October 2026 Summaries

AI agents complicate SOC 2 CC6 and CC7 and ISO 27001 access-control evidence because they can act continuously, use delegated credentials, chain tools, and trigger side effects that are not fully captured by traditional login, OAuth, or shared-service-account logs. The article argues that organizations should preserve OAuth for authentication and delegation but enforce deterministic authorization at the actual action boundary, such as an MCP tool call, API endpoint, workflow step, or data operation. It recommends assigning distinct identities to agents, recording their human or service delegators, explicitly managing and periodically reviewing agent entitlements, identifying privileged tools, and requiring approvals for high-risk actions. To support controls covering logical access, monitoring, privileged access, and logging, organizations should retain decision-level records containing the agent, delegator, resource, action, policy version, context, approval status, and allow-or-deny outcome, with links to broader application and SIEM logs. The proposed architecture combines RBAC, ABAC, and relationship-based policies with a policy decision point near the side effect, real-time policy updates, and auditable approval workflows, while emphasizing that such an authorization layer supports compliance evidence rather than independently guaranteeing SOC 2 or ISO 27001 certification.