DeepKeep
Security for AI Ecosystems
That Builds Trust
Secure.
Multimodal.
Trustworthy.
Adverserial Attacks
Cyber Attacks
Risk Exposures
Regulatory Compliance
Trust
"If you're not concerned about AI safety, you should be."
Elon Musk
"Software ate the world, now AI is eating software."
Jensen Huang
"Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless we learn how to avoid the risks."
Stephen Hawking
"AI is not something that comes from Mars. It’s something that we shape."
Francesca Rossi
"Computers are incredibly fast, accurate, and stupid. Human beings are incredibly slow, inaccurate, and brilliant.."
Albert Einstein
Optimized performance, control and validation across diverse source domains, models, frameworks and datasets
AI Firewall
Continuously updated, real-time alert triggering throughout the pre- and post-deployment environment.
Automated AI Red Teaming
Adaptive evaluation, assessing AI model robustness and trustworthiness. Streamlined deployment and evaluation metrics.
AI-Native
Enabling security teams, data scientists, ML engineers and compliance teams to gain valuable insights into the risks and challenges of AI.
DeepKeep protects the infinitely expanding AI surface area
beyond the model’s learned space, even
beyond the AI application’s own comprehension
AI Generates
Unpredictable Risk
Only AI-Native Security can comprehend and protect the boundless connections
and intricate logic of AI/LLM.
See actual, validated not academic threats
Protect multimodals including LLM, vision & tabular
See exposures within and across models throughout the AI pipeline
Holistic security & trust protection
Our Unique GenAI Built Solution for AI/LLM Security and Trust
DeepKeep's AI security includes risk assessments and confidence evaluation, protection, monitoring, and mitigation, covering R&D phase of machine learning models through the entire product lifecycle.