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All news with #ai governance tag

232 articles · page 4 of 12

Preparing Your SOC for Agentic AI: Four Key Actions

🤖 Organizations must prepare SOCs for agentic AI by reskilling staff, redesigning processes, and instituting governance to ensure safe autonomous operations. The piece explains that AI is already augmenting alert triage, enrichment, IOC validation and initial containment, and could soon handle more complex tasks like incident investigation and response. It recommends new roles—content engineers, data architects and orchestration platform engineers—and stresses auditability, least-privilege, red-teaming and clear approval thresholds for autonomous actions.
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Anthropic vs. Pentagon: AI Supply, Ethics, and Policy

⚖️ The Pentagon’s removal of Anthropic from US defense contracts, and the swift substitution by OpenAI, marks a high-profile clash over AI use for military and surveillance purposes. Anthropic refused DoD terms that would permit mass surveillance or fully autonomous weapons, provoking political backlash and a presidential order halting its federal partnerships. OpenAI has agreed to supply classified systems, raising questions about vendor politicization and how safety commitments will be enforced. The episode underscores procurement power, potential legal battles, and the limits of corporate ethical posturing.
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EC-Council Adds Four AI Certifications and CISO v4

🔐 EC‑Council launched its Enterprise AI Credential Suite, introducing four role-aligned certifications—Artificial Intelligence Essentials (AIE), Certified AI Program Manager (CAIPM), Certified Offensive AI Security Professional (COASP), and Certified Responsible AI Governance & Ethics (CRAGE)—alongside an updated Certified CISO v4. The suite is structured around the proprietary Adopt, Defend, Govern (ADG) framework to build practical capability across AI adoption, security, and governance. EC‑Council positions the expansion as a response to growing AI risk exposure and a pronounced workforce reskilling gap.
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New RFP Template for AI Usage Control and Governance

🔒 A new RFP Guide for Evaluating AI Usage Control and AI Governance Solutions provides security teams with a practical framework to convert vague AI-governance goals into measurable procurement criteria. It emphasizes interaction-level inspection — governing the moment a prompt is typed or a file is uploaded — rather than cataloging every shadow app. The template forces vendors to demonstrate browser- and client-side visibility, real-time enforcement, and contextual policy controls. A scoring model across eight domains helps CISOs avoid legacy checkbox tools and evaluate readiness for agentic, browser-native workflows.
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GraphML and Digital Twins for Autonomous Telco Networks

🔗 Google Cloud describes using graph-based digital twins and GraphML to enable autonomous telecommunications networks that self-configure, self-optimize, self-heal and self-secure with minimal human intervention. The post outlines an integrated stack combining tf-GNN and NetAI's fine-tuned GNNs to model live topology and dependencies as input for deterministic root-cause analysis. A MasOrange PoC at MWC 2026 showcases managed AIOps driven by these models.
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AI Agents as Identity Dark Matter: Governance Risks

🔐 The article explains how Model Context Protocol (MCP)-driven AI agents are rapidly moving from chat assistants into enterprise workflows, creating an emergent class of non-human identities that often evade traditional IAM controls. It warns these agents gravitate to low-friction credentials—local accounts, long-lived tokens, and API keys—creating pervasive “identity dark matter.” The piece recommends pairing agents with human sponsors, enforcing dynamic, context-aware access, centralizing visibility and auditability, and applying consistent governance across hybrids to prevent privilege drift and regulatory blind spots.
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Standardized IAM Context Keys for AWS-Managed MCP Servers

🔐 AWS introduced standardized IAM context keys for its managed remote Model Context Protocol (MCP) servers so AI agents can operate with existing IAM credentials while enabling distinct governance controls. The two keys — aws:ViaAWSMCPService (boolean) and aws:CalledViaAWSMCP (string) — let you allow or deny MCP-initiated actions and restrict access to specific MCP servers. AWS will also simplify public endpoint authorization so AI calls use standard IAM permissions (no separate MCP actions) and plans to add VPC endpoint support for private-network enforcement and two-stage authorization.
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From Vibe Checks to Continuous Evaluation for AI Agents

🔎 Manual 'vibe checks' are unreliable for production AI agents; this article recommends adopting continuous evaluation (CE) to guard against regressions, hallucinations, and unseen edge cases. It outlines a practical engineering approach—separating discovery and defense modes—and demonstrates implementation patterns using Agent Development Kit (ADK), Vertex AI evaluation services, and Cloud Run. The guidance covers dataset design, automated rubrics, tool-trajectory metrics, shadow deployments, CI/CD gating, and distributed tracing to establish robust, auditable agent behavior.
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AWS Completes First ISO/IEC 42001:2023 Surveillance Audit

🔒 In November 2025, AWS completed its first surveillance audit for ISO/IEC 42001:2023 — the Artificial Intelligence Management System standard — with no findings. This follows AWS’s November 2024 announcement that several AI services, including Amazon Bedrock, Amazon Q Business, Amazon Textract, and Amazon Transcribe, were accredited under the standard. The successful no-findings outcome provides independent validation of AWS’s ongoing commitment to responsible AI practices and gives customers added assurance when building and operating AI applications on AWS.
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PayPal Completes Historic Migration to BigQuery for AI

🚀 PayPal completed a multi-year, large-scale migration of more than 300 petabytes of analytics data into BigQuery on Google Cloud to create a unified data foundation for generative AI. The initiative consolidated disparate platforms — including Teradata, Hadoop, Redshift, and Snowflake — and reduced vendor complexity. PayPal automated migration tasks, used live dashboards, and integrated FinOps to maintain zero business downtime while enabling faster queries and much fresher data for AI model training.
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National Cyber Resilience in the AI Era: A Leadership Guide

🔐 This practical Q&A guide helps leaders translate evolving threats into actionable resilience measures. It highlights why national cyber security urgency has increased as adversaries shift from theft to persistent, disruptive positioning that can affect fuel, hospitals, elections, markets, and public trust. The brief recommends adoption of NIST frameworks, Zero Trust principles, and AI governance to mitigate cloud, OT, and supply chain risks. Leaders receive concise operational steps to align policy, technology, and cross‑sector coordination.
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Cost of Insider Incidents Surges Driven by Shadow AI

🔍 DTEX's Cost of Insider Risks 2026 report, produced with the Ponemon Institute, finds employee negligence — driven in part by shadow AI — caused 53% of the average $19.5m loss per organization. Malicious incidents accounted for $4.7m and phishing-related 'outsmarted' employees $4.5m. The study warns undocumented AI, personal webmail and file sharing create exposure and urges behavioral intelligence, identity-centric controls and AI governance to reduce incidents.
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Is AI Good for Democracy? Arms Races, Power, Policy

⚖️ Bruce Schneier contends that AI is reshaping democratic engagement by creating widespread, domain-specific arms races—from academic publishing and courts to media, hiring, and public comment systems. These dynamics advantage well-resourced corporate actors while pressuring governments to adopt automated tools to manage scale. Schneier urges both tactical citizen use of AI and stronger regulatory responses to prevent concentrated power and preserve civic voice.
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EC-Council Expands AI Certifications, Adds CISO v4

🔐 EC-Council launched the Enterprise AI Credential Suite, introducing four role-based AI certifications alongside an updated Certified CISO v4 to strengthen executive readiness. The programs target a growing skills gap—cited as $5.5 trillion in unmanaged AI exposure and a 700,000-person U.S. reskilling shortfall—and align with U.S. AI workforce priorities. The suite maps to an Adopt. Defend. Govern. framework and includes Artificial Intelligence Essentials, CAIPM, COASP, and CRAGE to operationalize secure, responsible AI.
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NIST AI Agent Standards Initiative Aims for US Leadership

🧭 NIST has launched the AI Agent Standards Initiative via the Center for AI Standards and Innovation (CAISI) to create a roadmap for developing interoperable, trustworthy autonomous AI agents. The effort will gather public input through an RFI (responses due March 9) and sector-specific listening sessions in April, and emphasizes industry-led standards, open-source work, and international engagement. Critics caution the process may be too slow to keep pace with agentic AI adoption and emerging threats.
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Board Accountability for Cyber Risk and Training Gaps

🔒 Cybersecurity has shifted from a technical issue to a board-level business and financial risk, yet many directors remain underprepared to govern it. The 2025 Cybersecurity Skills Gap Global Research Report shows 96% of organizations call cybersecurity a business priority, but only 49% of leaders believe boards fully understand the risks, particularly as AI reshapes threats. Persistent skills and awareness gaps correlate with higher breach frequency and costs, and training programs are often reactive rather than embedded as continuous governance.
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Cybersecurity Priorities for 2026: Resilience by Design

🧭In 2026 cybersecurity shifts from episodic defense to continuous operational resilience. Regulation, geopolitics and AI now shape architecture and controls, forcing cryptographic agility, continuous Zero Trust decisioning and lifecycle security across cloud and supply chains. Organizations must make attacker intelligence unreliable through deception, Automated Moving Target Defense and Continuous Threat Exposure Management while embedding AI into detection, response and governance.
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Record Year for Ransomware Victims as AI Lowers Barrier

🔒 Searchlight Cyber's report found a 30% year-on-year increase in ransomware victims listed on extortion sites in 2025, recording 7,458 incidents split virtually 50:50 across the year. The number of active groups reached a record 124, with 73 newly observed, and the firm warned that AI is lowering the barrier to entry by aiding social engineering, data analysis and malware refinement. The report urged organizations to address insider risk, patching, MFA and compromised accounts to reduce exposure.
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Reimagining the CISO Role as Enterprise Risk Grows

🔍 A majority of enterprise CISOs now report their roles are 'no longer fully manageable' as responsibilities expand without commensurate resources, the 2026 State of the CISO Benchmark Report found. Beyond traditional security functions, many CISOs oversee business risk, IT operations, third-party management, and emerging domains like AI governance, creating a mismatch between accountability and authority. Experts call for structural change: redesigning the role, distributing ownership, and granting board-level authority so CISOs act as risk executives rather than operational catch-alls. Without such shifts, organizations risk delayed initiatives, eroded resilience, and executive burnout.
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Kiro Brings Agentic AI Development to AWS GovCloud (US)

🔒 Kiro is now available in AWS GovCloud (US-East) and AWS GovCloud (US-West), enabling agentic AI development for compliance-sensitive workloads. The platform combines an integrated development environment (IDE) and a command-line interface (CLI) to support spec-driven workflows that turn prompts into specs, working code, documentation, and tests. Native Model Context Protocol (MCP) support lets Kiro connect to documentation, databases, APIs, and other enterprise resources while integrating with AWS IAM Identity Center for enterprise authentication.
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