AI Usage Monitoring: Requests, Identity, and Shadow AI
AI usage monitoring records who sends which prompt to which approved or shadow AI service, then preserves the policy decision for investigation.
Read post →Analysis on enterprise AI governance, inline policy enforcement, agentic AI security, and regulatory compliance.
AI usage monitoring records who sends which prompt to which approved or shadow AI service, then preserves the policy decision for investigation.
Read post →Use a prompt scanner to inspect text for PII, secrets, and injection signals before an LLM receives it, then review the evidence and set a policy.
Read post →Compare six HiddenLayer alternatives by AI security layer, including model scanning, red teaming, runtime guardrails, and HTTP policy enforcement.
Read post →Compare six Nightfall AI alternatives for browser, SaaS, Microsoft 365, data posture, and routed HTTP LLM requests.
Read post →Noma Security alternatives differ by job: AI-SPM for agent inventory, runtime controls for agent behavior, or HTTP policy enforcement for LLM calls.
Set up an Anthropic gateway for Claude API traffic with TLS termination, IP allowlists, SSE error handling, MCP policy, and decision-level audits.
Read post →LLM fallback routing sends failed requests to an approved provider, preserves one audit trail, and stops policy denials before they reach another model.
Read post →Compare 6 Portkey alternatives for AI gateways, LLM observability, multi-provider routing, and audit-ready policy enforcement.
Read post →OpenAI Agent Builder security controls for prompt injection, untrusted data, structured outputs, MCP tool approvals, and request authorization.
Full walk-through of ISO 42001 Annex A: 38 controls, 9 areas, deployment layers, and auditor-accepted evidence artifacts.
Read post →GDPR Article 22 limits solely automated decisions with legal effects. The meaningful-human-review test and the audit record that survives.
Read post →EU AI Act Article 99 fines: the €35M/€15M/€7.5M tiers, the exact articles behind each, and the higher-of and SME lower-of rules.
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