Public-source research
Vendor evidence
Review what vendors say publicly, the exact quoted source text, the security requirement each statement may support, and what still needs verification.
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Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6
Pangea AI Guard claims customizable security recipes, centralized usage summaries, tamper-resistant activity logging, attribution, webhooks, and audit trails for AI application events.
Requests to the AI Guard APIs and their processing results are logged in your Pangea project’s audit trail.
Related framework references (5)
Pangea AI Guard and Prompt Guard materials reviewed did not provide a public product claim for automated adversarial testing, repeatable attack suites, model or agent red teaming, or release-gate evaluation.
No quoted source text is recorded for this claim.
Related framework references (5)
Pangea AI Guard materials reviewed did not provide a public product claim for model artifact scanning, provenance, signing, dependency inventory, tamper analysis, or registry release controls.
No quoted source text is recorded for this claim.
Related framework references (5)
Pangea AI Guard claims application programming interface (API) and gateway-integrated enforcement across prompts, model responses, retrieval-augmented generation (RAG) ingestion, agent plans, tool inputs, and tool outputs using configurable block, report, redact, encrypt, and defang actions.
Recipes can be configured to block, report, redact, encrypt, or defang sensitive or malicious content.
Related framework references (5)
Pangea AI Guard materials reviewed did not establish agent identity registration, distinct agent credentials, delegated authorization, ownership, rotation, revocation, or agent access-review lifecycle.
No quoted source text is recorded for this claim.
Related framework references (5)
Pangea AI Guard materials reviewed did not establish governance of coding-agent commands, developer-workstation files or networks, integrated development environment (IDE) extensions, skills, hooks, secrets, or package actions.
No quoted source text is recorded for this claim.
Related framework references (5)
Pangea materials reviewed did not provide a public claim for discovering and monitoring workforce shadow AI tools, accounts, domains, models, users, or unapproved employee AI usage.
No quoted source text is recorded for this claim.
Related framework references (5)
Pangea materials reviewed did not provide a public claim for software as a service (SaaS) AI inventory, embedded software as a service (SaaS) AI feature discovery, or third-party AI service provider monitoring.
No quoted source text is recorded for this claim.
Related framework references (5)
Pangea says its Secure Audit Log service should track access to and processing of sensitive data inside generative AI applications.
Pangea’s Secure Audit Log service should be used to track access to, and processing of sensitive data.
Related framework references (5)
Pangea claims Prompt Guard analyzes user and system prompts to block jailbreak attempts and organizational limit violations.
Pangea Prompt Guard analyzes user and system prompts to block jailbreak attempts and organizational limit violations.
Related framework references (5)
Pangea claims AI Guard scans and sanitizes prompts and uploaded files, removes malicious content, and redacts sensitive information.
AI Guard scans and sanitizes all prompts and uploaded files of malware, leaked credentials, and malicious IPs and domains, and automatically redacts sensitive information with over 75 classification rules out of the box and support for custom data classification rules.
Related framework references (5)
Pangea materials reviewed did not provide a public claim for browser extension, enterprise browser, software as a service (SaaS) session controls, upload/download/copy/paste controls, or identity-aware browser/software as a service (SaaS) policy.
No quoted source text is recorded for this claim.
Related framework references (5)
Pangea claims Prompt Guard detects and stops direct and indirect prompt injection attacks and jailbreak attempts in AI applications.
Pangea Prompt Guard detects and stops direct and indirect prompt injection attacks and jailbreak attempts in AI applications.
Related framework references (5)
Pangea claims traffic through its Model Context Protocol (MCP) server, including user prompts from the large language model (LLM) and outputs from tools and data sources, can be checked by configured guardrails.
All traffic through the MCP server—user prompts from the LLM and outputs from tools and data sources—would be checked by configured guardrails.
Related framework references (5)
Pangea claims its Model Context Protocol (MCP) server can call guardrail services for malicious prompt checks, redaction, secure audit logging, and IP/domain reputation checks.
With Pangea’s new open-source MCP server, organizations can directly call Pangea AI security guardrail services that check for malicious prompts or prompt injection attempts as well as redact sensitive information, implement secure audit logging, check IP addresses and domains for malicious reputations, and perform WHOIS / geolocation lookups.
Related framework references (5)
Pangea materials reviewed did not provide a public claim for AI-agent identity inventory, service-account ownership, scoped credentials, secrets rotation, least privilege, or non-human identity (NHI) lifecycle management.
No quoted source text is recorded for this claim.
Related framework references (5)
Pangea materials reviewed did not provide a public claim for AI spend attribution, model cost routing, budget enforcement, rate limits, runaway token controls, anomaly detection, or AI return on investment (ROI) reporting.
No quoted source text is recorded for this claim.
Related framework references (5)
Pangea materials reviewed did not provide a public per-user, per-seat, per-app, per-token, usage-based, or enterprise AI Guard/Prompt Guard licensing model.
No quoted source text is recorded for this claim.
Related framework references (2)
Pangea claims AI Guard and Prompt Guard defend AI data ingestion and inference pipelines from large language model (LLM) threats alongside authorization and audit logging services.
These new services equip customers to defend AI data ingestion and inference pipelines from LLM threats like prompt injection and, in combination with Pangea’s existing suite of security services like authorization and audit logging, offer the industry’s most comprehensive set of security guardrails for AI applications.
Related framework references (5)