Skill Recorder creates a foundation for AI to understand workflows, recommend improvements, and ultimately automate workflows, for on-demand or scheduled use cases.
governance
Identity management, data loss prevention tools work together to ensure every AI agent action can be traced to the entity that triggered it for accountability.
Let agents discover and reason through the work, move repeatable parts into deterministic automation, and then use the agent as a supervisor and exception handler.
Even with strong partner support, AI operating in silos will yield disconnected workstreams due to the lack of a single point of governance and accountability.
Developers now have three harnesses to choose from, selecting the best option and model for the required tasks while also factoring in cost considerations.
Certification paths combined with AI platform-wide bet on governance steer customers to adopt existing frameworks and avoid creating technical debt.
Project Perception scales vulnerability discovery for today’s AI-powered threats. Initially available in Defender, Perception will extend across the company’s security lineup.
As defined by Databricks, a context decides what an agent sees, in what form, at what fidelity, and at what moment to ensure it performs its intended tasks.
Upgrades include automatically created documents and files, as well as interactive reports. Approvals and other repeatable work can be handled through automation.
New security features include agent inventory, threat detection for core AI tools, and automated investigations that isolate legitimate threats at scale.
Purview, Defender, and Graph API are all being enhanced to bring agents running on end-user devices under unified governance ‘control plane.’
The simultaneous maturation of skill, governance, and pricing mirrors the evolution of cloud infrastructure; no major rebuild is required for Microsoft customers.
Microsoft enhancements to key security platforms bring shadow AI and other app/data types under unified controls with the rest of the corporate data estate.
From intrusion detection analysis to security policy enforcement, customers report low confidence in agentic AI to help protect against today’s threats.
Everyday users can still benefit from Copilot and Claude, but heavy-duty, long-running AI tasks should be managed by experts who understand how to optimize AI usage.
Partners that can deliver governance, optimized workflows, and trust will help customers overcome growing concerns over control, AI profits, and regulatory factors.
Financial disclosures and spend controls for customers highlight a key point: AI winners apply cost models and strict governance; reactively managing costs is a losing proposition.
Big automaker delivers painful but useful lessons: AI can’t replace humans in roles that require complex human judgment. Plus, a fully baked plan is a baseline requirement for AI success.
With backers including Anthropic, Google, Microsoft, and JPMorgan Chase, Akrites coordinates disclosure and remediation as discovery of open-source vulnerabilities in the AI era is outrunning defense.
Addition to the company’s governance control plan eliminates a wide range of manual steps required to transition an agent from local usage to enterprise availability.