AIAI Governance StackFree kit

Prompt Security vs Dynamo AI

Both compete in Runtime Enforcement & Guardrails. Prompt Security positions itself as “Runtime security for enterprise GenAI usage, applications, and AI agents”, while Dynamo AIleads with “Customizable runtime guardrails, evaluation, and red-teaming for enterprise generative and agentic AI”. The table below compares what each publishes.

Where Prompt Security pulls ahead

Publishes support for GDPR, which Dynamo AI does not. Security teams governing sanctioned and shadow GenAI use while protecting homegrown AI apps and agents

Where Dynamo AI pulls ahead

Regulated and security-sensitive enterprises that need self-hosted, customizable runtime guardrails plus pre-deployment red-teaming for LLM and agentic applications.

Both map to NIST AI RMF, EU AI Act, so framework coverage alone will not separate them — the decision usually comes down to who operates the tool and how it fits your existing stack.

Prompt Security
Dynamo AI
PositioningRuntime security for enterprise GenAI usage, applications, and AI agentsCustomizable runtime guardrails, evaluation, and red-teaming for enterprise generative and agentic AI
CategoryRuntime Enforcement & GuardrailsRuntime Enforcement & Guardrails
FrameworksNIST AI RMF, EU AI Act, GDPREU AI Act, NIST AI RMF
DeploymentSaaS, On-prem, APIOn-prem, Cloud, API, SaaS
Built forSecurity, Risk, ComplianceSecurity, Compliance, Risk, Legal, Data Science / ML
Founded20232021
HeadquartersTel Aviv, IsraelSan Francisco, California, USA
OwnershipAcquired by SentinelOne (announced August 2025, reported ~$250M)Independent
Funding~$23M total; investors include Hetz Ventures, Jump Capital, Ridge Ventures, Okta, F5Approximately $19-24M total; $15M Series A (Aug 2023). Originally operated as DynamoFL
PricingEnterprise licensing / subscriptionNot published
Key capabilities
  • Real-time GenAI usage visibility
  • Policy-based prompt and data controls
  • Sensitive-data leakage prevention
  • Prompt-injection and jailbreak prevention
  • MCP gateway security
  • Model-agnostic coverage across major LLMs
  • Real-time customizable guardrails (DynamoGuard)
  • Automated evaluation and red-teaming (DynamoEval)
  • Risk remediation (DynamoEnhance)
  • Agentic AI security (AgentWarden)
  • Hallucination detection with root-cause analysis
  • On-device / in-cluster deployment
IntegrationsOpenAI, Anthropic, Google, Browser extensions / proxy, MCP servers, Enterprise SSO/SIEMMajor LLM providers, Kubernetes
Notable customersNone publishedQualcomm, Lenovo, Intel, Experian, U.S. Army
Best forSecurity teams governing sanctioned and shadow GenAI use while protecting homegrown AI apps and agentsRegulated and security-sensitive enterprises that need self-hosted, customizable runtime guardrails plus pre-deployment red-teaming for LLM and agentic applications.
LimitationsBeing integrated into SentinelOne, so standalone roadmap may converge with that platform; primarily security-focused rather than a full GRC/compliance suiteIts Kubernetes-native, self-hosted model requires meaningful engineering resources to deploy and run, making it heavier to adopt than SaaS-only governance tools and less suited to non-technical buyers.

Which should you shortlist?

Choose Prompt Security if security teams governing sanctioned and shadow GenAI use while protecting homegrown AI apps and agents

Choose Dynamo AI if regulated and security-sensitive enterprises that need self-hosted, customizable runtime guardrails plus pre-deployment red-teaming for LLM and agentic applications.

Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.

Full Prompt Security profile →Full Dynamo AI profile →

AI Governance Tool Selection Kit

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