AI Compliance Solutions Compared: What to Look For

Buyers comparing ai compliance solutions are usually trying to answer three questions with one purchase: who owns implementation, what the software actually stores, and whether ISO 42001 and the EU AI Act are treated as real work or as a landing-page synonym. Most catalogs fail the first question. They sell a register. Enterprise reviewers still ask who ran the impact assessment.

This guide sits under the AI compliance solution hub. Packets' category is compliance automation with a named specialist. When we compare ai compliance solutions, columns stay generic except where Scrut is the honest software alternative: Packets vs Scrut.

What ai compliance solutions should cover

An inventory of AI systems: trained models, third-party APIs, agents that can act, evaluation stacks. ISO/IEC 42001 is the management-system shape for that inventory, impact assessment, lifecycle, data-for-AI, and suppliers. Official overview: ISO/IEC 42001. The EU AI Act is law when you are in its scope. An ai compliance solutions shortlist that cannot separate those two is marketing.

ISO 27001 still protects the information the model sees. If a vendor's demo never mentions the ISMS, you will rebuild access reviews in a side tool. Read the ISO 27001 hub and AI governance as one program.

Three operating models, not fifteen logos

Software-only: you buy a platform, your team operates 42001 and 27001. Fine if you already have owners. A consultant-only shop: slides and a gap report, then they leave. A hire: a full-time GRC person. Packets is the fourth pattern in tool vs consultant vs hire vs Packets: platform plus experts plus implementation. That is the comparison that matters for a 20 to 200 person AI-native team.

When you score ai compliance solutions, ask who attends the customer security review. Ask who will change production so the AIMS matches the product. Ask whether SOC 2 content is crowding out 42001 because the vendor's library is older. This sprint is not a SOC 2 series. US attestation can wait in the backlog if the product is the model.

A practical scorecard for ai compliance solutions

• System inventory that includes shadow LLM use.
• Impact assessment workflow with a human owner, not only a form.
• Evidence hooked to production logs, not uploaded PDFs once a year.
• Vendor / model due diligence fields that engineers will fill.
• Explicit link to ISO 27001 controls for access, logging, incident.
• EU AI Act role analysis as a legal track, with counsel, not a badge.

Packets implements that scorecard rather than pretending a dashboard is the program. Agents collect volume. A Compliance Lead runs workshops. We do not certify your AI system. Check Packets security for our own posture.

Red flags when you demo ai compliance solutions

Policy packs with no asset list. "AI Act compliant" as a product claim. No path to ISO 27001. No named human. Questionnaire automation that invents answers. If the demo cannot open your actual model endpoint conversation, keep walking.

Privacy laws still apply when personal data trains or prompts the system. Point vendors at GDPR vs CCPA and the privacy hub so they do not hide behind 42001.

Frequently asked questions

Are ai compliance solutions the same as an LLM firewall?

No. Runtime controls can be one treatment. ISO 42001 is a management system.

Can we pick ISO 42001 software and skip ISO 27001?

You can. Enterprise reviewers will still ask how you protect training data. Most teams should not skip it.

How should we compare Packets to a software GRC tool?

Compare implementation ownership. Start with Packets vs Scrut, then the platform pages for AI governance.

What do we do this week?

List every model and vendor. Name one owner. Take a free audit score. Contact Packets if that owner cannot be a full-time hire.

Also see risk management frameworks for how 42001 sits beside 27001, GDPR, and HIPAA.