Hyperactive
Dynamic
Complex
Unpredictable
Hyperactive
Dynamic
Complex
Unpredictable
Hyperactive
AI Needs

AI-Native Security

DeepKeep is the only Generative AI built platform that continuously identifies seen, unseen and unpredictable AI / LLM vulnerabilities throughout the AI lifecycle with automated security and trust remedies.

Book a Demo

DeepKeep is the only Generative AI built platform that continuously identifies seen, unseen & unpredictable AI / LLM vulnerabilities throughout the AI lifecycle with automated security & trust remedies.

Book a Demo

Trusted by AI pioneers

because it doesn’t matter where the AI weakspot is or what caused it

Your AI just needs to work for you.

Adverserial Attacks On Your AI

Cyber Attacks Leveraging Your AI

AI Risk Exposures Created By LLM / Gen AI

AI Regulatory Compliance

AI Trust

Optimized performance, control and validation across your diverse source domains, models, frameworks & datasets

Continuous Risk Detection

Adaptive, automated and always updated risk assessment of AI models. Assessing both the model’s robustness and trustworthiness.

Automated Remedies

From data curation through model training to model inferencing throughout the pre- and post-production environment.

Through the AI Lifecycle

Adaptive, automated and always updated risk assessment of AI models. Assessing both the model’s robustness and trustworthiness.

Deepkeep protects the infinitely expanding AI surface area

beyond the model’s learned space, even beyond the AI model’s own comprehension

AI Generates Unpredictable Risk

Only AI-Native Security can comprehend & protect the boundless connections and intricate logic of AI/LLM.

See actual, validated not academic threats

Protect multi-modals including LLM, vision & tabular

See exposures within and across models throughout the AI pipeline

Holistic security & trust protection

Our Unique Generative-AI Built Solution For AI/LLM Security & Trust

DeepKeep's AI security includes risk assessments and confidence evaluation, protection, monitoring, and mitigation from the R&D phase of machine learning models through the entire product lifecycle.

Seen, unseen & unpredictable vulnerabilities, validated not academic threats

Academic vs actual threats exhaust resources

Security & trust for holistic protection

Exposure within & across models throughout the AI pipeline

Protecting multimodal including LLM, Image, Tabular

Physical sources beyond digital surface area

Why Deepkeep?

Only AI-Native security can comprehend and protect theboundless connections andIntricate logic of AI/LLM

Only a tightly coupled security & trust solution can identify causes and targeted remedies for security, compliance or operational risk

Do you know your exposures created by AI across it’s ever expanding, unpredictable surface area?
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