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Every AI development we have covered, newest first. Filter by section to focus on what matters to you.

The RegisterEnterprise

No longer just a Copilot, Microsoft's AI wants to take the wheel

Microsoft is expanding its Copilot AI capabilities beyond assistive chat toward always-on autonomous agentic workflows designed to execute tasks independently across enterprise systems. According to report details, these autonomous agents require broad access to organizational data and administrative privileges to sustain continuous operations, shifting the software paradigm from human-in-the-loop assistance to automated delegation.

47/100Intel Score, moderate impact
The RegisterEnterprise

ServiceNow clears agents for landing with new AI control tower

ServiceNow is rolling out an AI control tower capability designed to supervise, observe, and manage autonomous AI agents and enterprise workflows. The platform capability incorporates technology from ServiceNow acquisitions Veza and Traceloop, delivering centralized observability alongside governance controls, including kill switches to halt malfunctioning or unauthorized agents. The tooling aims to give enterprise IT and security teams visibility into agent permissions, operational activity, and execution pathways.

45/100Intel Score, moderate impact
The RegisterBusiness

CIOs ready for another role-change as AI becomes agent of chaos

According to analysis from research firm Forrester, the rapid deployment of autonomous AI coding agents and automated software development introduces severe risks of systematic failure at scale. As AI tools increasingly write and deploy code with minimal human oversight, enterprise Chief Information Officers are expected to assume direct governance over autonomous systems to mitigate technical debt, reliability breakdowns, and security vulnerabilities across organizational IT estates.

49/100Intel Score, moderate impact
Google DeepMindResearch

Protecting people from harmful manipulation

Google DeepMind has published research examining the risks of AI-driven manipulation in sensitive domains such as personal finance and healthcare. The study assesses how conversational and generative systems could influence human decision-making in potentially deceptive or coercive ways. In response to these findings, DeepMind outlined new safety evaluations and mitigation measures intended to detect and curb manipulative model behaviors across its AI systems.

55/100Intel Score, high impact
NIST AIEnterprise

Announcing the "AI Agent Standards Initiative" for Interoperable and Secure Innovation

The National Institute of Standards and Technology (NIST) has announced the launch of the AI Agent Standards Initiative. According to NIST, the initiative aims to foster secure, reliable, and interoperable autonomous artificial intelligence systems across the digital ecosystem. The effort focuses on establishing technical standards and frameworks to ensure future AI agents can execute tasks safely on behalf of users while maintaining cross-platform compatibility and enterprise security standards.

50/100Intel Score, high impact
NIST AIEnterprise

CAISI Issues Request for Information About Securing AI Agent Systems

The Center for AI Standards and Innovation (CAISI) at the U.S. National Institute of Standards and Technology (NIST) has issued a Request for Information (RFI) focused on securing AI agent systems. The initiative solicits technical input from industry stakeholders, academic researchers, and cybersecurity professionals to identify security vulnerabilities, governance challenges, and defensive standards for autonomous and agentic artificial intelligence workflows. The submitted evidence will inform future federal risk management frameworks and technical evaluation guidance.

41/100Intel Score, moderate impact
NIST AIEnterprise

NIST Launches Centers for AI in Manufacturing and Critical Infrastructure

The National Institute of Standards and Technology (NIST) has announced the establishment of dedicated centers focused on artificial intelligence adoption across manufacturing and critical infrastructure sectors. Operating in expanded partnership with the nonprofit MITRE Corporation, the initiative is designed to support U.S. technical leadership and promote the secure, reliable integration of AI technologies into foundational domestic industries and operational environments.

41/100Intel Score, moderate impact
NIST AIEnterprise

Draft NIST Guidelines Rethink Cybersecurity for the AI Era

The National Institute of Standards and Technology released draft guidelines designed to help organizations incorporate artificial intelligence into their operations while mitigating associated cybersecurity risks. The draft publication outlines practical approaches for identifying, assessing, and managing security vulnerabilities unique to AI deployments, aiming to adapt traditional cybersecurity frameworks to address novel threat vectors introduced by enterprise artificial intelligence adoption.

67/100Intel Score, high impact
NIST AIModels

CAISI Evaluation of DeepSeek AI Models Finds Shortcomings and Risks

The U.S. National Institute of Standards and Technology's Center for AI Standards and Innovation (CAISI) has released an official evaluation of multiple artificial intelligence models from China-based DeepSeek. The assessment highlights specific technical shortcomings, safety risks, and performance limitations. This review provides an authoritative U.S. government technical analysis regarding the operational reliability and risk profiles of DeepSeek's widely used model portfolio.

67/100Intel Score, high impact