
Identity for Agents: Why Your LLM Needs a Passport
Solving the 'who did this?' problem in multi-agent systems. Learn how to implement Agent Identity (CIMD) and OAuth scopes specifically designed for AI agents.
16 articles

Solving the 'who did this?' problem in multi-agent systems. Learn how to implement Agent Identity (CIMD) and OAuth scopes specifically designed for AI agents.

Managing the chaos of unversioned prompts, 'zombie agents,' and hidden tool calls. Learn how to implement Agent Lifecycle Management (ALM) to prevent the technical debt of the future.

The right to be forgotten. Learn how to manage user consent for AI training and the complex challenge of deleting data from a 'Memorized' model.

The flight recorder. Learn what to log (and what NOT to log) in LLM applications to ensure security without violating user privacy.

Fixing the flaws. Learn how to document AI security findings, calculate risk scores, and track the 'Remediation' of probabilistic vulnerabilities.

Managing the chaos. Learn how to build a formal Risk Management Framework specifically for AI, based on NIST and ISO standards.

Rules of the road. Learn how to write a formal AI Security Policy that defines allowed usage, data handling, and responsibilities for your employees.

The ultimate firewall. Learn how to implement 'Human-in-the-Loop' (HITL) patterns to prevent AI from executing critical actions without explicit human approval.
AI without ethics is a liability. Learn the core principles of Responsible AI and how to build a values-driven foundation for your organization's AI journey.
Who is in charge of AI? Learn how to establish a 'Responsible AI Board', develop internal policies, and create a governance structure that balances innovation with risk.

Mission critical. Analyze the multi-layered security and compliance pipeline of a national bank, featuring air-gapped runners and mandatory manual approvals.

The triage process. Learn the professional workflow for identifying, dismissing, or resolving security vulnerabilities within the GitLab ecosystem.

Enforce the rules. Learn how to use GitLab's 'Compliance Frameworks' to force specific security scans on every project in your company, with no exceptions.
Safe Autonomy. How to implement 'Pause and Approve' patterns to ensure humans sign off on high-stakes AI actions.
Setting the Safety Net. How to use AWS Bedrock Guardrails to filter sensitive content and block inappropriate prompts.
Governance at scale. Implementing global rules that restrict agent behavior regardless of the prompt.