DeepKeep is an AI security platform designed to protect AI applications, models, and agents throughout their entire lifecycle, from development and testing through deployment and real-time operation. It helps organizations identify and manage security risks associated with AI systems as they are built, deployed, and used in production.
Key Features
- AI security
- AI application protection
- AI model security
- AI agent security
- AI lifecycle protection
- Development-stage security
- Runtime security
- Threat detection
- AI risk management
- Real-time AI monitoring
- Security testing
Pros
- Provides security coverage across the AI lifecycle
- Designed to protect applications, models, and AI agents
- Supports both development and real-time production environments
- Helps organizations identify potential AI security risks
- Useful for businesses deploying AI at scale
- Addresses security needs across different types of AI systems
Cons
- AI security platforms can require technical expertise to configure
- Organizations may need to integrate it into existing security workflows
- Security findings may require expert review and remediation
- AI environments can change rapidly, requiring continuous monitoring
- Businesses should evaluate coverage against their specific AI infrastructure and threat model
Who Is This Tool For?
- AI companies
- Enterprise businesses
- AI developers
- Machine learning teams
- Security teams
- DevSecOps teams
- AI engineering teams
- Organizations deploying AI agents
- Businesses developing AI applications
- Companies concerned with AI security and compliance
Pricing Packages
- Free: Basic AI security capabilities with limited access, where available.
- Paid: Advanced AI security, monitoring, testing, and expanded protection features.
- Premium: Comprehensive AI lifecycle security, advanced threat protection, runtime monitoring, and enterprise-scale capabilities.
