Analysis on enterprise AI governance, inline policy enforcement, agentic AI security, and regulatory compliance.
Humanloop was an LLM development platform for prompt management, evaluation, and monitoring. Anthropic acqui-hired the team in 2025 and the platform sunset on September 8, 2025. DeepInspect is a proxy that decides whether a model call proceeds based on identity and records the decision. This is an honest read on what replaces Humanloop and where a runtime enforcement layer fits.
Read post →Holistic AI is an enterprise AI governance platform: AI discovery, risk assessment, compliance mapping, and a Guardian Agents layer that supervises and intervenes on agent behavior. DeepInspect is a proxy that decides whether a model call proceeds based on identity and records the decision. This walks what each one owns, a feature table, and why program governance and request-layer enforcement answer different questions.
Read post →Fiddler is an AI observability platform with a runtime guardrails layer that enforces content policies in under 80ms and a control plane for agentic systems. DeepInspect is a proxy that decides whether a model call proceeds based on identity and records the decision. This walks the architecture of each, a feature table, and where content guardrails and identity-bound authorization diverge.
Read post →Athina is a collaborative platform for building, evaluating, and monitoring LLM apps: a prompt IDE, 50-plus preset evals, and production logging. DeepInspect is a proxy that decides whether a model call proceeds based on identity and records the decision. This walks the architecture of each, a feature table, and where evaluation-plus-observability and identity-bound authorization diverge.
Arthur is an AI observability and guardrails platform that monitors models and agents, checks content for PII and hallucination, and discovers AI across an environment. DeepInspect is a proxy that decides whether a model call proceeds based on identity and records the decision. This walks the architecture of each, a feature table, and where content guardrails and identity-bound authorization diverge.
Read post →The AI Firewall that defined the category is now part of Cisco AI Defense, which pairs pre-deployment validation with runtime protection against prompt injection and data leakage. DeepInspect is a proxy that decides whether a model call proceeds based on identity and records the decision. This walks the architecture of each, a feature table, and where content protection and identity-bound authorization diverge.
Read post →Promptfoo is an open-source CLI and library for evaluating and red-teaming LLM applications with YAML configs, dozens of attack plugins, and CI/CD hooks, acquired by OpenAI in 2025. DeepInspect is a proxy that decides whether a model call proceeds in production and records the decision. This walks the architecture of each, a feature table, and why a red-teaming tool and an enforcement layer sit at opposite ends of the timeline.
Read post →Patronus AI evaluates LLM and agent output with automated evaluators like Lynx for hallucination detection, plus guardrails and a self-serve API. DeepInspect is a proxy that decides whether a model call proceeds based on identity and records the decision. This walks the architecture of each, a feature table, and where output evaluation and identity-bound authorization stop overlapping.
Read post →Dynamo AI pairs DynamoEval for model assessment with DynamoGuard, a runtime guardrail engine that ships pre-built content models mapped to regulations like the EU AI Act. DeepInspect is a proxy that decides whether a model call proceeds based on identity and records the decision. This walks the architecture of each, a feature table, and where content guardrails and identity-bound authorization diverge.
Read post →Giskard is an open-source testing framework that generates adversarial cases to surface hallucinations, prompt injection, and data disclosure in models before they ship, with a Hub for team collaboration. DeepInspect is a proxy that decides whether a model call proceeds in production and records the decision. This walks the architecture of each, a feature table, and why a scanner and an enforcement layer occupy different points in the lifecycle.
Read post →DeepEval is an open-source, pytest-native LLM evaluation framework that runs metric checks in CI before you ship. DeepInspect is a proxy that decides whether a model call proceeds in production and records the decision. This walks the architecture of each, a feature table, and why a test suite and an enforcement layer sit at opposite ends of the deployment timeline.
Read post →Credo AI is a governance platform: an AI registry, policy packs for the EU AI Act and NIST AI RMF, risk assessments, and audit-ready documentation workflows. DeepInspect is a runtime proxy that decides whether a model call proceeds and records the decision. This walks what each one owns in a compliance program, a feature table, and why a governance registry and an enforcement layer answer different questions.
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