DeepKeep
DeepKeep combines security testing and runtime controls for AI models and applications. It scans model components, tests agents and models with adversarial inputs, and applies guardrails to live application traffic.
The linked official pages do not list plan prices.Is DeepKeep right for you?
Good for
- Teams building or operating custom AI applications, autonomous agents, or computer-vision pipelines that need integrated runtime protection and adversarial testing across the AI lifecycle.
- Provides adaptive adversarial testing (red teaming) for models, applications and agents.
- Offers runtime detection and enforcement guardrails for live AI interactions.
Keep in mind
- Website does not publish product pricing or self-serve plan details.
- linked official pages do not document specific API contracts, SDKs, or integration steps for buyers.
- Before deploying controls, test them with your own models, agent tools, and application traffic; confirm coverage of the risks you need to address.
Pricing and plan limits
No published page shows plan names, prices, or billing commitments; the site includes 'Book a Demo' rather than public pricing information.
More about capabilities and limits
Documented strengths
Provides adaptive adversarial testing (red teaming) for models, applications and agents.
Offers runtime detection and enforcement guardrails for live AI interactions.
Includes supply-chain checks via static and dynamic model scanning.
Limitations to consider
Website does not publish product pricing or self-serve plan details.
linked official pages do not document specific API contracts, SDKs, or integration steps for buyers.
Choosing a plan
Request a demo that runs DeepKeep’s red teaming, runtime guardrail enforcement, and model scanning against a representative model and a sample of live traffic to validate alerting, policy behavior, and integration points.
Based on the linked product documentation.
Official sources
Alternatives to DeepKeep
Choose around the work you need to do.
Cisco AI Defense
Compare Cisco AI Defense for this workflow: enterprises needing network-layer discovery and runtime protection for AI models across multi-cloud environments.
Noma Security
Compare Noma Security for this workflow: security teams responsible for discovering, adversarially testing, and enforcing policies across agentic AI deployments and many vendor AI integrations.