Your AI Agents Should Be Collecting Your SOC 2 Evidence

Yes. AI agents can collect SOC 2 evidence and push it to your compliance platform through an MCP connector or a REST API. The agent runs where the evidence lives, such as an access review or a backup report, so the platform never needs standing access to your infrastructure. On SimpleAudit, this is part of the Prove plan.

Key takeaways

• Pull-based integrations give a third party standing read access to production, which you then secure and explain to your auditor.
• With push, your agents or scripts file evidence through MCP or REST using one company-scoped token.
• Pushed evidence is version-controlled, auto-tagged and mapped to the SOC 2 controls it supports.
• AI three-way reconciliation checks policies, evidence and the standard against each other and turns drift into tasks.

Every compliance platform pitch eventually arrives at the same slide: the integration catalog. Two hundred connectors. Four hundred connectors. Agents on your endpoints, read access to your cloud accounts, OAuth grants into everything you run. The promise is automated evidence collection; the price is giving a third-party compliance tool standing access to your entire stack, and then explaining that access to your auditor.

We think that model is backwards, and the arrival of capable AI agents is what finally makes the alternative practical.

Your agents already know how to collect evidence. They just need somewhere to push it.

The integration catalog was always a workaround

Evidence collection was never the hard part of SOC 2. It's screenshots of MFA settings, exports of access lists, copies of pen-test reports, logs showing backups ran. The hard part was that someone had to remember to gather it, month after month, and file it somewhere an auditor could trust.

Enterprise GRC platforms solved that with pull-based integrations: grant us read access to AWS, Okta, GitHub, and fifty other systems, and we'll scrape the evidence out. It works, but look at what you traded away. A third party now holds standing read access to your production infrastructure, access that itself becomes something to secure, monitor, and disclose. Setup takes weeks. And the moment you run something the catalog doesn't cover, you're back to manual screenshots anyway.

Push, don't pull

SimpleAudit's Prove plan inverts the model. Instead of a compliance platform reaching into your systems, your side pushes evidence out, through the MCP connector or REST API.

MCP (Model Context Protocol) is the open standard AI assistants already speak. It's how Claude, ChatGPT, and most agent frameworks connect to external tools. Point your agent at SimpleAudit with a company-scoped token and it can file evidence directly into your Evidence Vault: the access review it just ran, the backup report it just pulled, the vulnerability scan summary it just triaged. Not everything is an agent, so the same endpoint takes plain REST calls from scripts, scheduled jobs, and CI pipelines.

The direction of the connection is the whole point:

• SimpleAudit never connects to your infrastructure. No OAuth grants, no read access, no endpoint agents. There is nothing to wire up during onboarding and nothing extra to explain in your audit.
• Your agents run where the evidence lives. They already have exactly the access your team gave them. No new trust boundary gets created for compliance's sake.
• Everything lands audit-ready. Pushed files are version-controlled with a full audit trail, auto-tagged, and mapped to the SOC 2 controls they support.

Question	Pull-based integrations	Push through MCP or REST
Who connects to whom	The compliance platform reads your systems	Your agents and scripts send evidence out
Standing access to your infrastructure	Read access and OAuth grants	None
Setup	Weeks of wiring integrations	One company-scoped token
Price of the automation	$8,000 to $50,000 a year on enterprise platforms	Part of the Prove plan

Collection is half the job: reconciliation is the other half

A vault full of agent-pushed evidence still leaves the question every auditor actually asks: does your evidence prove what your policies promise?

That's the second thing Prove does. AI three-way reconciliation continuously checks your policies, your evidence, and the SOC 2 standard against each other. When any two drift apart (a policy promises quarterly access reviews and no review evidence exists this quarter, or the standard expects a control your policies never address), the gap gets flagged in plain language with a task cross-linked to the policy, control, and evidence involved.

Most teams discover that kind of drift during the audit, when it's a finding. Reconciliation surfaces it the week it happens, when it's a ten-minute task. Combined with agent-pushed collection, the loop closes: evidence flows in continuously, and the AI verifies continuously that it adds up to a defensible audit.

What this looks like in practice

1. Generate a token. Company-scoped, created in SimpleAudit. That token is the only credential involved, in either direction.
2. Connect your agents. Add SimpleAudit as an MCP connector in your assistant or agent framework, or call the REST API from the automation you already run.
3. Let reconciliation watch. Evidence lands classified and control-mapped; three-way reconciliation turns any drift into prioritized tasks.

If you're evaluating the economics: this is part of why the lean SOC 2 stack works. The evidence-collection automation that enterprise platforms price at $8,000–$50,000 a year (justified largely by that integration catalog) becomes a push endpoint on the Prove plan, and the collection work is done by agents you already operate.

Manual evidence collection made sense when humans were the only things that could do it. If you've read our evidence collection best practices, you know the discipline it takes to run that process by hand. Your agents don't need the discipline. They just need the endpoint.

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Written by Joe, who led SOC 2 at a prior company before founding SimpleAudit, the AI-guided compliance platform built for founders and owners who don't have a CTO hat to wear.