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features
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support

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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

Current models are costly to train, complicated to implement, challenging to validate, and notoriously susceptible to generating misleading information. At Symbolica, we are reimagining the process of machine learning from its foundation. By leveraging the highly expressive framework of category theory, we create models that can learn and understand algebraic structures. This approach equips our models with a comprehensive and systematic representation of the world that is both explainable and verifiable. Our goal is to empower developers and end users to grasp and articulate the reasons behind model outputs. This level of interpretability and control over the outputs—such as the ability to remove proprietary data from the training set—is essential for applications that are critical to mission success. Additionally, we believe that enhancing transparency in how models derive their conclusions will foster greater trust and collaboration between humans and machines.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Dify Yes 
LangChain Yes 
Make Yes 
TrueFoundry Yes 
n8n Yes 

Integrations

Dify No 
LangChain No 
Make No 
TrueFoundry No 
n8n No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

DeepKeep

Founded

2021

Country

Israel

Website

www.deepkeep.ai

Vendor Details

Company Name

Symbolica

Website

www.symbolica.ai

Product Features

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Alternatives

Alternatives