Prompt Injection Defense
Catches jailbreak attempts — "ignore previous instructions," "developer mode," and obfuscated variants hidden behind invisible Unicode.
← Solutions
◆ AI Agent & LLM Security
◆ AI Agent & LLM Security
Protecting AI Agents, LLMs & Intelligent Applications
Secure AI agents and LLM-powered applications against prompt injection, data leakage, unauthorized actions, adversarial attacks, and emerging AI threats — built into the request pipeline, not bolted on after deployment.
Enterprise AI Security Platform
RiskLumen Core Engine — a security gateway for your LLM.
A single, dependency-free AWS Lambda that sits between your app and any LLM. Every request and response passes through checks in milliseconds before it's allowed through, protecting every interaction between users and AI systems.
Core Security Capabilities
- AI Agent & LLM Security
- Prompt Injection Detection & Prevention
- Jailbreak Protection
- Rate Limiting & Abuse Prevention
- Secrets Detection
- PII Identification & Redaction
- Secure Request & Response Validation
- Comprehensive Audit Logging
- Coverage for OWASP LLM Top 10 Risks
Request Pipeline
- 403 "ignore previous instructions" — blocked
- 200 Sanitized prompt forwarded to LLM
Core Engine Capabilities
Four checks, in order, on every request
Secrets & Credential Guard
Blocks AWS keys, GitHub tokens, and API secrets from leaking into a prompt — plus entropy-based detection that catches random-looking secrets with no recognizable prefix at all. Scans the model's response too.
PII Redaction
Auto-redacts Aadhaar, PAN, credit card numbers, phone numbers, and email addresses in both directions.
Sliding-Window Rate Limiting
Dual-key limits by client ID and source IP catch both brute-force abuse and rotating fake identities.
Token & Cost-Based DoS Guard
Estimates token cost before the LLM call and rejects oversized or scraping-pattern requests.
OWASP LLM Top 10 Coverage
Every control maps to a named OWASP LLM Top 10 category, with shadow-mode rollout and structured audit logging.
Real Example: Lumi
This exact guard pipeline runs live on this site's own AI assistant, right now — see how it's built, or just click the chat bubble and try it.
Need Device-Level Security Too?
Native, on-device cybersecurity — eBPF-based kernel-level runtime monitoring — lives under Enterprise Cybersecurity — the layer underneath the LLM gateway.
Why Organizations Choose Us
Why Organizations Choose RiskLumen
- Production-Grade AI Security Gateway
- Coverage for OWASP LLM Top 10 Risks
- Sub-50ms Gateway Latency
- Zero Third-Party Dependencies
- Prompt Injection & Jailbreak Defense
- Secrets & PII Redaction, Both Directions
- Comprehensive Audit Logging
- Proven in Production — Powers Lumi Today
How It Works
From open surface to guarded gateway in three steps
01
Connect
Point your app at RiskLumen's Function URL instead of calling the LLM directly.
02
Inspect
Four checks run in order in milliseconds — cheapest and fastest rejects first.
03
Deliver
The sanitized prompt is forwarded, and the response is scanned again before it reaches your caller.
FAQ
Common questions
How much latency does the gateway add?
The pattern-matching checks add well under 5ms warm. The rate-limit check adds one DynamoDB round trip, targeting under 20ms warm — under 50ms end-to-end including a cold start.
Which LLMs does it work with?
Any hosted or self-managed model reachable over HTTP. Currently built and tested against OpenAI's gpt-4o-mini, with the same pattern extending to any other provider.
Is this suitable for a small team to operate?
Yes — it's a single Lambda function with zero third-party dependencies, deployed via one SAM template. No fleet to patch, no dashboard to maintain.
What does pricing look like?
You pay AWS Lambda + DynamoDB usage directly — no separate licensing fee. Book a call and we'll walk through sizing it for your traffic.
Ready to put a guard in front of your LLM?
See RiskLumen block a real prompt injection attempt, live.