Sunglasses vs Lakera Guard
This comparison is architecture fit, not winner-take-all branding. Other AI security tools like Lakera Guard, NVIDIA NeMo Guardrails, and Azure Prompt Shields use cloud-based ML to catch novel attacks. That's powerful — and we respect it. Sunglasses is a fast, local pre-ingestion filter — you can place it in front of these tools in the same pipeline.
Sunglasses is Layer 1 — local, instant, free. It catches known attacks in ~0.26ms and never sends a byte of your data anywhere. Cloud tools like Lakera are Layer 2 — ML-based, global threat intelligence that catches novel attacks pattern matching can’t.
Side by side
Same problem space, different architecture. Pick by where you need the scan to run and what you can send off your machine.
Better together
Sunglasses is a fast, local pre-ingestion filter — you can place it in front of these tools in the same pipeline. We handle the fast, local scan first; they handle the deep, cloud-based analysis second. Two layers. One pipeline. Better together.
Sunglasses ships an adapter system and integrates with LangChain, CrewAI, and MCP workflows, so it slots in front of existing security stacks rather than replacing them.
When to pick which
you need local-only, offline, zero-cost scanning — compliance, privacy, air-gapped environments, budget, or principle. One pip install takes you from nothing to defended against known attacks.
you need ML detection of novel attacks and can send input to a third-party API.
you want defense in depth: the local filter reduces load and cost on the cloud layer, and the cloud layer covers the local filter’s blind spots.