Pangea AI Guard vs SealGate

Pangea AI Guard protects data and interactions in applications that use large language models. It detects prompt injection, jailbreak attempts, malicious entities, personal and confidential information, secrets, language, code, competitors, custom entities, and restricted topics. Early-access features address images and prompt hardening. Configurable recipes combine detectors and can report, block, redact, encrypt, or defang detected content at stages including prompts, RAG ingestion, model responses, and agent tool inputs or outputs. Detection uses heuristics, machine-learning classifiers, and fine-tuned LLMs. Applications connect through APIs, SDKs, or gateway integrations for Portkey, Kong, and LiteLLM. SDK documentation covers Python, Node.js, Go, Java, and C#. Deployment options are SaaS, Edge, and Private Cloud; Edge and Private Cloud keep processing within the customer’s cloud boundary. Enabling AI Guard activates an Activity Log for calls, inputs, outputs, detections, and context. The current request limit is 20 KiB of text.

SealGate has no write-up on Specifiction yet; its figures are above.