Resources for proof-backed AI security.
Explore Telhawk's thinking on AI security validation, API authorization, AI agent risk, remediation, and proof-backed security methodology.
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Practical security observations on AI-generated code, vulnerability validation, remediation backlogs, and modern AppSec workflows.
Why raw AI findings need proof, prioritization, remediation context, and validation before teams can act with confidence.
Guidance on tenant boundaries, object ownership, role permissions, sensitive API actions, and cross-customer exposure risk.
Security considerations for AI agents, MCP servers, tools, connectors, RAG workflows, prompt injection, and excessive autonomy.
How Telhawk and Galen move from finding discovery to proof, remediation guidance, validation, and audit-ready reporting.