Deterministic, sub-millisecond security scanning for AI agents and LLM applications. Blocks prompt injection, shell execution, credential exfiltration, and 50+ attack patterns before they execute.
Every AI agent needs a security layer. Most rely on probabilistic filters that miss attacks. We don't.
Pure pattern matching and rule evaluation. No LLM calls in the critical path. Your users won't feel a thing.
Same input, same result, every time. No hallucinations, no probability scores, no "maybe safe." Our engine relies entirely on predictable, mathematical rule evaluation.
Our security research team constantly monitors new AI attack vectors and pushes advanced mitigation rules instantly. No code updates required.
Security payloads are strictly enforced using frozen dataclass namespaces. Runtime modification is physically impossible, ensuring downstream code can never tamper with or bypass a BLOCK decision.
Integrate Sovereign Shield into your pipeline with just 3 lines of code. Whether using the official Python SDK or raw HTTP, your agent is secured instantly.
Designed specifically to mitigate the OWASP Top 10 vulnerabilities for Large Language Model Applications, including prompt injection and data exfiltration.
Every request passes through four independent security layers in sequence. Each layer can block independently.
Pattern-based sanitization. Catches prompt injection, jailbreak attempts, encoded payloads, and social engineering across 50+ signals. Consistently updated category keywords mitigate the latest zero-day exploits.
Automatically enforced per-user and per-tier rate limiting. Prevents abuse floods and DDoS-style prompt attacks.
Action-level audit: shell execution ban, file deletion ban, URL restrictions, credential exfiltration detection, malware syntax scanning, data poisoning detection, code leak prevention. 13 checks total.
Ethical evaluation layer. Detects deception, manipulation, harm intent, fake tool injection, security evasion, and IP extraction attempts.
Real attack categories detected and stopped in production.
Start free. Scale when you need to.
One API call between your user and your AI. Dangerous input never gets through.
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Every user message passes through 4 security layers before it reaches your AI.
Clean input is returned. Dangerous input is blocked silently. Your AI never sees it.
$ pip install sovereign-shield-client
from sovereign_shield_client import SovereignShield
shield = SovereignShield(api_key="ss_your_key")
# Your user's input goes in, safe input comes back
safe_input = shield.scan(user_message)
# Pass it straight to your LLM — dangerous input never gets here
response = your_llm.generate(safe_input)
$ curl -X POST https://api.sovereign-shield.net/api/v1/scan \
-H "Authorization: Bearer ss_your_key" \
-H "Content-Type: application/json" \
-d '{"prompt": "user message here"}'