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What Agent Plugins Standardizes—and What It Does Not: Portability for Agent Skills and MCP Configuration
Conformance to a common format does not guarantee the same behavior on another product. Separating what Agent Plugins 1.0.0 standardizes from what remains product- or organization-specific.
Bedrock Data's Agent DLP: Access Scope and Runtime Control
Permission settings tell you what an identity can reach. Runtime control tells you what a given tool call actually sent and received. Two controls worth keeping apart.
EU AI Act Becomes Generally Applicable: Key Annex III High-Risk Obligations Deferred to 2027
The AI Act became generally applicable on 2 August 2026, and the transparency obligations now apply. With key Annex III high-risk obligations deferred to December 2027, here is how the two timelines separate.
What GhostApproval Reveals About Approval Screens in AI Coding Agents
Having an approval screen and giving the approver a meaningful decision are two different things. A look at the blind spot GhostApproval revealed in AI coding agents' approval design.
73% of AI-Using Small Businesses Report an Impact on Employee Roles — What a U.S. Survey of 750 Owners and Operators Shows
73% reported an impact on roles and responsibilities, 70% on performance expectations — separating what the survey shows from what it does not.
Designing for Continuity When AI Models Change
The problem is not that models change, but an architecture that has to be rebuilt each time they do.
HubSpot Agent Hub and the Challenge of Shared Customer Context
The more agents you deploy, the easier it is for their views of the customer to diverge. HubSpot's announcement is a starting point for examining what shared customer state actually requires.
Before Using AI to Speed Up a Process: Is It Ready for Automation?
AI adoption is not a binary choice between full automation and fully manual work. Depending on the process, the right next step may be to retire, standardize, assist, or automate.
Stronger AI Governance Without More Case-by-Case Approval: What PwC's 2026 Study Suggests
Case-by-case approval is only one form of control. AI governance can also rely on upfront rules, system-enforced limits, monitoring, and exception handling.