Pangea is a security platform for AI applications, with guardrails for prompts, outputs, data access, and logging. Secure LLM workflows via APIs, SDKs, AI tools, or API gateways.
Pangea is a security platform for AI applications. Its site describes security guardrails that help organizations ship generative AI and LLM apps with protections for prompts, outputs, data access, logging, and related security workflows.
The documentation centers on composable services rather than a single monolithic product. Examples include Prompt Guard and AI Guard for content handling, Redact for sensitive data treatment, AuthN and AuthZ for identity and permissions, Secure Audit Log for tamper-resistant logging, and Vault for secret and key operations.
Services mentioned across the docs include Prompt Guard, AI Guard, Redact, Threat Intel, Secure Audit Log, AuthN, AuthZ, and Vault. The site positions them as composable security services for AI applications and related access-control workflows.
The AI security docs describe filtering and transforming user inputs and context data, then sanitizing outputs to reduce prompt manipulation and harmful content exposure at inference time.
Documentation covers authentication and authorization for enterprise AI apps, including policies based on roles, groups, relationships, attributes, and source permissions.
The tutorials describe logging prompts, responses, and system events, including LLM details, to support attribution and accountability.
The integration page states that Pangea can be integrated directly with APIs and SDKs, or through AI tools and API gateways. SDKs are listed for Python, JavaScript, Go, Java, and C#.
The pricing page lists service-level billing categories for AI Guard, Prompt Guard, Secure Audit Log, Redact, Embargo, File Intel, IP Intel, Domain Intel, URL Intel, AuthN, Vault, User Intel, File Scan, Secure Share, AuthZ, and Sanitize.
Add controls around user prompts and model outputs to reduce exposure to prompt injection, insecure output handling, and accidental disclosure of sensitive information.
Protect enterprise AI applications that use internal documents or RAG workflows by enforcing authentication, authorization, and permission checks before data is surfaced to the model.
Log prompts, responses, and system events so teams can trace outcomes, review model interactions, and keep an audit trail for AI activity.
Use direct APIs, SDKs, or AI tool integrations when you want application-level controls with low-latency integration in a specific language or framework.
Route traffic through an API gateway when you want centralized policy enforcement across multiple systems or applications rather than per-app controls.
Pangea provides security guardrails for AI applications and documentation for securing LLM apps with services such as Prompt Guard, AI Guard, Redact, Threat Intel, Secure Audit Log, AuthN, and AuthZ.
The integration options page says Pangea can be used in-app through APIs, SDKs, or AI tools such as LangChain integrations, or placed behind an API gateway.
The AI security tutorial describes securing user prompts, model inputs and outputs, access to enterprise data, and logging or monitoring for prompts, responses, and system events.
The pricing page shows service-based billing details, but the rendered page text does not expose specific prices or plan limits.
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