Promote Sign in Sign up

AI security 2026 Rank: #2456

DeepKeep ✓

The AI Security Platform That Builds Trust

202 views 3 saves Unknown
AI Runtime Protection AI Security Testing AI Usage Control
More categories (4)
Local Vibe AI Red Teaming AI Security AI security
Visit website Sign in to save

Overview

DeepKeep is an AI Security Platform designed to ensure the security of AI applications, models, and agents throughout their lifecycle, from development to real-time use.

The unique GenAI-built suite offers comprehensive full-lifecycle protection regardless of the model. Among its key products are DeepKeep for LLM, an end-to-end security solution for language models, and DeepKeep for Vision, which helps to keep computer vision pipelines secure. It also provides an AI Firewall, which includes a range of runtime guardrails, and an AI Red Teaming feature for adaptive evaluation and robustness testing.

DeepKeep's AI Lens aims to provide visibility and access control across teams, while the AI Agent Scanner and Model Scanning offer attack surface scanning for agents and static & dynamic supply-chain checks respectively. The platform has been recognized by several industry research reports for its depth of runtime guardrails and adversarial testing. Its purpose-built, enterprise-proven approach ensures that its capabilities meet the demands of scale and compliance in the real-world environment.

Its multimodal functionality understands text, images, and video as a single signal, thereby enabling a more insightful evaluation against the intent of every request. A policy enforcement feature provides real-time security, allowing for immediate action rather than post-incident responses.

The platform can be used in various environments, including SaaS, on-premises, and even air-gapped systems.
  • Ai Firewall
  • Ai Red Teaming
  • Vibe Ai Red Teaming
  • Ai Usage Control
  • Ai Agent Attack Surface Mapping
  • Model Scanning
DeepKeep website

Access & connections

Where you can use DeepKeep, and what it plugs into.

Platforms

Web

Integrations

MCP

API

Public API available

Browse other tools with an API

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Code
  • Image
  • Text
  • Video

Output

  • Code
  • API
  • Text

Highlights

  • Agents
  • API
  • MCP
  • Local

Supported features

  • Agents
  • API
  • MCP
  • Runs Locally

Compare alternatives

Similar tools in the catalog — with a clear reason to open each one.

Why look Higher community rating

Full comparison

Free + from $10/yr

Full comparison

Why look Higher community rating

Full comparison

Why look Higher community rating

Full comparison

No pricing

Full comparison

No pricing

Full comparison

Releases 1

Initial release August 21, 2026 Current
Initial release of DeepKeep.

FAQ 12

What is DeepKeep?
DeepKeep is an AI Security Platform designed to ensure the security of AI applications, models, and agents throughout their lifecycle. It is built to meet the demands of scale and compliance in a real-world environment, offering full-lifecycle protection for any model. The platform understands text, images, and videos as a single signal, which allows for an insightful evaluation against the intent of every request. It features real-time security through policy enforcement and works in various environments, including SaaS, on-premises, and even air-gapped systems.
What are the key features of DeepKeep?
Key features of DeepKeep include its AI Firewall, a suite of runtime guardrails that offers real-time detection and protection; the AI Red Teaming feature for adaptive evaluation and robustness tests; DeepKeep for LLM, an end-to-end security solution for language models, and DeepKeep for Vision, a solution for computer vision pipeline security. Other features include AI Agent Scanner for attack surface scanning, Model Scanning for static & dynamic supply-chain checks, AI Lens for visibility & access control, and policy enforcement for real-time security.
How does the AI Firewall in DeepKeep work?
DeepKeep's AI Firewall engages in runtime detection and guardrails, providing real-time security against potential threats. It acts defensively within the AI's operating environment so that if potentially harmful data or requests are identified, the firewall can respond immediately to neutralize the threat. It does not simply detect threats but employs strategies such as blocking, redacting, replacing, or alerting.
What is the purpose of the AI Red Teaming feature in DeepKeep?
The AI Red Teaming feature in DeepKeep is designed for adaptive evaluation and robustness tests. This means it utilizes adversarial testing methods to evaluate the resilience of AI applications, models, and agents to attacks. It proactively finds vulnerabilities and underscores areas for improvement, striving to optimize the system's overall security posture.
Could you tell me more about the Model Scanning offered by DeepKeep?
DeepKeep's Model Scanning mechanism performs static and dynamic supply-chain checks. It scrutinizes various aspects of an AI model to identify potential security risks and vulnerabilities, monitoring for vulnerabilities not only in the AI's design and structure but also in the inputs and outputs throughout the modeling process.
What does DeepKeep mean by 'Full-lifecycle Protection'?
By 'Full-lifecycle Protection', DeepKeep refers to its ability to secure AI applications, models, and agents from development to real-time use. It covers every stage of the AI's lifecycle, identifying and mitigating risks from the initial building phase, through testing and deployment, all the way to real-time application and use.
How does DeepKeep for LLM improve security?
DeepKeep for LLM significantly enhances security by offering an end-to-end security solution for language models. It takes comprehensive measures to protect language processing AI programs against adversarial attacks and other security risks, thus helping to maintain the integrity of these models throughout their lifecycle.
What is the role of DeepKeep for Vision?
DeepKeep for Vision plays a vital role in securing computer vision pipelines. It applies extensive safeguards to ensure that AI systems dealing with image processing and interpretation are well protected against potential security threats, thereby preserving the reliability of the insights obtained from such AI.
How does DeepKeep's AI Lens enhance visibility and access control?
DeepKeep's AI Lens is designed to enhance visibility and access control across teams that work with AI. It provides a clear overview of the AI landscape and offers effective access management tools. This results in a more transparent workflow and helps maintain control over who has the authority to interact with various AI resources.
What is the significance of the AI Agent Scanner in DeepKeep?
The AI Agent Scanner in DeepKeep adds to its robust security suite by performing attack surface scans for agents. By identifying the potential avenues for attack within AI agents, it allows for early detection and mitigation of vulnerabilities, thereby enhancing overall system security.
How does the Policy Enforcement feature of DeepKeep assure real-time security?
DeepKeep's Policy Enforcement feature assures real-time security by allowing for immediate action on the detection of any potential threats or breaches. Instead of reacting to security incidents after they have happened, this feature enables proactive measures, reducing the potential for damage and strengthening the AI system's overall security robustness.
Can I use DeepKeep for SaaS Security?
Yes, DeepKeep can certainly be used for SaaS Security. Its comprehensive security measures and adaptable design make it suitable for SaaS environments. It can offer protection from development through to real-time use across the entire AI lifecycle in a SaaS context.
DeepKeep
Visit website