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.
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.
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