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Interactive Checklist

LLM API Key Management: The Security Checklist

Hardcoded keys. No rotation. Shared credentials. Zero audit trail. Most teams using LLMs are one misplaced API key away from a security incident. Check off what your team has covered — and see exactly where the gaps are.

10
Checklist Items
Across 5 categories
~5 min
To Complete
Self-assessment, no signup
3 tiers
Shield Recommendation
Based on your score

Check the boxes for everything your team has implemented. Each item expands to show: what's at risk, how to fix it, and how PurfectShield handles it. At the end, you'll get a Shield tier recommendation based on your coverage.

0 / 10 complete0%
Your Score: 0%

Recommended: Shield Foundation

Start here. Every unchecked item is a gap that could result in a leaked API key, a failed security audit, or a lost enterprise deal. Shield Foundation covers the first five items on this checklist — get protected immediately.

$10K/year
See Pricing

Coverage by Category

Secrets
0/2
Access Control
0/2
Lifecycle
0/2
Visibility
0/2
Compliance
0/2

Stop Treating API Keys Like an Afterthought

Shield catches API keys in prompts before they reach LLM providers — 50+ known formats plus entropy-based detection for custom keys. Deploy in 10 minutes. Runs on your machine.

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Frequently Asked Questions

Secrets management is the broader discipline — it covers all credentials (database passwords, TLS certificates, SSH keys, API tokens). API key management is a subset focused specifically on API authentication tokens for LLM providers. The practices overlap (rotation, least privilege, audit logging) but API keys have unique challenges: they're used by multiple developers, pasted into prompts, and expose your organization to usage-based billing attacks. Shield addresses the LLM-specific layer by inspecting what actually goes out in prompts.
Best practice is 90 days for production keys and 30 days for keys used in high-risk environments or by contractors. But rotation frequency should be driven by risk: a key with broad permissions and many users should rotate more often than a narrowly-scoped key used by a single service. The most important practice isn't the interval — it's having an automated rotation process. Manual rotation leads to keys that never get rotated because 'it's a hassle.' Automate through your secrets manager: generate, deploy, verify, revoke old key.
No — they're complementary. A secrets manager handles the lifecycle of credentials: creation, storage, rotation, access control. Shield handles a different problem: what happens when those credentials end up in LLM prompts. A developer might accidentally paste an API key into a prompt (not the LLM provider key, but some other key from a config file they're debugging). The secrets manager doesn't see this — Shield does, and redacts it before it reaches the model provider. Use both: secrets manager for key lifecycle, Shield for real-time prompt inspection.
Yes. Shield is provider-agnostic by design. It sits as a local proxy on each developer's machine — any LLM client that supports an API base URL override can route through Shield. Configure once and every provider (OpenAI, Anthropic, Google, DeepSeek, local models) benefits from the same secret detection, redaction, and audit trail. Shield's secret patterns cover 50+ key formats across all major cloud and SaaS providers.
Both — but for different reasons. A 5-person startup needs this because their first enterprise customer will ask 'How do you manage API keys?' in the security questionnaire, and having documented rotation, per-user keys, and an audit trail means you answer in minutes instead of scrambling for weeks. A large enterprise needs it because API key sprawl is already happening across dozens of teams, and the CISO needs to prove to auditors that keys are managed — not just hope they are.
Shield's entropy scanner can be tuned per environment. In development, where code snippets contain high-entropy strings like git commit hashes and UUIDs that aren't secrets, set a higher entropy threshold to reduce noise. In production, tighten the threshold. Shield also supports allowlists for known-safe patterns — UUIDs, session IDs, docker image digests, and test data that match secret heuristics but aren't sensitive. The combination of regex (high precision, known formats) and entropy (high recall, unknown formats) with tunable thresholds gives you control over the false positive rate.