All analysis was generated autonomously, without human review. Scores are analytical opinions drawn from the cited public sources, without hands-on testing. They are not audits, certifications, investment reports, purchasing advice, or evaluations of quality.
This analysis is scoped to AI security platform (red-teaming and guardrails).
Enkrypt AI's named customers are testimonials and case studies rather than disclosed revenue, the fact a buyer weighs first. The endorsements are strong: Skyhigh Security's product chief credits Enkrypt's guardrails with strengthening its cloud-security products, Phot.AI is quoted as a user, NetApp adds a testimonial, and published case studies name additional customers. The attention rests on published adversarial research, including a study reporting DeepSeek's model far more likely to generate harmful output, published through the Cloud Security Alliance blog and independently reported by Infosecurity Magazine. The public record shows a $2.35M 2024 seed and documents neither a later round nor revenue, so a buyer can verify the endorsements but not the business behind them.
| Description | Enkrypt AI secures AI applications and agents for enterprises, red teaming them to find hidden risks and applying real-time guardrails that block threats as prompts arrive. | [f1] |
|---|---|---|
| Founded | 2022 | [f2] |
| HQ | Boston, Massachusetts, USA | [f3] |
| Funding | $2.35M total | [f4] |
| Latest funding | Seed (Feb 2024, led by BoldCap) | [f4] |
| Deployment | SaaS, Self-hosted | [f5] |
| Compliance | SOC 2 Type 2 | [f5] |
| Product | What it does |
|---|---|
| Agent Red Teaming | Continuous adversarial testing of AI agents in CI/CD, staging, and production, covering multimodal and multilingual attacks, with findings mapped to NIST, OWASP, and the EU AI Act. |
| Agent Guardrails | Real-time guardrails that filter inputs, retrieval, tool calls, and outputs to block prompt injection, tool misuse, goal hijacking, and data leakage across production AI agents. |
| Agent Policy Engine | Converts natural-language governance policy and regulatory text, including PDFs, into versioned, enforceable controls with an audit trail that links each control to its source. |
| AI Data Risk Audit | Produces a sign-off packet for security and legal that inventories the data feeding an AI system, ranks its risks, and records what is approved or blocked for training and RAG use. |
| MCP Scanner | Discovers MCP servers and tools, analyzes their capabilities and permissions, and surfaces high-risk exposure so teams adopt MCP with clear ownership and least privilege. |
| MCP Gateway | Open-source control plane that enforces policy and guardrails inline on MCP tool traffic before actions run, with enterprise add-ons for centralized policy, tenant-aware enforcement, and reporting. |
AI Defense Matrix
| Govern | Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|---|
| AI-Workload Platforms Inference servers, training platforms, vector DB platforms, and the model-loading supply chain. | ||||||
| AI Orchestration Tools Agentic orchestration tools, plus their plugins, skills, hooks, system prompts, scaffolding, harnesses, configuration settings, and MCP clients on user devices. | ||||||
| AI-Generated Code Code produced by AI tools, AI-assisted reviews, AI-generated infrastructure-as-code and tests, and vibe-coded apps that bypass CI/CD. | ||||||
| AI Gateways & Routers MCP proxies and gateways, LLM routers, outbound AI-service traffic, shadow AI egress, and model-registry traffic. | ||||||
| AI Model Model weights, fine-tuning checkpoints, model cards, registries, AIBOM, and the third-party LLMs your enterprise consumes. | ||||||
| Training Data Datasets used for training, fine-tuning, and continued learning. | ||||||
| Runtime AI Data User prompts, inference inputs, RAG content, vector DB content, persistent agent memory, and interaction history. | ||||||
| AI Agent Identities AI agents as non-human principals, plus credentials, keys, permission scopes, service accounts, and delegation chains across agents and tools. |
Enkrypt AI provides runtime guardrails for LLM apps and agents, automated red teaming, MCP gateway and scanner controls, and compliance evidence mapped to the EU AI Act and NIST. It is mapped to the AI Defense Matrix. [f6]
How well the company can compete in its security market, scored across eight dimensions against public evidence.
| Dimension | Score |
|---|---|
| Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. | 3/5 |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs, demos, and third-party validation. | 4/5 |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 4/5 |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 3/5 |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 3/5 |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 2/5 |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 3/5 |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 |
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A closer look at the company's product strategy, measuring how defensible it is against market forces and examining the eight areas behind it.
pivot urgently
| Dimension | Score |
|---|---|
| Value Delivery Does the product sell software as the product, or judgment, trust, or accountability with software as the delivery mechanism. | 1/3 |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 2/3 |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 1/3 |
Unlock the Full Analysis
The reasoning for the scores, the strategy deep dive, the business risks, and more. AI access comes with the purchase, so your AI tools can read the full profile too. You keep 12 months of access.
One-time purchase: $20 per profile.
UnlockReading several? Unlock the entire catalog.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | Enkrypt AI: Homepage | official | 2026-07-09 |
| f2 | Startups Magazine on Enkrypt AI seed round | press | 2026-06-14 |
| f3 | Enkrypt AI research report page footer with company address | official | 2026-06-13 |
| f4 | Startups Magazine on Enkrypt AI 2.35M seed round | press | 2026-06-13 |
| f5 | AI Defense Matrix Catalog entry | other | 2026-06-13 |
| f6 | AI Defense Matrix Catalog mapping | other | 2026-06-23 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Enkrypt AI homepage | official | 2026-06-13 |
| s2 | Enkrypt AI Agent Red Teaming product page “Run red teaming where you build: Pre-release gates in CI/CD ... Compliance Mapping (NIST, OWASP, EU AI Act)” | official | 2026-06-13 |
| s3 | Enkrypt AI Agent Guardrails product page | official | 2026-06-13 |
| s4 | Enkrypt AI MCP Gateway product page “The gateway is open source. Enkrypt AI adds enterprise capabilities like centralized policy management, tenant-aware enforcement, reporting, and support.” | official | 2026-06-13 |
| s5 | Enkrypt AI Agent Policy Engine product page “Enkrypt AI Policy Engine converts natural-language AI governance policy and regulatory text (including PDFs) into controls - then enforces those controls across the platform with traceability you can audit.” | official | 2026-06-13 |
| s7 | Startups Magazine on Enkrypt AI 2.35M seed round and founders “Enkrypt AI raises $2.35M to build visibility and security layer for Gen AI” | press | 2026-06-13 |
| s8 | Enkrypt AI model safety red-teaming report page | official | 2026-06-13 |
| s9 | Enkrypt AI cloud-provider guardrails red-teaming research report “Discover critical vulnerabilities in major cloud providers' AI safety systems” | official | 2026-06-13 |
| s10 | Infosecurity Magazine on DeepSeek R1 security weaknesses and red-team reports “security reports have started to show that R1 also has many security weaknesses that could expose any organizations deploying the LLM.” | press | 2026-06-13 |
| s11 | Enkrypt AI Gartner Cool Vendor in AI security 2025 announcement | official | 2026-06-13 |
| s12 | Enkrypt AI MCP Scanner product page “Enkrypt AI MCP Scanner discovers tools, analyzes capabilities and permissions, and surfaces high-risk exposure - so you can adopt MCP with clear ownership and least privilege.” | official | 2026-06-13 |
| s6 | Enkrypt AI homepage customer testimonials from Skyhigh Security, NetApp, and Phot.AI “By integrating Enkrypt AI’s generative AI risk capabilities and advanced guardrails, we’ve significantly strengthened our CASB offerings, empowering customers with real-time visibility and control over AI-driven LLM focused risks.” | official | 2026-06-13 |
| s13 | Enkrypt AI and NetApp Collaborate to Bring AI Risk Enforcement to the Data Layer “AI governance must be enforced where data lives, in real time, at machine scale. Our NetApp collaboration gives security leaders control without slowing AI innovation.” | press | 2026-06-13 |
| s14 | DeepSeek-R1 AI Model 11x More Likely to Generate Harmful Content, Security Research Finds “AI race between US and China take a dark turn as red teaming report uncovers critical safety failures” | press | 2026-06-13 |
| s15 | SecurityWeek: Check Point to Acquire AI Security Firm Lakera “The announcement comes on the same day that CrowdStrike announced plans to acquire AI security firm Pangea, and reflects growing enterprise demand for safeguarding generative AI, large language models (LLMs), and autonomous agents as they become embedded in enterprise operations.” | press | 2026-06-16 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Enkrypt AI homepage: AI Security Agents That Govern and Protect “Detect. Continuously red team your AI with dynamic, use-case-specific attacks that adapt in real time. Remove. Real-time guardrails stop threats fast and get smarter with every prompt. Comply. Translate internal policies and external regulations into automated guardrails.” | official | 2026-06-18 |
| s2 | Enkrypt AI Agent Red Teaming product page (multimodal, CI/CD, compliance mapping) “Enkrypt AI Red Teaming finds real failure modes across text, audio, and vision, including agents, tools, RAG, and MCP. Pre-release gates in CI/CD. Scheduled and on-demand testing in staging and production. Red team multimodal and multilingual agents. Compliance Mapping (NIST, OWASP, EU AI Act).” | official | 2026-06-17 |
| s3 | Enkrypt AI Agent Guardrails product page (per-boundary enforcement) “Prompt boundary: Input filtering and injection defense, Policy-aware rewrite/block/escalate. Tool boundary (agents + MCP): Approve/deny tool calls before execution, enforce least privilege. Output boundary: Enforce tone, safety, and disclosure rules.” | official | 2026-06-17 |
| s4 | Enkrypt AI MCP Gateway product page (open source plus enterprise add-ons) “The gateway is open source. Enkrypt AI adds enterprise capabilities like centralized policy management, tenant-aware enforcement, reporting, and support. Add Enkrypt when you need policy packs, audit-ready exports, and human experts for security reviews.” | official | 2026-06-17 |
| s5 | Enkrypt AI Agent Policy Engine product page (regulation to controls) “Enkrypt AI Policy Engine converts natural-language AI governance policy and regulatory text (including PDFs) into controls, then enforces those controls across the platform with traceability you can audit.” | official | 2026-06-17 |
| s6 | Enkrypt AI homepage customer testimonials (Skyhigh Security, NetApp, Phot.AI) “By integrating Enkrypt AI's generative AI risk capabilities and advanced guardrails, we've significantly strengthened our CASB offerings, empowering customers with real-time visibility and control over AI-driven LLM focused risks. Thyaga Vasudevan, EVP, Product, Skyhigh Security.” | official | 2026-06-18 |
| s7 | Startups Magazine on Enkrypt AI 2.35M seed round and founders “Enkrypt AI was founded by two Yale PhDs and AI practitioners Sahil Agarwal (CEO) and Prashanth Harshangi (CTO) in 2022. Enkrypt AI raises $2.35M to build visibility and security layer for Gen AI.” | press | 2026-06-18 |
| s8 | Enkrypt AI cloud-provider guardrails red-teaming research report “Discover critical vulnerabilities in major cloud providers' AI safety systems.” | official | 2026-06-17 |
| s9 | Enkrypt AI DeepSeek-R1 red-team findings, vendor-authored, hosted on the Cloud Security Alliance blog “DeepSeek-R1 AI Model 11x More Likely to Generate Harmful Content, Security Research Finds.” | official | 2026-06-17 |
| s10 | Infosecurity Magazine on DeepSeek R1 security weaknesses and red-team reports “Security reports have started to show that R1 also has many security weaknesses that could expose any organizations deploying the LLM.” | press | 2026-06-17 |
| s11 | SecurityWeek: Check Point to Acquire AI Security Firm Lakera “Check Point to Acquire AI Security Firm Lakera.” | press | 2026-06-17 |
| s12 | Enkrypt AI red-teaming report page footer (AICPA badge, Brighton MA address) “Enkrypt AI, Inc 1660 Soldiers Field Rd. Brighton, MA 02135. (AICPA badge image in page footer.)” | official | 2026-06-17 |
| s13 | AI Defense Matrix Catalog entry for Enkrypt AI (coverage rows) “MCP Gateway, an open-source control plane, sits inline between agents and MCP servers to approve, modify, or block tool calls, enforcing least privilege and producing an audit evidence trail.” | other | 2026-06-17 |
| s14 | Enkrypt AI pricing page (published tiers metered by credits) “Choose the plan that matches your AI security needs. Explore: $0/month, Free forever, 500 credits to start, no credit card required. Launch: $149/month, 5,000 credits to start, best for startups launching a single production agent. Start with Explore. Talk to an Expert.” | official | 2026-06-18 |
| s15 | Enkrypt AI case studies page (AI21 Labs and NATO StratCom COE) “See how enterprises like AI21 Labs and NATO StratCom COE build trust with Enkrypt. Advancing safety alignment for the Jamba model family, AI21 Labs x Enkrypt AI. The imperative for a coordinated defense, NATO x Enkrypt AI.” | official | 2026-06-18 |
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