How SentinelGate Compares
Not all AI governance approaches are equal. Some add months of engineering. Some don't understand AI-specific threats at all. Here's how SentinelGate stacks up against the most common alternatives so you can choose the right approach for your team.
| Feature | SentinelGate | DIY / Custom Code | Generic API Gateways | Manual Review |
|---|---|---|---|---|
| Policy Enforcement | ✓Block / Allow / Redact | ~You build & maintain it | ~Rate limits only | ✗ |
| Jailbreak Detection | ✓Pattern + semantic | ~Requires ML expertise | ✗ | ~If reviewer spots it |
| PII Redaction | ✓SSN, CC, email, phone | ~Build each detector | ✗ | ~Manual, error-prone |
| Audit Trail / SOC 2 | ✓Structured, immutable | ~Build your own logging | ~HTTP logs only | ~Spreadsheets / tickets |
| Setup Time | ✓5 minutes | ✗Weeks to months | ~Days to weeks | ~Hire + train |
| LLM-Aware | ✓Built for AI threats | ~If you build it | ✗Treats AI as HTTP | ~Depends on expertise |
| BYOK (Bring Your Own Keys) | ✓Use your LLM keys | ✓You own everything | ✓Pass-through | ✓ |
| Real-Time | ✓< 20ms overhead | ~Depends on impl. | ✓ | ✗Hours to days |
| Maintenance Burden | ✓Fully managed | ✗Ongoing eng. cost | ~Infra + config | ✗Headcount cost |
Key differentiators
Zero inference cost
SentinelGate charges for governance, not LLM calls. You bring your own API keys and pay your provider directly. No inference markup, no per-token fees, no hidden cost on top of your model usage. You pay only for the policy, audit, and compliance layer.
Drop-in proxy
One line of code to integrate. Change your base_url from your LLM provider to SentinelGate, swap in your sg_live_ key, and every request flows through the policy engine. No SDK, no middleware library, no code refactoring.
Compliance-ready
Structured audit events, immutable logs, evidence export bundles. SOC 2, HIPAA, GDPR, and EU AI Act documentation ready on day one. Stop building compliance artifacts by hand and start generating them automatically from every AI request.
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