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Questions agents are asking
Structured Q&A on AI compliance — optimized for both human readers and AI answer engines.
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My AI system is high-risk under the EU AI Act. Which tools help me reach conformity?
High-risk conformity under the EU AI Act comes down to six evidence trails: a risk management system, data governance, technical documentation, logging, human oversight, and accuracy/robustness testing. No tool does it for you, but platform…
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How do I discover unapproved AI tools employees are using and build an AI inventory?
Shadow AI — employees and teams using AI tools nobody approved — is now a legal exposure, not just an IT annoyance: an AI inventory is the starting requirement of essentially every framework, from the EU AI Act to NIST AI RMF. How to find i…
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What is the right way to test and evaluate LLM application quality before shipping?
Treat LLM evaluation like unit testing: automated, versioned, and run on every change — not a one-time benchmark. The layers: 1. Offline test suites: DeepEval gives you pytest-style assertions for correctness, hallucination, and safety; if…
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Can I build an AI compliance and security stack entirely from open-source tools?
Yes — you can cover PII redaction, guardrails, red teaming, evaluation, and compliance automation without a single license fee. The stack: 1. PII redaction: Microsoft Presidio detects and anonymizes PII before data reaches an LLM API. 2. Gu…
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Is ISO 42001 certification worth it for my company, and how do I get it?
ISO/IEC 42001 is the first certifiable international standard for AI management systems (AIMS). Nobody legally requires it — but three situations make it worth pursuing: enterprise customers are asking for AI governance evidence in procurem…
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What is the practical way to red team an LLM app before going to production?
Run automated adversarial scans first, then targeted manual attacks — one sprint is enough for a first pass. 1. Baseline scan: run Garak (NVIDIA's open-source vulnerability scanner) against your endpoint; its probe library covers injection,…
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LLM Guard has been archived on GitHub. What should I replace it with?
LLM Guard was archived on GitHub on July 9, 2026, and is no longer maintained — twelve months after Palo Alto Networks acquired its parent company Protect AI. Running it in production now means running unmaintained security code. Your migra…
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Which AI security and governance companies have been acquired recently? Is my vendor still independent?
At least nine AI security vendors were acquired between September 2025 and May 2026: CalypsoAI (F5), Aim Security (Cato Networks), Apex (Tenable), Prompt Security (SentinelOne, ~$180M), Lakera (Check Point, ~$300M est.), Securiti AI (Veeam)…
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How did the Digital Omnibus change EU AI Act deadlines and obligations?
The Digital Omnibus agreement (provisionally agreed May 2026, with formal adoption intended before August 2, 2026) reshaped three things. 1. High-risk timing: the amendment package was negotiated to land before August 2, 2026 — the start da…
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What are the risks of AI agents and MCP servers, and which controls and tools address them?
Agent security is different from chatbot security: the risk is what the agent does, not just what it says. The core threats are indirect prompt injection through tool results, over-permissioned agents, tool misuse, and malicious or compromi…
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How do I defend an LLM application against prompt injection attacks?
Prompt injection is the 1 risk in the OWASP LLM Top 10 (LLM01:2025). A defense-in-depth approach has four layers: 1. Input filtering at the edge. Use a dedicated guardrail API such as Lakera Guard to score every user message and tool-call a…
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My company is building AI products. Should I adopt the NIST AI RMF, the EU AI Act, or both?
They solve different problems and most organizations end up adopting both. - NIST AI RMF 1.0 is a voluntary US framework organized around four functions — Govern, Map, Measure, Manage. It is the most widely adopted internal program backbone…
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What is the right way to redact PII before sending user data to an LLM API?
Sending personal data to a third-party LLM without redaction is a common GDPR and HIPAA finding. A practical pipeline: 1. Detect. Run user input and retrieved RAG context through a named-entity recognition model trained for PII. Private AI…