<?xml version="1.0" encoding="UTF-8"?><feed xmlns="http://www.w3.org/2005/Atom"><title>Open Executive Intelligence Index</title><id>https://openfutureforum.github.io/executive-intelligence-index/</id><updated>2026-08-14T00:00:00-07:00</updated><link href="https://openfutureforum.github.io/executive-intelligence-index/feed.xml" rel="self"/><subtitle>Recently published reviewed records.</subtitle><entry><title>AI Agent Authentication and Authorization</title><id>urn:oeii:source-BATCH-2026-005-003</id><updated>2026-06-01T00:00:00Z</updated><summary>Accepted discovery candidate candidate-BATCH-2026-001-009; contributes standards document; Internet-Draft evidence or normative context to governed AI-agent identity.</summary></entry><entry><title>Summary Analysis of Responses to the Request for Information Regarding Security Considerations for AI Agents</title><id>urn:oeii:source-BATCH-2026-005-001</id><updated>2026-05-18T00:00:00Z</updated><summary>Accepted discovery candidate candidate-BATCH-2026-001-005; contributes government report evidence or normative context to governed AI-agent identity.</summary></entry><entry><title>#390 - Identity Management for Agentic AI with Tobin South</title><id>urn:oeii:source-idac-390-agentic-ai-identity</id><updated>2025-12-08T00:00:00Z</updated><summary>Tobin South explains why AI agents strain identity systems designed for deterministic users and applications. The discussion separates impersonation from delegated authority, argues that agents need identities and credentials distinct from the people who invoke them, and connects governance to bounded scopes, traceable delegation chains, oversight, and responsibility for actions. South treats standards work as necessary infrastructure for both consumer assistants and enterprise deployments, while also describing Model Context Protocol as an interoperability layer whose security properties still depend on authentication and authorization. The episode&apos;s practical emphasis is that identity teams should prepare policies and architectures before agent adoption becomes widespread, without assuming current protocols or shared user credentials are adequate.</summary></entry><entry><title>Governing AI agents with Agent Identity Security</title><id>urn:oeii:source-sailpoint-governing-ai-agents-2025</id><updated>2025-11-20T00:00:00Z</updated><summary>Amy Shillinglaw presents SailPoint&apos;s model for governing AI agents as identities whose behavior combines machine execution with human-like autonomy. She separates inbound authorization—who may invoke an agent—from outbound authorization—what resources the agent may use for that person—and frames inventory, tool correlation, human ownership, succession, and dual-sided certification as the control sequence. A product demonstration shows how those ideas are represented in SailPoint&apos;s platform, including user entitlements, machine-account correlation, and access reviews. The session also identifies risks such as runaway subtasks, compromised code or credentials, poisoned data, and poor explainability. Because this is a vendor webinar, the record supports product and practitioner claims, not independent performance findings.</summary></entry><entry><title>Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents</title><id>urn:oeii:source-BATCH-2026-005-007</id><updated>2024-10-03T00:00:00Z</updated><summary>Accepted discovery candidate candidate-BATCH-2026-001-054; contributes conference paper; acceptance marker verified in version, venue record not independently retrieved evidence or normative context to governed AI-agent identity.</summary></entry><entry><title>AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents</title><id>urn:oeii:source-BATCH-2026-005-006</id><updated>2024-06-19T00:00:00Z</updated><summary>Accepted discovery candidate candidate-BATCH-2026-001-050; contributes peer-reviewed conference paper evidence or normative context to governed AI-agent identity.</summary></entry><entry><title>Teams of LLM Agents can Exploit Zero-Day Vulnerabilities</title><id>urn:oeii:source-BATCH-2026-005-008</id><updated>2024-06-02T00:00:00Z</updated><summary>Accepted discovery candidate candidate-BATCH-2026-001-058; contributes preprint evidence or normative context to governed AI-agent identity.</summary></entry><entry><title>Solving the Bottom Turtle: A SPIFFE Way to Establish Trust in Your Infrastructure via Universal Identity</title><id>urn:oeii:source-BATCH-2026-003-001</id><updated>2020-11-17T00:00:00Z</updated><summary>A practitioner book explaining SPIFFE and SPIRE as an architecture for workload identity, attestation, trust domains, deployment, integration, authorization, and operational adoption.</summary></entry><entry><title>Introducing our new book Building Secure and Reliable Systems</title><id>urn:oeii:related-source-BATCH-2026-002-005</id><updated>2020-04-08T00:00:00Z</updated><summary>Official launch essay related to book-work-BATCH-2026-002-005.</summary></entry><entry><title>Learn to build secure and reliable systems with a new book from Google</title><id>urn:oeii:related-source-BATCH-2026-002-006</id><updated>2020-04-08T00:00:00Z</updated><summary>Author launch essay related to book-work-BATCH-2026-002-005.</summary></entry><entry><title>Building Secure and Reliable Systems: Best Practices for Designing, Implementing, and Maintaining Systems</title><id>urn:oeii:source-BATCH-2026-003-002</id><updated>2020-04-08T00:00:00Z</updated><summary>A multi-author practitioner volume integrating security and reliability across design, implementation, deployment, incident response, recovery, organization, and culture.</summary></entry><entry><title>Zero Trust Networks — Audiobook</title><id>urn:oeii:related-source-BATCH-2026-002-002</id><updated>2026-08-14T00:00:00Z</updated><summary>Related format and narrator metadata for book-work-BATCH-2026-002-002.</summary></entry><entry><title>OAuth 2 in Action — Authorized Chapter 1 Preview</title><id>urn:oeii:related-source-BATCH-2026-002-003</id><updated>2026-08-14T00:00:00Z</updated><summary>Limited authorized preview related to book-work-BATCH-2026-002-003.</summary></entry><entry><title>API Security in Action — Official Contents</title><id>urn:oeii:related-source-BATCH-2026-002-004</id><updated>2026-08-14T00:00:00Z</updated><summary>Official contents related to book-work-BATCH-2026-002-004.</summary></entry><entry><title>Identity in Modern Applications — Official Contents and Preview</title><id>urn:oeii:related-source-BATCH-2026-002-007</id><updated>2026-08-14T00:00:00Z</updated><summary>Official preview related to book-work-BATCH-2026-002-006.</summary></entry><entry><title>Identity-Native Infrastructure Access Management — Preface</title><id>urn:oeii:related-source-BATCH-2026-002-009</id><updated>2026-08-14T00:00:00Z</updated><summary>Official preface related to book-work-BATCH-2026-002-009.</summary></entry><entry><title>Building Secure and Reliable Systems — Official Complete HTML</title><id>urn:oeii:related-source-BATCH-2026-002-010</id><updated>2026-08-14T00:00:00Z</updated><summary>Official complete text access point; reuse license not established.</summary></entry><entry><title>Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile</title><id>urn:oeii:source-BATCH-2026-005-002</id><updated>2026-08-14T00:00:00Z</updated><summary>Accepted discovery candidate candidate-BATCH-2026-001-007; contributes government standards profile evidence or normative context to governed AI-agent identity.</summary></entry><entry><title>Identity Management for Agentic AI</title><id>urn:oeii:source-BATCH-2026-005-004</id><updated>2026-08-14T00:00:00Z</updated><summary>Accepted discovery candidate candidate-BATCH-2026-001-027; contributes nonprofit/company white paper evidence or normative context to governed AI-agent identity.</summary></entry><entry><title>Practices for Governing Agentic AI Systems</title><id>urn:oeii:source-BATCH-2026-005-009</id><updated>2026-08-14T00:00:00Z</updated><summary>Accepted discovery candidate candidate-BATCH-2026-001-085; contributes company white paper and policy analysis evidence or normative context to governed AI-agent identity.</summary></entry></feed>