New features enhance positioning of Teams as a platform to support humans, agents working together to accelerate GitHub-powered dev projects.
security
Skill Recorder creates a foundation for AI to understand workflows, recommend improvements, and ultimately automate workflows, for on-demand or scheduled use cases.
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.
Certification paths combined with AI platform-wide bet on governance steer customers to adopt existing frameworks and avoid creating technical debt.
Data breaches hit hardest in healthcare and financial services, while the firms that tap AI most aggressively are focusing on hunting threats and automating attack responses.
Project Perception scales vulnerability discovery for today’s AI-powered threats. Initially available in Defender, Perception will extend across the company’s security lineup.
Fabric Apps automatically build a real database, working API, and authentication through existing Microsoft accounts. Plus, users can tap into their choice of AI coding tools.
New security features include agent inventory, threat detection for core AI tools, and automated investigations that isolate legitimate threats at scale.
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.
Customers are reporting high confidence levels in AI agents managing repeatable, measurable data tasks. The picture is less bright when it comes to cloud and AI workflows.
Partners that can deliver governance, optimized workflows, and trust will help customers overcome growing concerns over control, AI profits, and regulatory factors.
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.
Security blunders, failing to adhere to brand voice, and over-emphasizing outputs rather than results are three ways that sales and marketing teams can go awry with AI.
Copilot Cowork’s usage-based model is a clear indicator of the AI pricing model growing up, as Microsoft and other enterprise providers put a meter on coworkers.
Autopilots increase the level of AI autonomy and automation. Build event also places major focus on agentic AI development — and controls — at the desktop.
Support for Compliance API gives Purview visibility into conversations and events, bringing both data types in Claude under broader enterprise controls.
Features for controlling the actions of agents — ensuring they don’t misbehave — bring the enterprise-level controls required by IT/security pros and business leaders alike.






