Prompt Security vs Bifrost (Maxim AI)

Both compete in Runtime Enforcement & Guardrails. Prompt Security positions itself as “Runtime security for enterprise GenAI usage, applications, and AI agents”, while Bifrost (Maxim AI)leads with “Open-source enterprise AI gateway with inline guardrails across 1,000+ models”. The table below compares what each publishes.

Where Prompt Security pulls ahead

Publishes support for NIST AI RMF, EU AI Act, GDPR, which Bifrost (Maxim AI) does not. Security teams governing sanctioned and shadow GenAI use while protecting homegrown AI apps and agents

Where Bifrost (Maxim AI) pulls ahead

Platform and ML teams wanting a single, model-agnostic gateway to centralize routing and guardrail policy

	Prompt Security	Bifrost (Maxim AI)
Positioning	Runtime security for enterprise GenAI usage, applications, and AI agents	Open-source enterprise AI gateway with inline guardrails across 1,000+ models
Category	Runtime Enforcement & Guardrails	Runtime Enforcement & Guardrails
Frameworks	NIST AI RMF, EU AI Act, GDPR	None published
Deployment	SaaS, On-prem, API	Open-source, On-prem, API, Cloud
Built for	Security, Risk, Compliance	Data Science / ML, Security
Founded	2023	2023
Headquarters	Tel Aviv, Israel	San Francisco, California, USA (operations in India)
Ownership	Acquired by SentinelOne (announced August 2025, reported ~$250M)	Open-source project by Maxim AI (independent, venture-backed)
Funding	~$23M total; investors include Hetz Ventures, Jump Capital, Ridge Ventures, Okta, F5	Maxim AI raised $3M seed led by Elevation Capital
Pricing	Enterprise licensing / subscription	Open-source gateway (free/self-hosted); Maxim AI platform offered as commercial SaaS
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	Unified gateway for 1,000+ models Inline input/output guardrails (block, rewrite, log) Native Secrets Detection and Custom Regex/PII guardrails Adaptive load balancing and failover Cluster mode with sub-100µs overhead Integrations with third-party guardrail providers
Integrations	OpenAI, Anthropic, Google, Browser extensions / proxy, MCP servers, Enterprise SSO/SIEM	OpenAI, Anthropic, AWS Bedrock Guardrails, Azure AI Content Safety, Google Model Armor, CrowdStrike AIDR, Gray Swan Cygnal, Patronus AI, MCP servers
Notable customers	None published	None published
Best for	Security teams governing sanctioned and shadow GenAI use while protecting homegrown AI apps and agents	Platform and ML teams wanting a single, model-agnostic gateway to centralize routing and guardrail policy
Limitations	Being integrated into SentinelOne, so standalone roadmap may converge with that platform; primarily security-focused rather than a full GRC/compliance suite	Guardrail depth often depends on integrated third-party providers; younger company with modest funding; enterprise governance features still maturing relative to established security vendors

Which should you shortlist?

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

Choose Bifrost (Maxim AI) if platform and ML teams wanting a single, model-agnostic gateway to centralize routing and guardrail policy

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 Bifrost (Maxim AI) profile →

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