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Hand-picked stories worth reading right now104 articles found · page 1 of 2
Inference meta-monitoring for Amazon SageMaker AI endpoints with Amazon Quick
Learn how to build an inference meta-monitoring system for Amazon SageMaker AI endpoints using Amazon Quick. This governance layer sits above production ML inference pipelines to continuously track prediction and data quality, detect drift, integrate delayed ground truth, and surface automated performance dashboards.
AI Is Hyper-Scaling Digital Inequality
Artificial intelligence is rapidly becoming part of everyday infrastructure-in some places. It helps write emails and software code, filters job applications, powers recommendation systems, and is increasingly being integrated into education, health care, finance, and public administration. Industry leaders talk about "AI for everyone," while governments rush to publish national AI strategies and build sovereign compute. Yet over the past decade, working on digital inclusion and digital literacy projects in regions from Europe to sub-Saharan Africa and Southeast Asia, I've seen the same patter
AI researchers call for new tools that can slow automated model development
A group of tech workers today published an open letter that calls for a new approach to regulating automated artificial intelligence development initiatives. All the document's 1,134 signatories work at companies that are building frontier AI models. Anthropic PBC, OpenAI Group PBC, Google LLC and Meta Platforms Inc. are among the industry players on the [...] The post AI researchers call for new tools that can slow automated model development appeared first on SiliconANGLE.
How AgentCore Gateway supports the MCP 2026-07-28 spec
The Model Context Protocol (MCP) published its 2026-07-28 specification, the largest revision since launch: MCP is now stateless, with a governed extensions system and hardened authorization. Learn what changed and how to enable the new version on Amazon Bedrock AgentCore Gateway with a single UpdateGateway call.
Bringing Conversational Analytics to your entire data ecosystem
Increasing the adoption of generative AI across the enterprise requires you to do more than deploy a generic chatbot with a custom wrapper. Interacting with business-critical databases demands absolute trust, strict governance, and deep grounding in enterprise semantics. Over the last year, Conversational Analytics (CA) in Google Cloud has moved from isolated experiments to scaled, enterprise-wide deployments. BigQuery Conversational Analytics and the Conversational Analytics API are now generally available, adding to the general availability of Conversational Analytics in Looker last year. Bu
Tines seeks to tame 'wild code' AI sprawl
Workflow automation company Tines Ltd. today launched Tines 3B, an artificial intelligence-native platform for building, running and governing enterprise workflows, applications and agents. The product targets a problem Tines has taken to calling "Wild Code," the sprawl of AI-generated software now being assembled inside enterprises by employees working outside traditional information technology processes. Much of [...] The post Tines seeks to tame 'wild code' AI sprawl appeared first on SiliconANGLE.
Snowflake debuts Cortex AI Gateway to govern and monitor enterprise AI agents
Snowflake Inc. today introduced Cortex AI Gateway, a centralized control layer that lets enterprises connect, govern and monitor artificial intelligence agents as they reach into models, tools, Model Context Protocol servers and internal systems. The company cast the gateway as the connective tissue for the "agentic enterprise," the point at which autonomous software agents start [...] The post Snowflake debuts Cortex AI Gateway to govern and monitor enterprise AI agents appeared first on SiliconANGLE.
Exclusive: Dymium introduces single gateway to govern enterprise AI use
Secure artificial intelligence infrastructure startup Dymium Inc. today introduced GhostAI, a gateway designed to apply security and governance policies across the models, data, context and tools used in enterprise AI systems. The company said GhostAI sits between enterprise data and the AI models, agents and tools seeking to access it. The gateway inspects each interaction, [...] The post Exclusive: Dymium introduces single gateway to govern enterprise AI use appeared first on SiliconANGLE.
AI Agent Governance: Securing Autonomous Agents in Production
Discover enterprise AI agent governance. Inventory agents, enforce least-privilege access, and add runtime guardrails for security at the workflow level.
Build an explainable next-best-product recommendation system for banking on AWS
Learn the architecture and design decisions behind an explainable next-best-product recommendation system for banking, built with Amazon SageMaker AI and PyTorch. A multi-tower neural network with learned attention delivers accurate, per-customer recommendations while providing the explainability that banking regulators require.
AI Audit Trail: Tracing Data Usage in Production Workflows
Learn how to implement an AI audit trail for production workflows. Discover how execution records and data usage tracking ensures governance.
Building multi-Region visualizations with Highcharts in Amazon Quick
This post shows you how to build multi-Region carrier performance dashboards in Quick Sight using Highcharts custom visualizations to overcome native chart limitations. You will learn how to maintain data sovereignty across AWS Regions while creating unified visualizations through the Quick Sight federated dataset capability. The solution includes production-ready chart configurations and addresses security, compliance, and scalability requirements.
The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem - and most are still building the fix
Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context source, and provider-native retrieval has quietly overtaken the dedicated vector databases that define the category - yet a majority of enterprises have already watched their agents produce confident, wrong answers traced to missing or inconsistent context. A governed semantic layer is emerging as the fix, but most are still building it; the field is converging on hybrid retrieval; and even as provider
Creatio expands beyond its no-code roots with conversational development tool and AI studio
Creatio Inc. today introduced what it calls a major update to its customer relationship management and workflow platform that enables business users and information technology teams to build, deploy and govern artificial intelligence agents alongside conventional customer workflows. The Creatio 10x release combines the company's CRM applications with new tools for developing personal assistants, deterministic [...] The post Creatio expands beyond its no-code roots with conversational development tool and AI studio appeared first on SiliconANGLE.
Google DeepMind CEO Demis Hassabis calls for creation of AI standards body
Artificial intelligence pioneer Demis Hassabis today called for the creation of a standards body focused on regulating frontier models. Hassabis, chief executive of Google DeepMind, proposed in a Substack essay that the U.S. should lead the effort. Axios reported that the executive has held talks about the initiative with the White House, European officials and [...] The post Google DeepMind CEO Demis Hassabis calls for creation of AI standards body appeared first on SiliconANGLE.
New York becomes first US state to impose a data center moratorium
New York became the first state in the U.S. to impose a statewide moratorium on new data centers today after Governor Kathy Hochul signed an executive order pausing state environmental permits for large facilities for up to a year. Executive Order No. 62 took effect on signing and covers hyperscale data centers that draw 50 [...] The post New York becomes first US state to impose a data center moratorium appeared first on SiliconANGLE.
Multi-agent social intelligence with Strands Agents and Amazon Bedrock
This post shows how Thrad.ai deployed a multi-agent system with Strands Agents and Amazon Bedrock AgentCore that automates the pipeline from prospect discovery through personalized email generation. The post compares two orchestration patterns (Swarm and Graph) with head-to-head benchmarks on latency, cost, and email quality. You'll also learn how the system scores prospects using weighted criteria, intent classification, and temporal decay, plus governance controls for production deployment.
ScienceSoft's HIPAA-compliant AI voice scheduler built on AWS
In this post, you will learn how ScienceSoft, an Amazon Web Services (AWS) Services Partner, integrated Amazon Nova 2 Sonic with Amazon Bedrock Guardrails to build a Health Insurance Portability and Accountability Act (HIPAA)-compliant AI voice scheduler. You will see how the solution addresses healthcare scheduling challenges while maintaining privacy, compliance, and responsible AI standards, and how you can apply the same architecture to your own workflows.
Claude at scale on Google Cloud: Frontier AI, built for enterprise production
Running frontier AI in production is demanding - accelerators to manage, latency to hold steady across continents, regulated data to keep in-region, and long-context requests to serve reliably. Claude on Google Cloud is built for exactly this. Like Monet and water lilies, frontier models and the enterprise platforms are often better together. In our case, Claude brings the reasoning, and Google Cloud brings the managed infrastructure, global reach, and compliance posture that enterprises already run on. Calling Claude becomes operationally identical to calling any other Google Cloud service -
Prominent economists, tech executives call for new regulatory approach to AI
A group of economists and tech industry figures has called on policymakers to address the risks posed by artificial intelligence more directly. The signatories outlined their concerns in a public letter published today. The initiative was organized by economics professors Erik Brynjolfsson, Ajay Agrawal, Anton Korinek and Tom Cunningham. More than half of the 200-plus [...] The post Prominent economists, tech executives call for new regulatory approach to AI appeared first on SiliconANGLE.
Building an agentic AI solution at Bluesight with Amazon Bedrock
In this post, we describe how Bluesight used two AWS engagements and Amazon Bedrock AgentCore to evolve from a single-product AI prototype to Prism, a unified agentic AI solution spanning six healthcare compliance products. Prism Assistant for ControlCheck launched in May 2026 and is already in use by 20 health systems. A more complex multi-product agentic solution is on track for later in 2026.
Canva targets enterprise creativity with trusted AI creative workflows
AI creative workflows are reshaping how teams create, moving beyond content generation to editable, collaborative experiences that boost productivity. At the same time, enterprises are demanding trusted AI solutions that balance ease of use with security and compliance. With all that in mind, Canva Pty Ltd. is working to address enterprise concerns about generative AI [...] The post Canva targets enterprise creativity with trusted AI creative workflows appeared first on SiliconANGLE.
Data sovereignty emerges as the defining moat in the agentic AI era
As agentic AI accelerates enterprise transformation, data sovereignty is crystallizing from a compliance checkbox into a foundational strategic imperative - one that determines not just where data lives, but who captures the economic value it generates. The debate is particularly acute in Europe, where nations are pressing to retain both data residency and the commercial [...] The post Data sovereignty emerges as the defining moat in the agentic AI era appeared first on SiliconANGLE.
Intelligence is Free, Now What? Data Systems for, of, and by Agents
... government of the people, by the people, for the people ... The cost of AI is dropping rapidly. GPT-4-class capabilities cost roughly $30 per million tokens in early 2023; today the same runs under $1, and some providers are pushing costs below $0.10. Across benchmarks, inference prices have fallen between 9x and 900x per year, with a median decline near 50x. Even frontier models are getting dramatically cheaper each generation, with open-source models following closely behind. And crucially, even if "Nobel-Prize-winning genius-level" intelligence isn't here yet, the intelligence that suff
Chipmakers urge White House to avoid broad memory market interventions
A chip industry association has urged the White House not to make major changes to the way the memory market is regulated. The group, SEMI, represents most of the world's major semiconductor equipment and materials companies as well as chipmakers. Bloomberg reported late Thursday that the association had outlined its concerns about the memory market [...] The post Chipmakers urge White House to avoid broad memory market interventions appeared first on SiliconANGLE.
OpenAI offers feds a stake, Anthropic gets out of AI model jail and Meta wants to be a neocloud
OpenAI reportedly has floated giving the U.S. government a 5% stake in the company, perhaps the start of a series of such stakes in other AI companies as well. This no doubt has traditional anti-industrial-policy Republicans, all apparently dead now, spinning in their graves, because it's a dumb idea for all sorts of reasons - [...] The post OpenAI offers feds a stake, Anthropic gets out of AI model jail and Meta wants to be a neocloud appeared first on SiliconANGLE.
OpenAI could reportedly give 5% stake to US government
OpenAI Group PBC has reportedly floated the idea of giving a 5% stake to the U.S. government. Sources told the Financial Times today that the ChatGPT developer's executives made the suggestion during talks with Trump administration officials. According to the report, the discussions are at an early stage. The development doesn't come as a complete [...] The post OpenAI could reportedly give 5% stake to US government appeared first on SiliconANGLE.
Palantir CEO Alex Karp doesn't hold back in interview as he rails against AI industry
Palantir Technologies Inc. Chief Executive Alex Karp appeared to go into meltdown mode during an interview with CNBC today where for 20-odd minutes he went off script after being asked to discuss his company's ongoing deal with chip maker Nvidia Corp. The conversation turned to the AI industry where he lambasted the U.S. government's relationship [...] The post Palantir CEO Alex Karp doesn't hold back in interview as he rails against AI industry appeared first on SiliconANGLE.
Agentic AI Design Patterns: From Architecture to Production
This practical guide to agentic AI design patterns covers validation, governance, context management, error recovery, and cost control in production.
How Inscribe uses Amazon Bedrock to stop document fraud in seconds
In this post, you will learn how Inscribe developed an agentic AI system using Amazon Bedrock that reasons across documents the way an expert fraud analyst would. With this new agentic AI system, Inscribe now detects tampered, fabricated, and AI-generated financial documents in under 90 seconds. This is a 20x improvement over traditional manual review, while maintaining the accuracy and explainability required by financial services regulations.
Semiconductors: 10 companies that raised the most in 2025
European semiconductor companies attracted strong investmentin 2025 as governments and investors doubled down on technologies underpinningAI, high-performance computing, next-generation communications...
Production-grade AI agents for financial compliance: Lessons from Stripe
In this post, you learn how Stripe built a production-grade AI agent system for financial compliance. We cover the technical architecture of Stripe's ReAct agent framework and the infrastructure decisions behind a dedicated agent service. We also discuss the role of human oversight in maintaining accountability, and key lessons about task decomposition, orchestration patterns, and cost optimization through prompt caching. By the end, you will understand how to design agentic systems that scale compliance operations without compromising quality or auditability.
AI Maturity - The 5-Level Framework
The following framework allows leadership to benchmark their organization across five distinct stages. Each level is assessed across four dimensions: Usage (who is using AI and how broadly), Sophistication (what types of tasks AI handles), Governance (what controls and policies are in place), and Infrastructure (what technical foundations support AI
HelloTwin launches 'Digital Authority' to bring governed AI agents to the enterprise
HelloTwin.ai GmbH today announced what it calls an accountable artificial intelligence AI twin that holds business intelligence and goals in a single source of truth. HelloTwin said it built its data model on a patent-pending compiler designed to pull answers from business context rather than generate them. This means that the agentic identity for the [...] The post HelloTwin launches 'Digital Authority' to bring governed AI agents to the enterprise appeared first on SiliconANGLE.
CData targets AI developers with governed data access tools
CData Software Inc. today announced three products aimed at simplifying access to enterprise data for developers building artificial intelligence applications. They include a free Connect AI Developer Edition, an open-source Python software development kit and a new command-line interface tool. The launch addresses what the company said is the growing challenge developers face to easily access [...] The post CData targets AI developers with governed data access tools appeared first on SiliconANGLE.
Mississippi Department of Revenue balances cloud modernization with security-first AI adoption
Public sector organizations are increasingly rethinking how they manage critical infrastructure as demands for always-on digital services and greater operational efficiency continue to grow. As government AI adoption accelerates alongside advances in cloud-native platforms, IT teams are modernizing legacy environments while maintaining security and public trust. Organizations are taking a measured approach to AI, recognizing [...] The post Mississippi Department of Revenue balances cloud modernization with security-first AI adoption appeared first on SiliconANGLE.
New in Amazon Bedrock AgentCore: Build agents with broader knowledge and continuous learning
Today we're introducing new capabilities on Amazon Bedrock AgentCore, the platform to build, connect, and optimize agents. In this post, we cover how these capabilities close each gap: connecting agents to organizational, web, and paid knowledge; helping teams find and fix what's going wrong in production; and enforcing controls that scale as agents grow more capable. Together, they help you build more capable agents faster, govern them with controls that scale, and improve them continuously.
How Spacelift blends AI experimentation with GitOps governance
Artificial intelligence adoption has been rapid and sometimes ungoverned, forcing infrastructure teams to respond quickly. Spacelift Inc. provides an infrastructure-as-code management platform that helps organizations automate and streamline their workloads, AI or otherwise. The infrastructure orchestration platform creates predefined cloud workflows while meeting compliance requirements. "The speed at which developers are adopting AI to assist with [...] The post How Spacelift blends AI experimentation with GitOps governance appeared first on SiliconANGLE.
Okta expands Google Cloud partnership to secure AI agents and the browser
Okta Inc. today expanded its partnership with Google LLC's Google Cloud with a set of integrations that bring identity governance to artificial intelligence agents and tighten security across the Chrome browser. The deal pairs Okta's identity layer with Google Cloud's Gemini Enterprise Agent Platform and Chrome Enterprise. Enterprises now manage swarms of AI agents the [...] The post Okta expands Google Cloud partnership to secure AI agents and the browser appeared first on SiliconANGLE.
What to expect at AWS Summit NYC: Join theCUBE June 18
Agentic artificial intelligence is moving beyond experimentation as enterprises look to deploy autonomous systems across business workflows. But data bottlenecks, legacy infrastructure and governance challenges continue to slow adoption - gaps Amazon Web Services Inc. aims to address and a topic sure to be discussed at AWS Summit NYC. "AWS Summit New York won't be [...] The post What to expect at AWS Summit NYC: Join theCUBE June 18 appeared first on SiliconANGLE.
All the news about Anthropic's new AI fight with the White House
Anthropic was already navigating one dispute with the government in its standoff with the Pentagon, and then came an order on June 12th to block off foreign access to its most recently released AI models, Fable 5 and Mythos 5. When they launched on June 9th, Anthropic said "Fable 5's capabilities exceed those of any model we've ever made generally available," and that Claude Mythos 5 had the same underlying model, "but with the safeguards lifted in some areas." According to reports, the order came after conversations between Amazon and the White House about researchers saying they found ways t
Trump's Anthropic shutdown just made the case for non-American AI
At Washington's request, Anthropic suddenly took its newest and most powerful AI models offline over the weekend. The American company said it had little choice after the White House demanded it block access for all foreign nationals, including its own employees. Abroad, the incident offered a sobering reminder that the US not only dominates frontier AI - its government also wields power over who gets to use it. The Trump administration's action was swift, sweeping, and imposed with little warning or explanation. The unprecedented shutdown of the Fable 5 and Mythos 5 models - which were alread
Big Tech's desperate last push at AI regulation
U.S. Sen. Marsha Blackburn (R-TN) and Majority Leader Chuck Schumer (D-NY) arrive for a news conference with bipartisan senators on passage of the Online Privacy Protection Act at the Capitol on July 30, 2024 in Washington, DC. | Kent Nishimura/Getty Images. For months, Big Tech's Washington lobbyists have chased after the holy grail of pro-AI legislation: preemption. This would be a comprehensive federal law, passed in Congress and signed by the president, applying one set of AI rules across the entire country and overriding the legally messy state-by-state approach to regulation. For months,
10 best practices for optimizing generative and agentic AI costs
As enterprises scale initiatives, the cost of developing, deploying and operating generative artificial intelligence models rises significantly. The shift toward AI agents can further increase costs becausse of poor architecture, limited operational maturity and weak governance. Information technology leaders can adopt these 10 best practices for optimizing costs, enabling them to achieve quicker business value [...] The post 10 best practices for optimizing generative and agentic AI costs appeared first on SiliconANGLE.
China may have accessed Mythos
A report from Semafor says the White House's decision to impose export restrictions on Anthropic's Mythos AI was driven in part by fears that a China-linked group had accessed it. If the Chinese government had access to Mythos 5 or Fable 5, it would present a serious national security risk, including the possibility of reverse engineering the model through distillation. The White House has not confirmed the report, and Anthropic told Semafor that the government did not raise China during export-control discussions.
Amazon security research reportedly led to the White House's Anthropic Fable ban
According to the Wall Street Journal, the export control directive that led Anthropic to cut off access to Fable 5 and Mythos 5 was triggered in part by cybersecurity research from Amazon and conversations between Amazon CEO Andy Jassy and the White House. Amazon's paper reportedly claimed it used a series of prompts to get Fable 5 to produce information usable in cyberattacks. Anthropic disputes the characterization as a jailbreak, some security researchers back the company, and the episode adds to ongoing friction between Anthropic and the Trump administration.
Anthropic cuts off Fable 5 and Mythos 5 access following government order
The US government issued an export control directive on Friday evening ordering Anthropic to block access to its Fable 5 and Mythos 5 models for all foreign nationals, inside and outside the US, citing national security concerns. To comply, Anthropic completely cut off access to the models for all customers, including its own employees. Anthropic said it complied but stated the government did not provide specific details of the concern, gave any jailbreak evidence only verbally, and described the disclosed vulnerabilities as minor and available through other models such as GPT 5.5.
Datadog sees tagging and model governance as the foundation of AI cost management
Datadog's senior FinOps analyst Deeja Cruz argues that strong tagging, model selection governance and cross-team collaboration are the foundations of effective AI cost management. Speaking with theCUBE at FinOps X 2026, Cruz says AI cost management brings new taxonomy to FinOps but the core discipline of understanding what you use, why and what it costs stays the same. She shares a practical example of practitioner-led AI use and describes how AI spend ownership emerged at Datadog through collaboration between FinOps and an internal AI developer experience team.
FinOps AI governance demands new KPIs as token economics reshape enterprise cost models
FinOps AI governance is being stress-tested as AI spending accelerates across enterprises, and familiar cost levers like tagging, rightsizing and reserved capacity are proving insufficient against a token-based cost model with opaque billing. Speaking at FinOps X 2026, SailPoint's senior staff FinOps analyst Victoria Levy says new KPIs such as cost per token will emerge and eventually converge on useful, outcome-based metrics. She argues that automation and enforcement, plus cross-functional collaboration among finance, engineering and security, are essential to controlling AI costs at scale.
AWS launches FinOps agent to bring AI cost governance to cloud spend
AWS launched a FinOps agent in a feature preview at FinOps X 2026 to bring AI cost governance and real-time anomaly detection to cloud spending. The autonomous agent monitors cloud costs, detects anomalies, performs root-cause analysis, and routes alerts to responsible teams via Slack or Jira without waiting for end-of-month reports. AWS cost management director Jerry Rapisarda explained that AI costs are non-deterministic and require tying spend to business outcomes through unit economics.
AI value creation meets cost accountability as FinOps evolves beyond cloud
This SiliconANGLE report covers how FinOps, the practice of financial accountability for technology spending, is expanding beyond cloud cost management to address AI costs. At FinOps X 2026, SoftwareOne leaders Trent Allgood and Parker Nancollas explained that organizations are now trying to balance AI value creation with cost control. A key challenge is that AI models can enter and leave production in as little as 60 days, breaking the budgeting and forecasting habits FinOps teams built for slower-changing cloud and on-premises systems.
Anthropic's Dario Amodei wants governments to have the power to block 'dangerous' AI systems
Anthropic CEO Dario Amodei called on the U.S. government to be able to block the deployment of dangerous AI models, comparing the approach to how unsafe airplanes are kept from flying. In a post on his personal blog, he proposed mandatory third-party audits of frontier AI systems and government power to shut them down if unacceptable risks are found. His proposal goes further than President Trump's June 2 executive order, which encouraged voluntary model sharing. Some analysts were skeptical of his motives.
Automated governance is FinOps' next frontier as AI spend spreads beyond engineering
As AI tools put spending power into the hands of sales, finance and executive teams, cloud cost control is no longer just an engineering problem. At FinOps X 2026, Kion senior product manager Tatum Tummins told theCUBE that automated governance is FinOps' next frontier. He argued that organizations need real, policy-driven controls over AI spend, not just dashboards, using soft caps and human-in-the-loop approval workflows to keep innovation from becoming financial liability.
FinOps AI goes beyond token economics as agentic costs emerge
As FinOps AI strategies emerge, the traditional cloud cost management approach is breaking down, and organizations that do not adapt risk runaway spending on workloads they barely understand. Pravir Gupta of Google Cloud argues that token economics is only part of the AI cost picture, since agents trigger adjacent costs such as virtual machines, cache storage and retrieval pipelines. Google itself reports $30 million in savings after applying an orchestrating agent to supplier invoice reconciliation.
The future of AI regulation is courting the strangest, most anxious bedfellows
AI regulation has become one of the defining political battles of the 2026 midterms, drawing together an unusual cast of senators, billionaire-funded super PACs, AI safety advocates, and anxious voters. The Washington AI Network's second annual AI Honors gala, held June 3, 2026, put that tension on display by celebrating bipartisan lawmakers and industry figures even as polling showed 70 percent of Americans worried about AI's role in elections. The central fight is whether the federal government sets one national rulebook for AI or whether individual states keep writing their own laws.
Best AI Governance Tools for Enterprise-Grade Compliance
The n8n Blog compares eight AI governance platforms that help large companies keep AI systems secure, transparent, and accountable as the technology moves from testing into live production. The lineup includes Credo AI, IBM watsonx.governance, Holistic AI, Collibra, OneTrust, Fiddler AI, Monitaur, and n8n itself for workflow controls. Each tool maps to rules such as the EU AI Act, NIST AI RMF, and NYC Local Law 144, and the guide explains how to pick one based on model inventory, audit evidence, and how deeply the tool plugs into a company's existing systems.
The intelligence layer emerges as the control plane for enterprise AI
As enterprises move from AI experimentation into full-scale production, the challenge has shifted from accessing models to managing the organizational context agents need to act reliably. Speaking at FinOps X 2026, Microsoft's Cyril Belikoff argued that companies need a single intelligence layer trained once on who they are and how they work. Microsoft's answer is Microsoft IQ, paired with governance tools like Agent 365 and controls embedded in GitHub Copilot.
Cloud CISO Perspectives: How to build an AI-ready security program for the public sector
In this Cloud CISO Perspectives newsletter, Usman Chaudhary, Field CISO for Google Public Sector, lays out how security leaders at government agencies and critical infrastructure operators can build an AI-ready security program. The guide stresses moving past reactive measures, reducing administrative toil first, and then shifting toward posture elevation, proactive hunting, and structural integration over the next six to 12 months. It describes a mix of building custom internal workflows, buying commercial AI capabilities, and integrating them into an existing security stack.
South Africa Has AI Leverage. Its Draft Policy Leaves It Unused
This IEEE Spectrum piece, adapted from Tech Policy Press, argues that South Africa holds rare bargaining power over AI infrastructure but is failing to use it. The country controls most of the world's platinum-group metal reserves, hosts Africa's largest data-center market, and sits at the center of a US-China contest over AI infrastructure. The author contends its withdrawn draft AI policy treats South Africa as a consumer rather than a stakeholder, leaving its bargaining power unused.
Thermal Cameras and AI Help Ships Steer Clear of Gray Whales
A collaboration of government agencies and scientists launched an AI-based whale detection system in San Francisco Bay on 19 May to reduce deadly ship strikes on gray whales. Developed by WhaleSpotter, the system uses an AI model to spot whales in thermal camera footage from Angel Island, with a human verifying each detection before nearby ships are warned. The Bay has become a dangerous new stop for gray whales, with ship strikes causing many recent deaths. Researchers also plan to use the data to study the whales and add a ferry-mounted camera for fuller coverage.
Reclaiming Social Engineering for Good
This essay argues that social engineering, now associated mainly with phishing scams, has a much older and more benign meaning: the deliberate shaping of human behavior at scale. It traces the term from early industrialists who wanted to manage human systems as carefully as machines, through its corruption by authoritarian regimes, to its modern reappearance under softer labels like personalization and behavioral nudges. The author calls for reclaiming the name and governing the practice openly.