For AI startups

Security & compliance scanning for AI startups

AI startups ship fast, integrate fast, and hit security/compliance walls faster than any other category in 2026. KollGuard is the compliance scanner built for teams whose stack is GitHub + Postgres + an OpenAI/Anthropic key. Honest pricing, honest scope: we scan what you have today, you handle the audit separately.

  • Foundation-model-wrapper SaaS (GPT, Claude, Gemini)
  • AI agents and copilots accessing customer data
  • RAG products with vector databases (pgvector, Pinecone)
  • Code-generation and dev-tool startups
  • AI scribes / clinical AI (HIPAA layered on top)
  • Multimodal data-processing pipelines
Frameworks covered:SOC 2HIPAAISO 27001 (crosswalk)GDPR (crosswalk)NIST 800-53 (crosswalk)

Why AI startups teams pick KollGuard

  • AI cost dashboard built in — track Anthropic/OpenAI/Gemini spend per project alongside compliance posture.
  • Scanner verifies the security controls that AI buyers actually ask about: BAA chain, model-training opt-out, prompt logging, secret hygiene.
  • Risk forecast computes from real signals — finding age, recurrence, scan staleness, 30-day trend. No ML mystique, just deterministic math on your data.
  • $19.89/mo Starter means compliance budget doesn't compete with model spend.
  • Trust Center for sharing posture with enterprise prospects without sales overhead.

AI startups-specific guides

Frequently asked

Does KollGuard help with EU AI Act?
Partially — via the GDPR + ISO 27001 crosswalks, KollGuard covers data-protection and security-management requirements. EU AI Act adds AI-system-classification obligations (high-risk, limited-risk, etc.) that are policy-level, not scanner-level. We're tracking it.
We pull data from a customer's Postgres. Do we still need SOC 2?
Almost certainly yes — if your customer is an enterprise, their procurement will ask for it before signing. SOC 2 Type 1 unblocks the first deal; you can pursue Type 2 over the observation window after.
What about prompt injection / model security?
KollGuard doesn't test model robustness (that's a different product category — Lakera, Robust Intelligence, Promptfoo). We focus on the surrounding infrastructure: secrets, audit logging, access controls. The two are complementary.
AI cost dashboard — how does that work?
We track token / request volume per provider per project (Anthropic, OpenAI, Gemini, Grok) using each platform's usage API. Useful for spotting prompt-cache misses, runaway loops, and per-customer profitability. Available on every plan.

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Connect a repo or database. See your posture in minutes.