What DeepKeep does
DeepKeep is an AI-security and trust platform offering red teaming, runtime firewall controls, employee-use governance, agent discovery, and model supply-chain scanning.
DeepKeep covers LLM, vision, and multimodal security across development and operation. Its named capabilities include AI Firewall, AI Red Teaming, AI Lens or usage control, AI Agent Scanner, and Model Scanning, allowing a program to combine application tests, supply-chain checks, employee governance, and runtime policy.
Access is sold through an enterprise proposal rather than a public rate card. Pricing can depend on modules, models, applications, users, traffic, deployment, integrations, support, and services. Marketplace availability can simplify procurement but does not establish the final entitlement, data path, or total cloud cost.
Claims of detecting hallucination, bias, toxicity, personal data, or attacks must be validated for the organization's languages, modalities, domains, and thresholds. Automated scores can encode their own bias, visual prompt injection can evade text-only controls, and inline blocking can harm availability. Preserve originals and test evidence, use representative human-labeled cases, stage enforcement, and keep deterministic permissions around agent actions.
How DeepKeep works
DeepKeep connects to approved AI applications, models, agents, or user access paths. Red-team and model-scanning modules evaluate configured systems before release, while AI Firewall and usage controls inspect supported runtime inputs and outputs for attacks, sensitive data, harmful content, or policy violations. Agent discovery maps components and capabilities. Humans define risk criteria, validate findings, authorize tests, tune controls, and approve response.
How to set up DeepKeep
Choose systems and risk criteria
Define models, modalities, languages, applications, agents, user groups, sensitive data, prohibited behavior, metrics, and accountable reviewers.
Confirm proposal and architecture
Scope modules, deployment, integrations, regions, traffic, retention, support, marketplace charges, service levels, and renewal terms.
Connect an isolated pilot
Use scoped credentials and synthetic or approved data, validate what content leaves the environment, and prevent red-team traffic from causing real actions.
Calibrate evaluation and firewall
Build representative labeled cases, test multilingual and multimodal attacks, measure false results and latency, and tune alert or block thresholds.
Govern production operation
Assign review and outage owners, preserve evidence, audit access and retention, monitor drift and bypass, and reassess after system or policy changes.
DeepKeep FAQs
What products are included in DeepKeep?
Current materials describe AI Firewall, AI Red Teaming, AI usage controls, AI Agent Scanner, and Model Scanning; exact packaging depends on the proposal.
Does DeepKeep support multimodal AI?
The vendor describes support for LLM, vision, and multimodal systems. Validate each required model, input type, language, and deployment in a pilot.
How much does DeepKeep cost?
Pricing is set through an enterprise proposal; modules, systems, users, traffic, deployment, services, support, and cloud marketplace costs can affect total cost.
Can an AI firewall stop every prompt injection?
No. New attacks, images, encodings, context, tools, and model changes can evade controls. Layer testing, least privilege, deterministic authorization, monitoring, and human approval.
Was DeepKeep tested hands-on for this listing?
No. This is a documentation-based review of current official product, legal, privacy, and update materials.
Listing reviewed 2026-08-09. Product details and pricing can change; verify important terms on the provider's website.
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