DeepKeep AI-Native Security and Trustworthiness for AI Applications

DeepKeep

Discover how DeepKeep's AI-Native Security platform safeguards AI applications by identifying vulnerabilities and providing automated security remedies throughout the AI lifecycle.

DeepKeep AI-Native Security and Trustworthiness for AI Applications

DeepKeep stands at the forefront of AI-Native Security, offering unparalleled protection for AI applications. In an era where AI and Large Language Models (LLMs) are becoming increasingly integral to various sectors, the need for robust security measures has never been more critical. DeepKeep addresses this need by continuously identifying seen, unseen, and unpredictable vulnerabilities throughout the AI lifecycle, ensuring that AI applications remain secure and trustworthy.

At its core, DeepKeep is designed to empower large corporates that rely on AI, GenAI, and LLM technologies. By managing risk and protecting growth, DeepKeep enables these organizations to harness the full potential of AI without compromising on security. The platform's unique Generative AI built solution offers comprehensive risk assessments, confidence evaluation, protection, monitoring, and mitigation, covering the R&D phase of machine learning models through the entire product lifecycle.

One of the key features of DeepKeep is its ability to protect the infinitely expanding AI surface area, going beyond the model’s learned space and even beyond the AI application’s own comprehension. This is crucial in an environment where AI generates unpredictable risks that only AI-Native Security can comprehend and protect. DeepKeep's solution includes real-time detection, protection, and inference, ensuring holistic security and trustworthiness across multimodal data, including LLM, image, and tabular data.

DeepKeep's AI security is not just about protecting against adversarial attacks and cyber threats; it also addresses risk exposures and regulatory compliance. The platform's AI Firewall is continuously updated, providing real-time alert triggering throughout the pre- and post-deployment environment. This adaptive evaluation assesses AI model robustness and trustworthiness, streamlining deployment and evaluation metrics.

Moreover, DeepKeep enables data scientists, ML engineers, compliance, and CISO teams to gain valuable insights into the risks and challenges of AI. By offering a tightly coupled security and trust solution, DeepKeep identifies causes and targeted remedies for security, compliance, or operational risk, ensuring that AI applications are not only secure but also aligned with regulatory standards.

In conclusion, DeepKeep is revolutionizing AI security by providing a comprehensive, AI-Native solution that addresses the complex and ever-evolving challenges of AI and LLM technologies. With its advanced capabilities, DeepKeep is setting a new standard for AI security and trustworthiness, ensuring that organizations can confidently embrace the future of AI.

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