Noma Security vs Pangea AI Guard
Noma Security
noma.securityPangea AI Guard
pangea.cloudSide by side
| Figure | Noma Security | Pangea AI Guard |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · AI Agent Security Software | 7.1 (#11) | 7.4 (#7) |
| Headquarters | Noma’s contact page lists its address as 33 Irving Place, New York, 10003. | 636 Ramona St, Palo Alto, CA 94301 |
| Integrations | The platform page names AWS Bedrock, Azure AI Foundry, Databricks, LangChain, CrewAI, Microsoft Copilot Studio, Salesforce AgentForce, and ServiceNow as AI environments or frameworks used by teams it secures. | AI Guard can be integrated through APIs and SDKs or through gateway extensions and plugins for Portkey, Kong, and LiteLLM. |
| Purpose | Noma describes its platform as helping organizations discover, govern, test, and protect AI and agents across the enterprise. | AI Guard protects data and interactions with LLMs in AI-powered applications by safeguarding sensitive information, blocking malicious content, and recording application events. |
| Support | The Trust Center says its team typically responds to security questions within one business day and can prioritize urgent vendor reviews when given an evaluation timeline. | Pangea lists [email protected] for general inquiries and [email protected] for technical support. |
Plans
In their own words
Noma Security
Noma Security has no write-up on Specifiction yet; its figures are above.
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.