach to reduce the environmental footprint of AI and software. The post highlights projects like Green Light and Project Contrails, improvements in hardware efficiency such as Ironwood TPUs, and a fleet-wide Power Usage Effectiveness of 1.09. It introduces the 4Ms—Machine, Model, Mechanisation, Map—to guide infrastructure and development choices. The emphasis is on embedding efficiency across the software lifecycle to cut energy use, costs, and water consumption.

🔒 Prisma AIRS 2.0 presents a unified AI security platform that addresses the “AI black box” by combining AI Model Security and automated AI Red Teaming. It inventories models, inference datasets, applications and agents in real time, inspects model artifacts within CI/CD and model registries, and conducts continuous, context-aware adversarial testing. The platform integrates curated threat intelligence and governance mappings to deliver auditable risk scores and prioritized remediation guidance for enterprise teams.

🔬 While many researchers view AI as exacerbating misinformation, authoritarian tools, labor exploitation, environmental costs, and concentrated corporate power, the essay argues that resignation is not an option. It highlights concrete, beneficial applications—language access, AI-assisted civic deliberation, climate dialogue, national-lab research models, and advances in biology—while acknowledging imperfections. Drawing on Rewiring Democracy, the authors call on scientists to reform industry norms, document abuses, responsibly deploy AI for public benefit, and retrofit institutions to manage disruption.

🤝 Getting an enterprise-grade generative AI platform in place is a milestone, not the finish line. Sustained, distributed adoption comes from embedding AI into everyday processes through an organized AI champions network that brings enablement close to the work. Champions act as multipliers — translating strategy into team behaviors, surfacing blockers and use cases, and accelerating normalized use. With structured onboarding, rotating membership, monthly working sessions, and direct ties to the core AI program, the network converts tool access into measurable business impact.

🛡️ AI is a strategic imperative for modernizing risk management, enabling organizations to shift from reactive to proactive, data-driven strategies. Manfra highlights four practical AI uses—risk identification, risk assessment, risk mitigation, and monitoring and reporting—and shows how NLP, predictive analytics, automation, and continuous monitoring can improve coverage and timeliness. She also outlines operational hurdles including legacy infrastructure, fragmented tooling, specialized talent shortages, and third-party risks, and calls for leadership-backed governance aligned to SAIF, NIST AI RMF, and ISO 42001.

🔎 Google says a forthcoming AI Mode for Search could, with users' opt-in consent, access content from Gmail, Drive, Calendar and Maps to provide customized results and actions. The company is testing early experiments in Labs for personalized shopping and local recommendations, and suggests features like flight summaries, scheduling, or trip planning could leverage that data. Timing remains TBD.

🤖 Bruce Schneier and Nathan E. Sanders present five key insights from their book Rewiring Democracy, arguing that AI is rapidly embedding itself in democratic processes and can both empower citizens and concentrate power. They cite diverse examples — AI-written bills, AI avatars in campaigns, judicial use of models, and thousands of government use cases — and note many adoptions occur with little public oversight. The authors urge practical responses: reform the tech ecosystem, resist harmful applications, responsibly deploy AI in government, and renovate institutions vulnerable to AI-driven disruption.

🔐 This post proposes a lightweight, crowd-curated registry for bots and agents to simplify discovery of public keys used for cryptographic Web Bot Auth signatures. It describes a simple list format of URLs that point to signature-agent cards—extended JWKS entries containing operator metadata and keys—and shows how registries enable origins and CDNs to validate agent signatures at scale. Examples and a demo integration illustrate practical adoption.

🤖 1Password’s 2025 Annual Report finds shadow AI is now the second-most prevalent form of shadow IT, with 27% of employees admitting they used unauthorised AI tools and 37% saying they do not always follow company AI policies. The survey of 5,200 knowledge workers across six countries shows broad corporate encouragement of AI experimentation alongside frequent circumvention driven by convenience and perceived productivity gains. 1Password warns that freemium and browser-based AI tools can ingest sensitive data, violate compliance requirements and even act as malware vectors.

🚀 Fortinet announced enhancements to Fortinet Unified SASE, expanding its global footprint to over 170 points of presence and embedding AI-powered operations. FortiAI-Assist automates diagnostics and remediation to accelerate mean time to resolution, while an agentless Secure Browser and SaaS Security Posture Management extend DLP and compliance controls across 80+ SaaS apps. These updates aim to boost performance, simplify operations, and strengthen data protection for distributed workforces.

🔔 At the Google Public Sector Summit in Washington D.C., leaders highlighted a shift toward agentic AI and large-scale cloud modernization. Google introduced Gemini for Government, an accredited platform providing an AI Agent Gallery, agent-to-agent protocols, enterprise connectors, and governance controls to deploy and monitor AI agents. Speakers showcased real-world deployments across defense, city, and education sectors, and Google announced expanded partner investments plus an enhanced partnership with NVIDIA to support on-premises and air-gapped environments.

🔍 Join a free expert webinar that translates rapid AI advances into practical, actionable tactics for Governance, Risk, and Compliance (GRC) teams. The session will showcase real-world examples of AI improving compliance workflows, early lessons from agentic AI deployments, and the common risks teams often overlook. Expect clear guidance on mitigation strategies, regulatory gaps, and how to prepare your team to make AI a competitive compliance advantage.

⚠️ The British Standards Institution warns of a widening AI governance gap as many organisations accelerate AI adoption without adequate controls. An AI-assisted review of 100+ annual reports and two polls of 850+ senior leaders found strong investment intent but sparse governance: only 24% have a formal AI program and 47% use formal processes. The report highlights weaknesses in incident management, training-data oversight and inconsistent approaches across markets.

🤖 Agent HQ integrates AI agents directly into the GitHub workflow, making third-party coding assistants available through paid Copilot subscriptions. It introduces a cross-surface mission control to assign, steer, and track agents from GitHub, VS Code, mobile, and the CLI. VS Code additions include Plan Mode, AGENTS.md for custom agent rules, and an MCP Registry to discover partner servers. Enterprise features add governance, audit logging, branch CI controls, and a Copilot metrics dashboard.

🔒 Security leaders face a rapidly evolving threat landscape driven by AI, constrained budgets, talent shortages, and a vastly expanded attack surface. Many organizations rushed into AI adoption before security controls matured, and CISOs report growing involvement in AI governance and implementation even while attackers leverage AI to compress time-to-compromise. Data protection, employee susceptibility to sophisticated scams, quantum readiness, and board alignment emerge as immediate priorities that require clearer risk-based decisions and frequent simulation exercises.

🔒 Since ChatGPT’s 2022 debut, enterprises have rapidly launched GenAI pilots but struggle to convert experimentation into measurable value — only 3 of 37 pilots succeed. The article identifies four critical bottlenecks: security & data privacy, observability, evaluation & migration readiness, and secure business integration. It recommends targeted controls such as confidential compute, fine‑grained agent permissions, distributed tracing and replay environments, continuous evaluation pipelines and dual‑run migrations, plus policy‑aware integrations and impact analytics to move pilots into reliable production.

⚠️A new ISACA report identifies AI-driven social engineering as the top cyber threat for 2026, cited by 63% of nearly 3,000 IT and security professionals. The 2026 Tech Trends and Priorities report, published 20 October 2025, shows AI concerns outpacing ransomware (54%) and supply chain attacks (35%), while only 13% of organizations feel very prepared to manage generative AI risks. ISACA urges organizations to adopt AI governance, strengthen compliance amid divergent US and EU approaches, and invest in talent, resilience and legacy modernization.

⚖️ More than seven in 10 IT leaders list regulatory compliance as a top-three challenge when deploying generative AI, according to a recent Gartner survey. Fewer than 25% are very confident in managing security, governance, and compliance risks. With the EU AI Act already in effect and new state laws in Colorado, Texas, and California on the way, CIOs worry about conflicting rules and rising legal exposure. Experts advise centralized governance, rigorous model testing, and external audits for high-risk use cases.

📘 The Future Report (published Oct 16, 2025) summarizes findings from a Google study created with youth consultancy Livity, based on a survey of more than 7,000 teens across Europe. A five-piece guest series invites experts from child safety, digital rights, and policy to interpret what young people say about AI, digital wellbeing, and online safety. Contributors argue for building supportive, youth-centered digital environments and targeted interventions instead of default bans.

🌐 Janice Richardson presents Google's Future Report, based on responses from over 7,000 teenagers across seven EU countries, highlighting how young people use the internet for learning, cultural exploration and creativity. The study finds widespread focus on trustworthiness and practical critical thinking, alongside an openness to algorithmic recommendations. About 40% of participants report near-daily use of AI for problem solving and creative work, yet teens want better-equipped teachers and improved digital literacy across income groups. The report urges shared societal responsibility for safe, balanced online experiences and recommends supporting parents, educators, policy makers and industry to ensure equitable benefits.