Enkrypt AI
Enkrypt AI is a Boston-based AI security company that provides an agentic security and compliance platform — runtime guardrails, red teaming, policy enforcement, MCP security, and data risk auditing — for enterprises deploying AI systems in finance, healthcare, insurance, and other regulated industries.
- Company typePrivate
- Founded2024
- HeadquartersBoston, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Enkrypt AI does
Enkrypt AI is a Boston-based AI security company that has built an agentic security and compliance platform aimed at enterprises deploying AI in production. The platform unifies runtime enforcement, adversarial testing, policy-driven governance, and pre-deployment data risk auditing into a Detect / Remove / Monitor / Comply workflow spanning text, image, audio, code, and multimodal AI workloads. Core products include Agent Guardrails (runtime enforcement with sub-15ms decision latency), Agent Red Teaming (dynamic adversarial testing with regression suites), Agent Policy Engine (natural-language-to-controls with EU AI Act, NIST, OWASP, and ISO 42001 mappings), AI Data Risk Audit (TRAIN/RAG/EVAL permissioning with sign-off packets), MCP Scanner (Model Context Protocol vulnerability discovery), and MCP Gateway (inline tool-call enforcement with least-privilege). The offering is extended by ClawPatrol (OpenClaw runtime security), Skill Sentinel (open-source AI coding assistant skill scanner), RAYDER (chatbot red-teaming), and the LLM Safety Leaderboard (independent benchmark of 200+ frontier models), alongside the Enkrypt AI Academy developer education platform. The stack is API-first with a Python SDK and integrates with Splunk, Microsoft Sentinel, Datadog, ServiceNow, Jira, Slack, Microsoft Teams, PagerDuty, Opsgenie, Okta, Azure AD, GitHub, VirusTotal, Jaeger, and Grafana.
The company monetizes primarily through annual enterprise SaaS subscriptions (with SOC 2 Type II, SSO/SAML, RBAC, and tenant isolation as enterprise features) layered on a freemium open-source distribution model that drives developer adoption via MCP Gateway, Skill Sentinel, and ClawPatrol on GitHub, npm, and pip. Go-to-market combines direct enterprise field sales targeting Fortune 500 finance, healthcare, insurance, and cybersecurity buyers with self-service and PLG motions for individual developers and smaller teams. Named design partners and case-study customers span cybersecurity (Skyhigh Security), data infrastructure (NetApp), advertising/AI (Phot.AI), insurance (an undisclosed services firm), enterprise software (Salesforce), defense and intelligence (NATO StratCom COE), and frontier-model providers (AI21 Labs). Strategic alliances with NetApp, Cherry Bekaert, Kode-1, Truefoundry, Ascent, and Citrix NetScaler extend the platform across data-layer enforcement, risk advisory, APAC distribution, healthcare delivery, BPO/regulated industries, and enterprise networking respectively. The company is recognized as a 2025 Gartner Cool Vendor in AI Security, a KuppingerCole Leadership Compass Generative AI Defense vendor, a Gartner MCP Gateways Representative Provider, an Accenture Ventures Tech Next Challenge AI Infrastructure winner, and an AWS re:Invent 2025 Most Innovative Startup.
Enkrypt AI firmographics
Firmographics- Name
- Enkrypt AI
- Legal name
- Enkrypt AI, Inc
- Website
- https://enkryptai.com
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Enkrypt AI is a Boston-based AI security company that provides an agentic security and compliance platform — runtime guardrails, red teaming, policy enforcement, MCP security, and data risk auditing — for enterprises deploying AI systems in finance, healthcare, insurance, and other regulated industries.
- Ownership category
- akta.pro rank
Enkrypt AI industry classification
Industry- Product category
- AI Security & Compliance Software
- NAICS
- Software Publishers (513210), Security Systems Services (except Locksmiths) (561621)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)
- akta.pro secondary industries
- AI Governance, Risk & Compliance (GRC) Platforms (HDAAAMAA), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL)
Keywords
Where Enkrypt AI is headquartered
LocationHeadquarters
- HQ city
- Boston
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Enkrypt AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Enterprise SaaS Platform: Subscription-based SaaS platform providing AI security capabilities including guardrails, red teaming, policy engine, and data risk audit. Enterprise licensing with per-seat or usage-based pricing implied by 'Get Started' and 'Pricing' navigation.
- Open Source Products: Free open-source products (MCP Gateway, Skill Sentinel) drive adoption and create opportunity for enterprise upsell. Community engagement model that supports premium platform features.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise Platform - Full security suite |
| Freemium | Monthly | Free Trial |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels5 records
Enkrypt AI product offering
Product offeringCore offering
Enkrypt AI builds an Agentic Security and Compliance platform that provides runtime guardrails, adversarial red teaming, governance policy enforcement, and data risk auditing for enterprise AI deployments. The platform covers the full agentic stack - agents, tools, RAG, MCP servers, and Skill ecosystems - across text, image, audio, and code modalities with automated compliance mapping to EU AI Act, NIST, OWASP, and ISO 42001 frameworks. Revenue is generated primarily through enterprise SaaS subscriptions with free trials and open-source community tools driving developer adoption.
Product overview
Enkrypt AI is an Agentic Security and Compliance platform built around a portfolio of purpose-built products and modules. The core platform consists of six integrated products: Agent Guardrails (runtime enforcement layer), Agent Red Teaming (adversarial testing), Agent Policy Engine (governance and policy-to-controls conversion), AI Data Risk Audit (pre-deployment data approval), MCP Scanner (MCP server vulnerability discovery), and MCP Gateway (inline MCP traffic enforcement). These are complemented by ClawPatrol (gateway-level OpenClaw security with 6 hooks and 9 detectors), Skill Sentinel (open-source AI coding assistant Skills scanner), and RAYDER (chatbot red teaming tool). The platform's solutions layer includes Customer-Facing Agents, Secure Vibe Coding, Third-Party AI Risk, MCP Security, AI Compliance & Audit, Frontier Models, and AI Asset Scanner. A unified vulnerability scanner aggregates scanning across AI endpoints, MCP servers, data, model files, prompts, web apps, and URL content. The LLM Safety Leaderboard provides independent rankings of 200+ models, and Enkrypt AI Academy delivers structured free learning. The platform is API-first with a Python SDK and supports MCP (Model Context Protocol) natively through the MCP Gateway and MCP Scanner products.
Differentiator
Problem solved
Functional benefit
Brands
- Skill Sentinel: Open-source security scanner designed to detect malicious code and hidden threats in AI coding assistant Skills used by tools like Cursor and Claude Code.
- Enkrypt AI Academy
- MCP Scanner
- ClawPatrol
- RAYDER
Products and services
- Agent Guardrails Runtime protection layer that approves, modifies, or blocks risky agent behavior across prompts, RAG retrieval, tool/MCP calls, and outputs - with sub-15ms latency and every decision logged for audit trails. Targeted at enterprises deploying AI agents that need real-time policy enforcement.
- Agent Red Teaming Adversarial testing platform that continuously discovers failure modes in AI agents, tools, RAG, and MCP through dynamic, use-case-specific attacks - producing prioritized fixes, regression suites, and evidence-ready reports for security teams.
- Agent Policy Engine Governance layer that converts natural-language AI policy and regulatory PDFs into versioned, enforceable controls with clause-level traceability - mapping to OWASP, NIST, and EU AI Act by default for enterprise AI compliance teams.
- AI Data Risk Audit Pre-deployment data approval product that evaluates datasets, fine-tunes, and RAG corpora for privacy, IP, and governance risk - producing sign-off packets, Data Bill of Materials, and intent-based TRAIN/RAG/EVAL permissioning for security and legal teams.
- MCP Scanner Security scanner that discovers, analyzes, and risk-rates MCP servers and tools - surfacing injection risk, sensitive data exposure, response integrity risk, and policy violations before servers enter production.
- MCP Gateway Open-source inline policy control plane for MCP tool traffic that sits between agents and MCP servers to approve, modify, or block tool calls - enforcing least privilege with audit receipts. Enterprise tier adds centralized policy management and multi-tenant reporting.
- ClawPatrol Gateway-level runtime security for OpenClaw agents with 6 lifecycle hooks, 9 threat detectors, and zero LLM bypass points. Includes SHA-256 file integrity monitoring for agent workspace files and Skill Sentinel integration for autonomous background skill scanning.
- Skill Sentinel Open-source security scanner that detects malicious code and hidden threats in AI coding assistant Skills (Cursor, Claude Code, etc.) - featuring full-file analysis without truncation, multi-agent AI pipeline analysis, VirusTotal malware detection, and cross-file threat correlation. Available via pip and npm.
- RAYDER Chatbot security testing tool for adversarial red teaming of AI chatbots, designed to identify vulnerabilities in production-facing conversational AI systems through structured vulnerability assessment.
- Customer-Facing Agents Solution Solution for securing and accelerating approval of customer-facing AI agents in regulated industries - producing an Agent Release Packet including policy bundle, data registry, approved actions catalog, regression proof, and audit artifacts - enabling 30-day deployment cycles.
- Secure Vibe Coding Solution Solution combining Skill Sentinel (Layer 1 supply-chain scanning) and Guardrails for coding agents (Layer 2 runtime governance) to secure AI-assisted development workflows without blocking developer velocity.
- Third-Party AI Risk Solution Vendor risk management solution that replaces questionnaire cycles with automated Vendor Risk Packets, continuous drift monitoring, and Renewal Memos for AI embedded in SaaS tools, copilots, and third-party MCP servers.
- MCP Security Solution Complete MCP governance program combining MCP Scanner, MCP Gateway, central MCP Registry, project-level allowlists, and runtime enforcement - enabling enterprises to scan, approve, assign, and monitor MCP servers with full audit trails.
- AI Compliance & Audit Solution Compliance solution that maps AI governance policy and EU AI Act/NIST requirements to enforceable controls - validating them under real attack paths via Red Teaming and exporting Evidence Packs with runtime receipts for audit readiness.
- Frontier Models Solution Pre-release evaluation and training signal solution for frontier model builders - producing Release Gate Packs, coverage maps, and safety SFT/alignment data from checkpoint evaluations.
- AI Asset Scanner Unified vulnerability scanner covering AI endpoints, MCP servers, data risk, model files, prompts, web apps, and URL content - with sub-5-minute average scan time and 98% detection rate.
- Multimodal AI Security Solution Multimodal AI Security Solution safeguarding text, image, and voice AI systems, covering security and compliance across text, image, and audio modalities.
- Safety Aligned DeepSeek R1 Model Safety-aligned variant of the DeepSeek-R1 model released by Enkrypt AI following their security red team study that found the base model 11x more likely to generate harmful content than comparable models.
- Agent Risk Taxonomy Granular taxonomy categorizing AI agent risks across 7 core domains, 21 risk categories, 5 framework mappings, and 100+ specific risk scenarios, mapped to OWASP Agentic AI, MITRE ATLAS, EU AI Act, NIST AI RMF, and ISO 42001.
- LLM Safety Leaderboard Independent safety benchmark ranking 200+ frontier models across jailbreak susceptibility, bias potential, malware presence, and toxicity - providing 4 risk scores with 24x7 real-time data and continuous red team evaluations.
Companies that use Enkrypt AI
Customer profileNamed customers7 records
Segments4 records
Ideal customer profiles4 records
Enkrypt AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration20 records
AI capability8 records
Feature9 records
Enkrypt AI partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core, strategic, regional and technical.
- NetAppcoreForward-looking collaboration to address AI data governance challenges at machine scale in enterprise environments. Partnership aims to build a unified security graph correlating AI workload risk signals with data sensitivity, regulatory classifications, identity context, and access behavior to enable real-time enforcement at the storage layer.
- Cherry BekaertstrategicStrategic alliance to enhance AI security, governance, and compliance offerings for clients. Combines Cherry Bekaert's risk and compliance advisory experience with Enkrypt AI's automated testing, validation, and real-time security guardrails. Joint offering helps organizations deploy AI responsibly while navigating evolving regulatory and security risks including ISO 42001.
- Kode-1regionalPartnership to combine AI governance, security, and risk management expertise to help enterprises in APAC adopt AI responsibly and at scale.
- TruefoundrystrategicPartnership for responsible AI delivery ensuring safe, compliant AI adoption with unified governance, security, and compliance for generative AI in healthcare and beyond.
- AscentstrategicPartnership providing regulated enterprises and BPOs with enforceable AI governance, real-time guardrails, and audit-ready compliance to scale AI confidently without increasing regulatory risk.
- Citrix NetScalertechnicalIntegration with Citrix NetScaler to secure enterprise GenAI deployments with prompt validation, compliance readiness, and scalable enterprise protection.
Scale indicators4 records
Recent moves6 records
Expansion highlights6 records
Enkrypt AI competitors and assessment
Company assessmentDirect peers
- Lakera: Lakera offers Lakera Guard and Gandalf for LLM prompt-injection and data-leakage protection, making it the closest direct competitor to Enkrypt AI's Agent Guardrails and Red Teaming product line, targeting similar enterprise buyers.
- Protect AI: Protect AI provides an AI/ML security platform spanning model scanning, guardrails and red-teaming (rebranded from its 2024 acquisition of Laiyer AI), overlapping head-on with Enkrypt AI's Agent Guardrails, Red Teaming and MCP Scanner capabilities.
- Robust Intelligence (Cisco AI Defense): Robust Intelligence (acquired by Cisco in 2024) sells AI firewall and model vulnerability testing that maps directly to Enkrypt AI's runtime guardrails and continuous red-teaming products, now with Cisco's enterprise distribution.
- HiddenLayer: HiddenLayer offers an AI Security Platform covering model scanning, adversarial attack testing and runtime protection for generative AI models, positioning it as a direct competitor to Enkrypt AI's Agent Guardrails and AI Asset Scanner portfolio.
- Calypso AI: Calypso AI provides LLM security, red teaming and AI risk governance tooling for enterprises, closely overlapping with Enkrypt AI's Agent Red Teaming, Policy Engine and Compliance & Audit solutions.
- WhyLabs: WhyLabs delivers AI observability, LLM evaluation and guardrails for production generative AI, directly comparable to Enkrypt AI's runtime guardrails and AI Observability-style monitoring across model and agent behavior.
- Arthur AI: Arthur AI provides an enterprise observability and evaluation platform for LLM applications, including guardrails and performance monitoring that overlap with Enkrypt AI's Agent Guardrails and Monitor modules.
Broad incumbents
- Palo Alto Networks: Palo Alto Networks (Prisma AI Security and Cortex) is a large incumbent cybersecurity vendor rolling out AI/GenAI policy enforcement and runtime protection that competes broadly with Enkrypt AI's full-stack agentic security suite.
- CrowdStrike: CrowdStrike's Falcon platform is layering in AI workload protection and agent monitoring (Charlotte AI) that overlaps with Enkrypt AI's runtime AI security and MCP-level monitoring for Fortune 500 customers.
- Microsoft (Azure AI Content Safety / Prompt Shields): Microsoft Azure AI Content Safety, Prompt Shields and Azure AI Foundry safety evaluations offer native guardrails and red-teaming for Azure-deployed LLMs, providing a bundled incumbent alternative for enterprises already standardized on Azure.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks5 records
Key highlights7 records
Customer concentration
Enkrypt AI social profiles
Digital presenceEnkrypt AI compliance and trust
Trust signalCompliance4 records
Enkrypt AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Enkrypt AI leadership team
Management profileNumber of profiles
Profiles4 records
Enkrypt AI funding detail
Funding detailFunding overview
Funding rounds3 records
Investors8 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Enkrypt AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Enkrypt AI
What does Enkrypt AI do?
Enkrypt AI builds an Agentic Security and Compliance platform that provides runtime guardrails, adversarial red teaming, governance policy enforcement, and data risk auditing for enterprise AI deployments. The platform covers the full agentic stack - agents, tools, RAG, MCP servers, and Skill ecosystems - across text, image, audio, and code modalities with automated compliance mapping to EU AI Act, NIST, OWASP, and ISO 42001 frameworks. Revenue is generated primarily through enterprise SaaS subscriptions with free trials and open-source community tools driving developer adoption.
Is Enkrypt AI a public or private company?
Enkrypt AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was Enkrypt AI founded?
Enkrypt AI was founded in 2024. It employs 11 to 50 people.
Where is Enkrypt AI based?
Enkrypt AI is headquartered in Boston, United States, in the North America region.
How does Enkrypt AI make money?
Two revenue lines are on record. Enterprise SaaS Platform is the primary driver. The others are open Source Products.
Who are Enkrypt AI's main competitors?
Direct peers on record are Lakera, Protect AI, Robust Intelligence (Cisco AI Defense), HiddenLayer, Calypso AI, WhyLabs and Arthur AI. Broad incumbents are Palo Alto Networks, CrowdStrike and Microsoft (Azure AI Content Safety / Prompt Shields).
Does Enkrypt AI have an API?
Yes. Enkrypt AI offers a Python SDK (enkryptai-sdk) providing programmatic access to its security platform. The SDK includes: guardrails_client.detect() for runtime prompt/injection detection, redteam_client with RedTeamConfig for adversarial testing task submission, policy_client.upload() for uploading governance policy text, data_risk_client.scan() for scanning enterprise data folders, and mcp_client.scan() for scanning MCP server repositories. The platform is API-first and works with existing model stacks. Developer documentation is at docs.enkryptai.com.
What industry is Enkrypt AI in?
Enkrypt AI's product category is AI Security & Compliance Software. Its primary akta.pro industry code is HDAEANAG, Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII), with a secondary code of HDAAAMAA, AI Governance, Risk & Compliance (GRC) Platforms. Its NAICS code is 513210 and its SIC code is 7372.