All news with #ai governance tag

📚 The essay links Aaron Swartz’s fight for open access to today’s large AI firms that scrape and monetize vast amounts of public and private knowledge. It argues that AI companies are effectively appropriating research and creative works, settling liabilities as a cost of business while public access and accountability erode. The piece warns this corporate capture shifts control of information from democratic institutions to private platforms.

🔐 The World Economic Forum's Global Cybersecurity Outlook 2026 finds that advances in AI, geopolitical fragmentation and complex supply chains are intensifying cyber risk. Respondents named AI the top driver of change (94%) and reported rising AI-related vulnerabilities (87%), while confidence in national preparedness continued to fall. The report urges security-by-design, strong governance, and retained human oversight as organizations scale AI defenses. Notably, 64% now assess AI tools before deployment and 77% have deployed AI in security operations, though skills gaps and trust remain major obstacles.

🔐 The post argues that traditional vulnerability-sharing frameworks built around software flaws are inadequate for adversarial AI threats such as poisoning and inference attacks that target models and data rather than code. It recommends bridging existing cyber infrastructure — including the CVE Program, CVSS, CNAs, the NVD and CISA’s KEV Catalog — with new standards for AI artifacts like poisoned datasets and backdoored models. Palo Alto Networks supports the White House AI Action Plan and the proposed AI-ISAC to accelerate adoption, coordinate disclosure, and help operationalize AI-specific vulnerability management.

🔒 Microsoft was named a Leader in the 2025–2026 IDC MarketScape for Worldwide Unified AI Governance Platforms, recognizing its integrated approach to governing generative, agentic, and traditional ML across hybrid and multicloud environments. The company emphasizes centralized control, observability, and automated compliance through Microsoft Foundry, Agent 365, Purview, Entra, and Defender. Backed by the Responsible AI standard and an Office of Responsible AI, Microsoft highlights built-in transparency, fairness, explainability, and real-time security protections for regulated enterprises.

🪙 Chainalysis reports cryptocurrency-related fraud reached at least $14bn in 2025 and expects the total to rise to $17bn as more illicit wallets are identified. Impersonation scams surged in volume by 1,400% YoY and payment values jumped, while AI-linked operations now extract substantially higher revenues. The report warns of industrialized, Asia-linked networks using layered laundering to convert crypto into real-world assets and urges combined prevention and law enforcement responses.

🤖 Allianz Commercial's annual Risk Barometer reports that artificial intelligence has jumped from tenth to second place among global business risks, trailing only cybercrime. The insurer warns that cybercriminals increasingly harness AI for social engineering—deepfakes, cloned voices and highly tailored phishing—while legitimate internal AI use can produce erroneous or fabricated outputs that prompt litigation and reputational harm. The survey of 3,338 professionals across 97 countries also links AI risk to business interruptions and copyright exposure.

🔍 Google Public Sector commissioned a Government Executive survey of 250 federal IT leaders, finding nearly 90% of agencies are planning to or already using AI. Respondents cited common use cases such as document and data processing, workflow and process automation, and decision support systems. Security and adversarial risk were identified as the top adoption barrier, with reliability and workforce disruption also noted. Google highlights Gemini for Government, GSA OneGov pricing, and expanded training programs as measures to address cost, legacy, and skills constraints.

🔒 Fortinet CISO Carl Windsor argues that 2026 will demand resilience as the central organizing principle for security as AI accelerates both innovation and risk. CISOs must act as de facto chief resilience officers, embedding continuity into AI-augmented operations and assuming AI-enabled failures will occur. He outlines five strategic priorities—business continuity, AI governance, hardened identity, cross‑functional collaboration, and continual adaptation—to contain and absorb disruption.

🔐 In 2026 CISOs are balancing core security tasks with urgent AI-related challenges. Strengthening data protection, securing cloud and enterprise AI deployments, and improving identity and access management rank high. Leaders are preparing for AI-enabled attacks, rolling out AI to accelerate security operations, and addressing shadow AI and third-party risks to bolster resilience and supply-chain security.

🤖 Organizations are adopting agentic AI—systems that coordinate multiple models and tools to act on tasks—but many leaders find limited benefit when bots misinterpret instructions or produce trivial results. The essay argues that agentic systems increasingly exhibit human-like group behaviors and that established management disciplines—delegation, iteration, effective information sharing, and measurement—remain central to success. Drawing on Anthropic’s Claude Research and other studies, it offers practical guidance for designing hybrid human–AI workflows.

🔍 As organizations embed AI and distribute workloads across cloud and edge environments, traditional security tooling increasingly misses hidden misconfigurations, inconsistent controls, and emergent AI-agent behaviors. Experts advise moving from reactive, tool-stacked approaches to a unified visibility strategy that normalizes telemetry, aligns people/processes/data, and continuously evaluates agentic behavior. Practical steps include using existing FinOps metrics, tagging, and cross-team audits to reveal anomalies, and applying AI-driven automation to integrate and extend current investments. A modern CMDB and enterprise knowledge graphs provide the contextual backbone needed for AI to correlate signals and surface risk without expanding the security stack.

🔒 As enterprises deploy AI agents, expand cloud use, and rely on complex global supply chains, CISOs must tighten identity and access controls, govern agent accounts, and apply phishing-resistant MFA. They should prioritize zero-trust architectures across IT and OT, enforce proactive cloud posture management and supplier risk monitoring, and integrate geopolitical and regulatory scenario planning. Failing to address chatbot privacy, misconfigured cloud services, human error, and escalating compliance (e.g., GDPR, DORA, HIPAA) risks operational disruption, financial penalties, and reputational harm.

🔒 Check Point and NVIDIA announced an integrated security capability to protect AI "factories" across the entire AI lifecycle, from data ingestion and model training to deployment and inference. The effort targets growing risks such as prompt manipulation and attacks on GenAI infrastructure, which Gartner and other industry surveys identify as rising threats. The collaboration focuses on unified visibility, real-time detection, runtime protection, and centralized policy enforcement to reduce operational risk and help organizations meet compliance and governance requirements.

🔒 As AI hype settles, CISOs are refocusing 2026 priorities on resilience, rapid detection, and measurable outcomes. They favor engineering-driven architecture for cloud stability, AI-enabled orchestration to cut dwell time, and broad identity and privilege governance for human and non-human accounts. Visibility and SaaS discovery will curb shadow AI use, while security baked into agentic AI and post-quantum preparedness (cryptographic inventories and vendor roadmaps) become essential. Turning security into a visible trust signal and linking spend to ROI rounds out the agenda.

🛡️ ISC2’s 2025 Cybersecurity Workforce Study of 16,029 professionals finds that skills shortages have overtaken headcount as the primary concern for security teams. Budget constraints leave 33% of respondents unable to adequately staff and 29% unable to afford skilled hires, while 88% reported at least one incident linked to skills gaps. The report highlights rapidly accelerating AI adoption—69% are at some adoption stage—and stresses capability development, targeted training, and realistic workload expectations over simple headcount increases.

🤖 Generative AI is rapidly transforming CyberOps by automating routine tasks, accelerating investigations and raising overall team productivity. Tools—some developed in-house and some by vendors—assist with forensics, incident response, log analysis, orchestration, vulnerability management and reporting. While AI scales capabilities and elevates junior staff, leaders stress the need for AI governance, prompt engineering skills and human oversight to manage risk.

🤖 The essay argues that artificial intelligence is already reshaping democratic governance across the executive, judicial, and legislative branches, often without public notice or consent. It highlights recent U.S. policy moves at CMS and in Medicare Advantage that incentivize AI-enabled denials of care and documents judges and lawmakers experimenting with AI tools. The authors urge that AI be applied to decentralize power and augment human agency rather than concentrate authority in dominant corporate products.

🔒 NIST is investing $20m to fund two new AI security research centers run by nonprofit MITRE: the AI Economic Security Center for US Manufacturing Productivity and the AI Economic Security Center to Secure US Critical Infrastructure from Cyber Threats. The centers will develop technology evaluations and advancements to protect US AI leadership, counter adversarial AI uses, and reduce risks from insecure systems. NIST says the effort will drive applied science breakthroughs and support commercialization of new technologies.

🔧 Amazon Bedrock Data Automation now offers blueprint instruction optimization to improve custom field extraction accuracy using just a few example document assets with ground truth labels. The feature analyzes differences between expected values and Data Automation inferences, then refines the natural-language instructions in your blueprint to boost extraction performance without model training or fine-tuning. It produces evaluation metrics including exact match rates and F1 scores and is available in all Regions where Bedrock Data Automation is supported.

🔒 CrowdTour 2026 is CrowdStrike’s global roadshow focused on securing the AI era, bringing executives, practitioners, architects, and innovators together across 60+ cities. Attendees will learn to counter AI-accelerated threats, transform SOCs with agentic automation, and govern AI across the enterprise. Sessions include live demos, hands-on training, customer stories, and guidance on using the CrowdStrike Falcon® platform to protect data, agents, identities, and models.