AI-native GRC platforms: what's actually different, and what to evaluate before switching

AI-native GRC platforms promise to generate your compliance program - policies, evidence, even questionnaire answers - using AI agents, rather than automate checks on a program you build yourself. That is a genuine architectural shift, and it is still early. This independent guide explains what AI-native actually changes, names the players with sources (Delve, Comp AI, and Vanta's own agentic platform), and gives you an evaluation framework - led by auditor independence - for deciding whether to trust one with your SOC 2 today. GRC Migrate takes no vendor commissions; nothing here is a recommendation to buy or avoid any platform.

What "AI-native" actually changes

Incumbent compliance automation - Vanta, Drata - is test-based. You define your controls; the platform connects to your cloud, identity, HR, and code systems and continuously verifies those controls are operating, surfacing failures as they happen. The program is yours; the platform watches it.

AI-native platforms push up the stack, toward producing the artifacts themselves. In practice that means three things, to varying degrees per vendor:

• Agentic evidence collection - agents that gather, and in some designs assemble, the evidence an auditor will review, rather than only checking a live signal.
• AI-generated policies - security policies drafted by the model from your context, instead of adapted from templates by a human.
• Autonomous questionnaire answering - security questionnaires answered from your existing evidence with little human drafting.

The appeal is speed: a program stood up in days rather than months. The risk is that the further a tool moves from verifying toward generating, the more the integrity of the output depends on controls you can't see - and on the auditor who signs off. That trade-off is the whole reason the evaluation framework below exists.

The landscape, named and sourced

Vanta - the incumbent running the AI-native play from above. Vanta shipped its Agentic Trust Platform in November 2025, built on an AI Agent it introduced earlier in 2025; the second-generation agent adds autonomous policy drafting, remediation, and questionnaire answering from your own evidence. Vanta reported crossing $300M ARR and 16,000+ customers in April 2026 and took a first-time Leader position in the Forrester Wave for GRC platforms (per Vanta's announcements and Forrester). The point for buyers: the capability gap that made pure AI-native startups compelling is narrowing as the incumbents ship agents of their own.

Comp AI - the open-source entrant. Comp AI is a fully open-source (AGPLv3) compliance platform that raised a $2.6M pre-seed in August 2025 (OSS Capital, Grand Ventures) and positions itself explicitly as a Vanta and Drata alternative for budget-conscious and startup first audits. Because the core is open source, you can inspect how it collects evidence - a transparency property none of the closed platforms offer. It has no known controversy as of this writing. (Fuller profile on the honest overview of cheaper platforms.)

Delve - named because of an active, documented controversy that bears directly on evaluation. Here the facts and the allegations have to be kept strictly separate.

Documented facts, with sources: Delve (YC W24) raised a $32M Series A at a roughly $300M valuation led by Insight Partners in 2025 and claimed 1,000+ customers. In March 2026, an anonymous whistleblower operating as "DeepDelver," covered by TechCrunch, published allegations against the company. Delve denied them. In April 2026, several named customers - Lovable, LiteLLM, and Context AI - publicly left Delve and re-certified elsewhere (Context AI moved to Vanta with Insight Assurance, per TechCrunch), and Delve parted ways with Y Combinator, which removed it from its portfolio directory.

The allegations - attributed, not adopted: the whistleblower alleged that Delve supplied fabricated compliance evidence, that auditor conclusions were generated before independent review, that customers were routed to two audit firms it characterized as rubber-stamping, and that trust pages listed controls that were not implemented. These are allegations. Delve has called them misleading and inaccurate, has said its templates are not pre-filled evidence and that independent licensed auditors issue all its reports, and has more recently characterized the leak as a malicious attack rather than a genuine whistleblower while offering complimentary re-audits to active customers. The allegations are unproven; we are not adjudicating them, and neither should you.

We include Delve because the situation - whatever its ultimate resolution - is the clearest live illustration of why the questions below are the ones that actually protect you. The lesson is not "this vendor is bad." It is that a compliance platform's marketing tells you nothing about the independence of the audit behind it, and that independence is verifiable if you ask.

The evaluation framework - auditor independence first

These questions apply to any compliance platform, incumbent or AI-native. They matter more for early-stage AI-native tools because there is less track record to fall back on.

1. Auditor independence - the one that matters most. A platform can collect evidence; it cannot issue your SOC 2. A licensed auditor does, and the value of the report rests on that auditor's independence. Ask, and get answers in writing:

• Who designs the test procedures - the platform, or the audit firm? The auditor is supposed to.
• What does the platform hand the auditor - raw evidence they independently evaluate, or pre-drafted conclusions? Pre-populated auditor conclusions are exactly what AICPA independence rules exist to prevent.
• Is the audit firm economically entangled with the platform - owned by it, exclusively partnered, or paid through it? Entanglement is a red flag; arm's-length is the standard.
• Is the firm AICPA-accredited, and can you verify the CPA license independently? You can look this up yourself - do.

Entanglement is a spectrum, not a yes-or-no - and naming the positions is what makes this a framework rather than a warning about one company. At one end is a fully independent auditor you select yourself, with no economic relationship to the platform. In the middle is a disclosed single-vendor bundle: Thoropass (formerly Laika) is the openly-marketed example - platform and audit sold together, with the SOC report issued by a separate, AICPA-registered, peer-reviewed CPA entity (Thoropass Assurance) that holds its own engagement letter (per thoropass.com). That is a legitimate, transparent model; the tradeoff to weigh is coordination convenience against the independence questions worth asking of any platform-affiliated audit. At the far end is the arrangement the Delve whistleblower alleged - undisclosed routing of customers to firms it characterized as rubber-stamping, which Delve denies. The decisive difference between the middle position and that one is not whether an auditor is affiliated - it is disclosure: a bundle you can see and interrogate versus a routing you cannot. That contrast is the lesson, and it is why the four questions above are worth asking of every platform.

2. The vendor's own compliance posture. "The platform is SOC 2 certified" means the platform company was audited - not that the reports it helps you produce are sound. It is table stakes, not proof of output quality. Ask to see the platform's own report and who audited it.

3. Funding runway and continuity. Early-stage vendors can pivot, get acquired, or fold. Before you commit your program to one, confirm your data-export rights and the notice you'd get - the same clauses that matter in any ownership change. Our guide to what happens to your GRC contract if your vendor is acquired covers the assignment and export terms to check before signing.

4. What's structurally unverifiable - stated plainly. With an early-stage platform, some things you simply cannot confirm from the outside: how the model assembles evidence internally, whether last quarter's autonomously answered questionnaire was accurate, how the vendor will behave under stress it hasn't faced yet. Honesty about that is the point - a platform that claims total certainty about its own AI's output is overclaiming. Weight the unverifiable against how much you're trusting the tool to generate versus check.

5. Who audits the auditor's familiarity with your framework. Whichever platform you pick, confirm your specific audit firm has worked with it and is comfortable with how it presents evidence - the same check that protects you on any platform.

Who it fits today - and who should wait

A realistic fit today: a greenfield team with no incumbent contract, comfortable being early, that has done the auditor-independence homework above and - ideally - can inspect the tooling (a point in favor of the open-source option). For that team, an AI-native platform can genuinely compress a first audit.

Who should wait: anyone mid-contract or mid-audit-cycle on an incumbent. The AI-native capability that made the startups compelling is arriving in Vanta and Drata from above, which shrinks the reason to take on early-stage platform risk. And any team whose auditor can't answer the independence questions in writing - that's a reason to slow down regardless of the platform's AI.

If you're weighing this against your current platform, the should-I-switch guide and the free migration assessment are the neutral next steps. For the budget/open-source angle specifically, see the honest overview of the cheaper platforms. And if you've already decided to move on from a platform after re-evaluating it, the guide to migrating off Delve and re-certifying covers what re-certification actually involves.