Tool overview
DeepKeep is listed under AI Governance Safety & Evaluation AI tools.
What is DeepKeep?
DeepKeep applies AI-native security across the AI lifecycle. It helps organizations discover AI assets, assess risk, red-team models and applications, enforce policies, monitor employee AI use, and protect production agents and generative AI services against prompt injection, unsafe outputs, and data leakage.
Best for
Enterprise security teams protecting generative AI and autonomous agents
Who is it for?
Decision note
Confirm supported models and modalities, deployment, policy controls, red-team scope, runtime latency, integrations, data retention, certifications, partner terms, support, and the current quote.
Key features
Discovery and attack-surface mapping for AI assets
Risk assessment and posture management
Automated red teaming for models and applications
Runtime protection against prompt injection
Policy controls for employee AI use
Monitoring for agents, applications, and AI services
Use cases
Securing customer-facing AI applications
Testing agents before production
Governing employee use of AI tools
Reducing prompt injection and data leakage
Pros
- Covers the full AI lifecycle
- Supports text, image, and tool-based risks
- Official global partner network
Cons
- Pricing requires a sales process
- Controls need expert tuning
- Novel attacks can evade detection
Limitations
DeepKeep can miss emerging attacks, block valid behavior, or create false confidence. Security teams must authorize tests, validate findings, tune controls, protect sensitive data, monitor latency and business impact, and maintain broader application security.
Pricing details
Billing options
Pricing note
DeepKeep uses a demo-led enterprise model. No stable public starting price, ongoing free plan, or formal self-service trial was confirmed from the reviewed official sources.
Supported languages
- English
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