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Description
DeepKeep is an advanced security platform designed to assist organizations in the secure development, deployment, and utilization of AI applications, agents, models, and tools for employees. It effectively tackles challenges that conventional security measures are ill-equipped to handle, such as prompt injection, the risk of sensitive data leaks, hallucinations, unsafe outputs, agent misuse, malicious models, and shadow AI practices.
The platform ensures the security of the entire AI lifecycle by incorporating features like automated and Vibe AI Red Teaming, a real-time AI Firewall with guardrails, AI Usage Control, an AI Agent Scanner, and comprehensive Model Scanning. These tools empower security teams to detect vulnerabilities ahead of deployment, analyze agent attack surfaces, scrutinize models, oversee employee AI usage, and safeguard AI interactions in live environments.
DeepKeep's versatility is evident as it is model-agnostic, multimodal, and equipped with multilingual capabilities. Furthermore, it accommodates various deployment options such as SaaS, private cloud, on-premises, and air-gapped environments, enabling enterprises to secure their AI while adhering to privacy, sovereignty, and regulatory standards. With its robust framework, DeepKeep not only enhances security but also fosters trust in AI technologies across diverse sectors.
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
API Access
Has API
Integrations
Antigravity CLI
Claude Code
Cursor
Dify
Gemini CLI
GitHub
GitHub Copilot CLI
Grok
Hermes Agent
Kimi
Integrations
Antigravity CLI
Claude Code
Cursor
Dify
Gemini CLI
GitHub
GitHub Copilot CLI
Grok
Hermes Agent
Kimi
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$4.99 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DeepKeep
Founded
2021
Country
Israel
Website
www.deepkeep.ai
Vendor Details
Company Name
HOL
Founded
2024
Country
United States
Website
hol.org/guard