The Cloud Compliance Checklist Every Startup Actually Needs

If you run a startup, compliance probably feels like that thing you keep pushing to next quarter. There is a reason for that. The work is unglamorous, the requirements sound vague, and the people selling you compliance software make it sound like you need a six-figure platform before you write your first policy.

Most of that is noise.

Here is the honest version. About 80 percent of what auditors and enterprise buyers actually want is a small set of basic controls. Get those right and the rest is paperwork. We run through this checklist with early stage startups before they touch their first SOC 2 or PCI engagement, and almost every team finishes faster than they expected.

Which compliance framework does your startup actually need?

Most startups end up needing one of four frameworks. SOC 2 if you sell B2B software to enterprise customers. PCI DSS if you handle card data. HIPAA if you touch protected health information. GDPR if a single user lives in the EU or UK. Pick the one your customers ask for first and ignore the rest until later.

A small clarification on PCI. If you use Stripe, Adyen, or any modern processor and the card numbers never touch your servers, your scope shrinks dramatically. You are likely in scope for SAQ A, not the full PCI DSS audit. Confirm this in writing with your processor. We have seen founders sign 80-page contracts assuming they were SAQ A when they were not, and that costs real money to fix later.

On HIPAA, ignore anyone who sells you a HIPAA compliance certificate. It does not exist. HIPAA is a US federal regulation. What exists is HIPAA aligned controls plus a Business Associate Agreement (BAA) with every vendor that touches PHI. AWS, Google Cloud, and Azure all sign BAAs for their HIPAA eligible services. Make sure yours is signed.

How do you handle identity and access without going overboard?

Identity and access is where most early stage breaches happen and also where the cheapest fixes live. Turn on MFA for every human account in your cloud console. Lock down the root user and store its credentials offline. Use IAM roles instead of long lived access keys. Audit your IAM users every quarter. These four steps prevent the majority of credential-based attacks in startup environments.

What does cloud data protection actually look like?

Cloud data protection comes down to four practices: encrypt everything at rest using the cloud provider's KMS, force TLS 1.2 minimum for data in transit, classify data with sensitivity tags, and limit who can read each tier. Modern cloud services support these with a few config changes. There is no good reason to skip any of them, even for a 3-person startup.

• Encrypt at rest. Every modern cloud database supports this with a single setting. Turn it on. There is no scenario where the marginal performance cost is worth the risk.

• Encrypt in transit. TLS 1.2 minimum, 1.3 if your stack supports it. This includes internal traffic, not only the connection from your users to your application. The database connection from your API service to your Postgres instance also runs over TLS now. Yes, this matters.

• Decide where your keys live. The lazy answer is the cloud provider's managed service (AWS KMS, Azure Key Vault, Google Cloud KMS). That is also the correct answer for almost every startup. Roll your own only if you have a specific compliance reason and someone on the team who has done it before. "We want to feel more secure" is not a good reason.

• Tag your data. You cannot protect data you cannot find. Tag every S3 bucket, database, and storage account with a sensitivity level: public, internal, confidential, restricted. Auditors will ask for this map. Engineers will use it the first time they are debugging a leak.

Where do most startups go wrong with cloud network security?

The four most common cloud network security mistakes in startups are databases with public IP addresses, open SSH ports on 0.0.0.0/0, public storage buckets nobody meant to expose, and click ops infrastructure with no audit trail. All four are caught by free configuration scanners. Most startups have at least two of these issues until somebody actively goes looking for them.

What should you log, and what should you actually alert on?

Turn on CloudTrail in AWS, Activity Logs in Azure, or Audit Logs in GCP. Send the logs to a separate cloud account so a compromised admin cannot delete them. Retain logs for at least one year. Alert only on events that require human action: root logins, IAM policy changes, disabled audit logging, and failed login spikes. Everything else is noise.

Send the logs somewhere a compromised admin cannot reach. A separate AWS account, an immutable S3 bucket with Object Lock, or a SIEM you actually trust. This is the most useful thing you will do for incident response. Most teams skip it.

Retain for at least one year. SOC 2 wants this. PCI wants this. Future-you will want this the first time you need to figure out what happened during an incident.

Alert on what matters. Root account logins. IAM policy changes. CloudTrail being disabled or modified. Failed login spikes. Public S3 bucket creation. If your team is drowning in alerts, the problem is alert quality, not volume. Mute the noise.

Are your cloud backups actually working?

Cloud backups only count if you have restored from them recently. Back up production databases automatically, encrypt the backups, store them in a different region or account, and test the restore once per quarter. The time the restore takes is your real Recovery Time Objective, regardless of what your DR document claims. Write that number down.

A backup you have never restored is a backup you do not have. Schedule one restore drill per quarter. Write down the elapsed time. That number is your Recovery Time Objective, whether you like it or not. The marketing version ("we have a 15-minute RTO") does not survive contact with reality.

Document the plan in plain language. If your primary region went down at 3am, what would your on call engineer do? If the answer is "panic and call the CEO," rewrite the document before the audit. Auditors do not score for vibes.

How do you handle third-party vendor risk without losing your mind?

Maintain a single list of every external service that touches production data, including SaaS tools, observability vendors, AI APIs, and contract developers. For each entry, record what data it sees, how it authenticates, and where the vendor stores it. Sign Data Processing Agreements with anyone in GDPR scope and BAAs with anyone in HIPAA scope. Update the list every quarter.

Make the list. Stripe, Datadog, Slack, GitHub, your email provider, your analytics tool, your AI vendor, the contractor in another country with a GitHub SSH key. The real list is always longer than founders expect.

For each one, three pieces of information: what data does it see, how does it authenticate, and where does the vendor store its copy of the data. Auditors ask for this list. Customers ask for this list. You may as well build it once.

Sign DPAs for GDPR scope. Sign BAAs for HIPAA scope. The link to do this is usually buried in the vendor's settings page or legal portal. Five minutes per vendor. Nobody does it until they have to.

What policy documents do you actually need?

A SOC 2 Type 1 needs seven core policy documents at a minimum: information security, access control, incident response, change management, vendor management, acceptable use, and business continuity. Each should be two to three pages, written for your actual team. The 40-page templates online were designed for 500-person companies, not 12-person startups. Short and accurate beats long and copied.

The seven you actually need:

Each one can be two or three pages. If a policy is 40 pages long, it was written by a lawyer for a company with 500 employees, and your team will never read it. Short, specific, and accurate beats long and copy-pasted.

Keep evidence. Screenshots, exports, ticket links. When the auditor asks "show me you reviewed access in Q2," the right answer is a dated folder, not a frantic Slack search at 9pm the night before.

Where do startups keep messing this up?

The four most common cloud compliance mistakes in startups are treating compliance as a one-time project, buying tools before writing policies, confusing AWS usage with compliance, and ignoring the human side (background checks, security training, offboarding). Every one of these turns into rework at audit time. The fixes are procedural, not technical. They cost time, not money.

Should you do this yourself or hire someone?

Pre-seed startups with a technical co-founder who has done compliance before can handle the basics in a few weekends. Post-seed startups with a real product almost always benefit from a specialist with a template library, because the engineering hours saved are worth more than the consulting cost. The decision rule is engineering opportunity cost, not budget.

Pre-seed, with a technical co-founder who has done this before? You can knock out the basics in a few weekends. The checklist above is enough to start. Save the money.

Post-seed, shipping a real product? The math usually flips. The engineering hours you spend writing access control policies and configuring log retention correctly are hours you are not shipping features. A specialist with a template library can finish in two weeks what an internal team will stretch to three months around their day job.

Full disclosure. We are not pretending this is unbiased. ArclogiQ does this for a living, including PCI DSS audits, AWS security reviews, and 24/7 cloud monitoring through our Cloud Command Center. We will tell you honestly when to hire and when to do it in-house. A one hour conversation usually answers it.

What three things should you finish this week?

Start with three controls that take less than a day each: enable MFA on every cloud account, turn on CloudTrail (or equivalent audit logging) with one-year retention, and write down your full list of third-party vendors. These three answers are the first questions every auditor asks. Finishing them this week saves weeks of scramble later.

Three. Not the whole list. Three.

Most teams who try to do the entire checklist at once stop within a month. Most teams who pick three specific items, finish them, then pick three more are in much better shape six months later.

If you do not know which three to pick, here are the three. Enable MFA on every account in your cloud console. Turn on CloudTrail with one year retention. Write down your full list of third-party vendors. They take about an afternoon combined. They are also the first three things any auditor will ask about.

The rest can wait until next sprint.

Frequently Asked Questions