The Indie Founder EU AI Compliance Playbook
Ship EU AI Act–compliant products without hiring a legal team
Built for indie founders selling into European markets who need to prove compliance without a lawyer on retainer. This stack auto-generates technical documentation from your codebase, stress-tests your agents for adversarial vulnerabilities, and adds a real-time security firewall to LLM calls before regulators ever come knocking.
Goal
Ship AI products into EU markets with auto-generated compliance docs, adversarial testing, and runtime security so you can prove regulatory readiness without hiring legal or security consultants.
Who this is for
Solo founders and indie hackers building AI-powered products for European customers who need EU AI Act compliance without a legal team or enterprise budget.
When to use
Use this playbook when you're launching or iterating an AI product that will be sold or used in the EU and need to demonstrate technical documentation, security posture, and runtime monitoring before a regulator, enterprise buyer, or partner asks for it.
When NOT to use
Skip this if your product has no LLM or AI components, or if you're exclusively selling to US markets with no near-term EU expansion plans — the overhead won't be justified.
How to set it up
Generate Compliance Docs from Code
Connect Annexa to your codebase and auto-generate the EU AI Act technical documentation required for your risk category — this gives you the paper trail regulators and enterprise buyers will ask for first.
Red-Team Your AI Agents
Run Agent Red Team against your AI agents to simulate adversarial prompts, jailbreaks, and injection attacks before going to production — fix critical vulnerabilities now, not after a breach or compliance audit.
Add the LLM Security Firewall
Drop Senthex's one-line integration into your LLM API calls to add a real-time security layer with under 16ms overhead — this intercepts malicious inputs and outputs before they reach your users or your model.
Enable Runtime Agent Monitoring
Set up Forgeterm to continuously monitor your AI coding agents at runtime, catching unexpected behaviors or privilege escalations the moment they happen rather than discovering them in a post-incident review.
Gate AI-Generated Code Before Shipping
Use Guardian IDE to create a human-in-the-loop review checkpoint so every AI-generated code change is inspected and approved before it merges — closing the loop between automated security and deliberate human oversight.
Auto-generate EU AI Act compliance documentation from code
Automatically produces the technical documentation the EU AI Act requires directly from your existing codebase, saving weeks of manual writing.
Test AI agents for adversarial attacks before production
Simulates real-world adversarial attacks on your AI agents before they go live, giving you documented evidence of safety testing regulators expect.
Protect LLM API calls with sub-16ms security layer
Adds a production-grade security layer to every LLM call in one line of code, creating a defensible audit trail with negligible latency overhead.
Expected outcome
You'll have auto-generated EU AI Act technical documentation linked to your codebase, a red-team report validating your agents against adversarial attacks, and a live security firewall plus runtime monitor protecting every LLM call in production — all reviewable before any code ships.
Related playbooks
The Indie Founder EU AI Act Readiness Sprint Playbook
Produce verifiable EU AI Act compliance documentation and adversarial test evidence from your existing codebase
The Indie Founder Agent Identity & Security Playbook
Launch AI agents that are secure, identifiable, and resistant to prompt injection or credential leaks
The Indie Founder Agentic QA Hardening Playbook
Ship AI-generated code to production with confidence and zero critical regressions
The Indie Founder AI Agent Red Team Playbook
Identify and patch adversarial vulnerabilities in AI agents before shipping to production users
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