Microsoft unveils IQ platform and hosted agents at Build 2026

Microsoft's autonomy in AI development could reshape the tech landscape, intensifying competition and impacting AI and crypto market dynamics. The post Microsoft gains autonomy from OpenAI to pursue superintelligence on its own terms appeared first on Crypto Briefing.

Hoffman's shift from Microsoft's board to AI drug discovery highlights a growing trend of tech leaders prioritizing health innovation. The post Reid Hoffman to leave Microsoft board to focus on AI drug discovery startup Manas AI appeared first on Crypto Briefing.

Researchers say prompt injection attacks could manipulate AI coding agents to access sensitive credentials stored in software development pipelines.

AI industry leaders jointly petition Congress on bioweapons threat. Dario Amodei, Sam Altman, Mustafa Suleyman urge synthetic material regulations amid AI advancement concerns.

Why it matters: Agent 365 gives every AI agent an identity, a registry, and real oversight. See pricing, security architecture, rollout steps, and the gaps it leaves open.

The LinkedIn co-founder was a key bridge to Microsoft’s relationship with OpenAI, but he also came with some baggage.

GitHub is expanding Copilot beyond the IDE with a new desktop application and a new collaborative work surface called canvas as part of its broader efforts to pitch the AI-assisted coding tool as the control center for agent-native software development. The desktop application announced at Microsoft’s annual Build conference this week is designed to give developers a dedicated environment for working with AI agents throughout the software development lifecycle, rather than limiting those interactions to code-generation tasks inside an editor, the company wrote in a blog post. The application includes a collaborative workspace called canvas where developers can brainstorm ideas, refine requirements, generate plans, and iterate on projects alongside AI, it said. It also has new Agent Merge and code review features that enable developers to automate Copilot to combine tasks of different agents to complete a specific goal or conduct autonomous code reviews according to set standards, it sa

Microsoft has identified seven new failure modes in agentic AI systems, in addition to those it identified last year in its first Taxonomy of Failure Modes in Agentic AI Systems. Four things contributed to the growing list of ways agentic AI can go wrong: the speed at which the technology went mainstream, the growing maturity of the Model Context Protocol (MCP) ecosystem, the rise of computer-use agents, and finally the gathering of more empirical evidence as researchers obtained more real-life findings. The seven new failure modes it has identified are: Agentic Supply Chain Compromise —agent behavior can be affected by natural language rather than malicious code; Goal Hijacking — adversarial instructions appear aligned with legitimate task completion, while silently redirecting the agent’s terminal goal; Inter-Agent Trust Escalation —a compromised agent asserts false identity or inflates claimed permissions to an orchestrator; Computer Use Agent (CUA) Visual Attack — agents operating