Enkrypt AI Guardrails
6.8#1 in ai agent security softwareFrom $1,608 a yearFree planWebAPISelf-hosted
VisitEnkrypt AI Guardrails vs Pangea AI Guard
Pangea AI Guard
5.5#11 in ai agent security softwareAPIExtensionSelf-hosted
VisitWhat both publish
| Fact | Enkrypt AI Guardrails | Pangea AI Guard |
|---|---|---|
| Deployment | Enterprise includes VPC or on-premises deployment and unlimited usage for VPC. | Pangea lists SaaS, Edge, and Private Cloud deployment models; Private Cloud runs data and control planes in the customer's infrastructure and is marked early access. |
| Headquarters | Brighton, Massachusetts, United States | 636 Ramona St, Palo Alto, CA 94301 |
| Integrations | It supports API-first use with existing model stacks, agent hooks or middleware, MCP Gateway, SIEM and ticketing routes, and identity claims including Okta, Azure AD, and custom JWT claims. | AI Guard can be integrated through APIs and SDKs or through gateway extensions and plugins for Portkey, Kong, and LiteLLM. |
| Intended users | The company describes its audience as enterprises securing AI deployments, AI safety researchers, and people interested in building safer AI. | Pangea describes AI Guard as protection for AI-powered applications, including direct LLM interactions, agent data exchanges, and RAG data ingestion and retrieval. |
| Support | Support options listed include community support, email support, dedicated Slack or Teams, and Enterprise 24x7 support availability. | Pangea lists [email protected] for general inquiries and [email protected] for technical support. |
Enkrypt AI Guardrails plans
- ExploreFree
- Launch$149 a month
- Scale$1,499 a month
- Launch$1,608 a year
- Scale$16,188 a year
- EnterprisePriced on request
Pangea AI Guard plans
No prices published.
Pick Enkrypt AI Guardrails if…
It suits enterprises securing AI deployments and AI safety researchers who need policy controls across agents, tools, and data boundaries. The free Explore plan is described as suitable for spot checks and evaluation.
Pick Pangea AI Guard if…
It suits teams protecting direct LLM interactions, agent data exchanges, or RAG ingestion and retrieval in AI-powered applications. API, SDK, and gateway options support different integration approaches.