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Description
Enkrypt AI is a specialized platform designed for enterprise-level security, compliance, and governance in the realm of artificial intelligence, focusing particularly on safeguarding large language models, AI agents, multimodal systems, and machine-critical processes. Catering to industries such as finance, healthcare, insurance, and government, Enkrypt AI empowers organizations to innovate quickly while ensuring safety and maintaining a competitive edge.
The platform addresses the entire spectrum of AI security through several key features:
Guardrails: With ultra-low latency (under 50 milliseconds), policy-driven guardrails effectively mitigate risks associated with prompt injections, unauthorized data exposure, hazardous outputs, and non-compliant behavior of agents in real-time.
Red Teaming: The system implements policy-driven multimodal attack simulations for LLMs and AI agents prior to their deployment in order to identify vulnerabilities.
MCP Security: The MCP Scan Hub and Secure MCP Gateway offer comprehensive protection for MCP servers, tools, and agent toolchains throughout the entire process.
Compliance: Ongoing monitoring ensures adherence to standards such as NIST AI RMF, OWASP LLM Top 10, the EU AI Act, HIPAA, and FINRA, with certifications including ISO 27001 and SOC 2 Type II. Recognized as a Gartner Cool Vendor for 2025, Enkrypt AI sets itself apart in the industry.
Description
HOL Guard is a security layer designed for AI agents that operates on a local-first basis, monitoring the actions of an AI assistant and preemptively preventing potentially harmful activities. It functions as an intermediary between the agent and the computer, assessing tool calls and local resources for various threats, including the risk of secret and credential leaks, harmful commands, actions driven by prompt injection, and the use of compromised or altered packages, as well as risky configurations and unsafe plugins, skills, hooks, and settings. Threats that are identified can be automatically blocked, while uncertain actions are temporarily halted to seek user consent, ensuring that individuals maintain oversight. Operating entirely on the developer’s local machine, Guard does not require an internet connection and refrains from uploading any files, prompts, or sensitive information. Local evaluations are typically completed in less than 50 milliseconds, and the implementation of Guard does not necessitate modifications to current code or workflows. It is compatible with various coding agents including Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Hermes, and OpenClaw, providing custom integrations that analyze actions prior to their execution. Additionally, this enhances the overall safety and reliability of AI interactions, fostering greater trust in automated processes.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Model Context Protocol (MCP)
Yes
Antigravity CLI
No
Claude Code
No
Cursor
No
Gemini CLI
No
GitHub
No
GitHub Copilot CLI
No
Grok
No
Hermes Agent
No
Kimi
No
Integrations
Model Context Protocol (MCP)
Yes
Antigravity CLI
Yes
Claude Code
Yes
Cursor
Yes
Gemini CLI
Yes
GitHub
Yes
GitHub Copilot CLI
Yes
Grok
Yes
Hermes Agent
Yes
Kimi
Yes
Pricing Details
Contact us for pricing
Free Trial
Yes
Free Version
No
Pricing Details
$4.99 per month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Enkrypt AI
Founded
2022
Country
United States
Website
www.enkryptai.com
Vendor Details
Company Name
HOL
Founded
2024
Country
United States
Website
hol.org/guard