Security
insights
Filtered field notes for Security work, newest first.
Securing Packages, Container Images, and SBOMs
Build a traceable and verifiable software supply chain across dependencies, container images, and SBOM operations.
Designing Fine-Grained Authorization for Enterprise APIs
Enterprise API authorization must control not only which endpoint may be called, but also which records, fields, and business states are accessible.
Auditing Dormant and Overprivileged Service Accounts
A practical method for inventorying machine identities, validating real usage, and reducing access without disrupting production systems.
API Keys, OAuth, and Service Accounts: Drawing the Right Identity Boundaries
A practical framework for choosing and governing API keys, OAuth tokens, and service accounts across enterprise integrations.
Encryption and Key Management Checks Before Cloud Data Landing
A practical engineering checklist for choosing encryption boundaries, controlling keys, and validating recovery before cloud ingestion.
Beyond Shared Folders: Document Classification and Access Logging for Enterprise Knowledge Bases
A practical engineering guide to classification, authorization inheritance, RAG controls, and useful audit trails for enterprise knowledge bases.
Where to Place Prompt Injection Defenses
Prompt injection is not solved by one filter; this guide places controls across ingestion, RAG, tool execution, output, and operations.
Threat Modeling Before Connecting AI Assistants to Internal Systems
A practical framework for defining trust boundaries, permissions, abuse paths, and failure controls before an AI assistant can access enterprise systems.
Designing Audit Trails and Traceability for AI Output
AI systems need evidence chains that explain how an output was produced, what data shaped it, and who acted on it.
The Security Baseline for Enterprise AI
Before scaling enterprise AI, define data boundaries, identity controls, model/vendor rules, and auditability as engineering requirements.
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