HOL GuardHOL
|
||||||
Related Products
|
||||||
About
DeepKeep is an AI security platform that helps organizations securely build, deploy, and use AI applications, agents, models, and employee AI tools. It addresses risks traditional security controls were not designed for, including prompt injection, sensitive data leakage, hallucinations, unsafe outputs, agent misuse, malicious models, and shadow AI.
DeepKeep secures the full AI lifecycle through automated and Vibe AI Red Teaming, real-time AI Firewall and guardrails, AI Usage Control, AI Agent Scanner, and Model Scanning. It enables security teams to identify vulnerabilities before deployment, map agent attack surfaces, inspect models, control employee AI usage, and protect AI interactions in production.
DeepKeep is model-agnostic, multimodal, and natively multilingual. It supports SaaS, private cloud, on-premises, and air-gapped deployments, helping enterprises secure AI while meeting privacy, sovereignty, and regulatory requirements.
|
About
HOL Guard is a local-first runtime security layer for AI agents that watches what an AI assistant is about to do and stops risky actions before they happen. It sits between the agent and the computer, evaluating supported tool calls and local artifacts for threats such as secret and credential exposure, destructive commands, prompt-injection-driven actions, malicious or changed packages, risky MCP configuration, and unsafe plugins, skills, hooks, and settings. Known threats can be blocked automatically, while ambiguous actions are paused for user approval so people remain in control. Guard runs entirely on the developer’s machine, works offline, and does not upload files, prompts, or passwords. Local checks typically complete in under 50 milliseconds and require no changes to existing code or routines. It supports coding agents including Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Hermes, and OpenClaw, with tailored integrations that inspect actions before execution.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Security teams, AI engineers, Developers, in all enterprise sectors.
|
Audience
Developers and engineering teams in need of a tool to prevent AI coding agents from exposing secrets, executing destructive commands, or performing other risky actions
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
$4.99 per month
Free Version
Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Company InformationDeepKeep
Founded: 2021
Israel
www.deepkeep.ai
|
Company InformationHOL
Founded: 2024
United States
hol.org/guard
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Antigravity CLI
Not Supported
Claude Code
Not Supported
Cursor
Not Supported
Dify
Supported
Gemini CLI
Not Supported
GitHub
Not Supported
GitHub Copilot CLI
Not Supported
Grok
Not Supported
Hermes Agent
Not Supported
Kimi
Not Supported
|
Integrations
Antigravity CLI
Supported
Claude Code
Supported
Cursor
Supported
Dify
Not Supported
Gemini CLI
Supported
GitHub
Supported
GitHub Copilot CLI
Supported
Grok
Supported
Hermes Agent
Supported
Kimi
Supported
|
|||||
|
|
|