Pangea AI Guard vs VotalAI
Pangea AI Guard
pangea.cloudVotalAI
votal.aiSide by side
| Figure | Pangea AI Guard | VotalAI |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 0 |
| Spec score · AI Agent Security Software | 7.4 (#7) | 7.4 (#8) |
| Spec score · AI Guardrail Software | 7.2 (#17) | 7.3 (#15) |
| Deployment | 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. | The site describes Docker deployment and says Votal can run on-premises or in a private cloud, including inside a VPC or air-gapped environment. |
| Headquarters | 636 Ramona St, Palo Alto, CA 94301 | San Francisco, California, United States |
| Integrations | AI Guard can be integrated through APIs and SDKs or through gateway extensions and plugins for Portkey, Kong, and LiteLLM. | The site says VotalAI can sit between agents and OpenAI, Anthropic, Bedrock, or self-hosted models. |
| Purpose | AI Guard protects data and interactions with LLMs in AI-powered applications by safeguarding sensitive information, blocking malicious content, and recording application events. | Votal describes itself as a runtime security platform for enterprise AI applications and agents, enforcing guardrails, identity, data policies, and tool authorization. |
| Support | Pangea lists [email protected] for general inquiries and [email protected] for technical support. | The contact page offers access to AI security specialists and says it replies within 24 hours on business days. |
In their own words
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.
VotalAI
VotalAI is a runtime security platform for enterprise AI applications and agents. It inspects prompts and model outputs for prompt injection, jailbreaks, sensitive data, and policy violations, and can block attacks, redact PII, restrict topics, and gate tool calls. Tool-call policies can be set by agent or role, with field-level redaction, rate limits, and human approval gates. The platform lists support for LangChain, LlamaIndex, CrewAI, OpenAI Assistants, Bedrock Agents, and custom orchestrators, and can sit between agents and OpenAI, Anthropic, Bedrock, or self-hosted models. Developers can use Python, TypeScript, or Go SDKs and a REST API. Deployment options include Docker, on-premises, and private cloud environments, including VPCs and air-gapped environments. Votal describes cryptographic identities for agents, tool calls, and MCP connections, plus searchable, exportable records of requests, guard verdicts, and blocked attacks. The maker states SOC 2 Type II, ISO 27001, and ISO 42001 certifications. Pricing is on request; signup is free to start, and new users receive a 30-day free trial.