Enkrypt AI Guardrails vs Pangea AI Guard
Enkrypt AI Guardrails
enkryptai.comPangea AI Guard
pangea.cloudSide by side
| Figure | Enkrypt AI Guardrails | Pangea AI Guard |
|---|---|---|
| Price from | $134/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 6 | 0 |
| Spec score · AI Agent Security Software | 8.4 (#3) | 7.4 (#7) |
| Spec score · AI Guardrail Software | 8.5 (#4) | 7.2 (#17) |
| 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. |
Plans
Enkrypt AI Guardrails
- ExploreFree
- Launch$149 a month
- Scale$1,499 a month
- Launch$1,608 a year
- Scale$16,188 a year
- EnterprisePriced on request
In their own words
Enkrypt AI Guardrails
Enkrypt AI Guardrails is a runtime layer for controlling risky behavior across AI agents, tools, retrieval-augmented generation, and MCP. It can filter, rewrite, block, or escalate at prompt, retrieval, tool, and output boundaries, and approve or deny tool calls. Covered risks include prompt injection, unsafe tool actions, boundary violations, sensitive-data exposure, jailbreaks, toxic content, and compliance issues. Policies apply to text, image, and audio inputs. The product supports API-first use with existing model stacks, agent hooks or middleware, MCP Gateway, SIEM and ticketing routes, and identity claims such as Okta, Azure AD, and custom JWT claims. Enforcement logs record a policy ID, version, and reason code and can be exported to SIEM. The product page claims latency under 15 milliseconds. Explore is free and includes 50 credits per month and seven-day data retention; Launch starts at $134/mo (annual). Enterprise includes VPC or on-premises deployment and custom retention.
Pangea AI Guard
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.