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DeepKeep

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Secures AI applications by identifying and mitigating vulnerabilities with AI-native security solutions.

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Agents Security AI Detection

Overview

DeepKeep is an AI-native security platform that continuously identifies seen, unseen, and unpredictable vulnerabilities throughout the AI lifecycle, providing automated protection and trust remedies for generative AI, large language models (LLMs), and multimodal systems. It empowers large enterprises to manage risk and safeguard growth with robust, adaptive security across R&D and deployment.

Key Features:

  • Continuous risk assessment: Adaptive evaluation of AI model robustness and trustworthiness, with streamlined deployment and evaluation metrics.
  • AI Firewall: Real-time, continuously updated protection and alert triggering for pre- and post-deployment environments.
  • Multimodal security: Protects a range of AI models including LLMs, vision, and tabular data, beyond traditional AI security boundaries.

Use Cases:

  • Large enterprise AI deployments: Securing mission-critical AI applications for corporates relying on GenAI and LLMs.
  • Regulated industries: Providing risk assessment and compliance for finance, healthcare, and automotive sectors.
  • AI research & product development: Safeguarding R&D pipelines and ensuring trustworthiness throughout the AI lifecycle.

Benefits:

  • Enhanced trustworthiness: Builds confidence in AI applications by managing and mitigating risks effectively.
  • Dynamic protection: Adapts to new threats in real-time for ongoing, evolving security.
  • Holistic coverage: Offers end-to-end security from R&D through deployment, protecting the entire AI product lifecycle.

Capabilities

  • Enhances AI Security: Implements AI-native security protocols to protect AI applications and LLMs from vulnerabilities.
  • Conducts Continuous Risk Detection: Continuously monitors AI systems to identify potential risks and vulnerabilities throughout the AI lifecycle.
  • Automates Security Remedies: Deploys automated solutions to address identified vulnerabilities and maintain the security of AI applications.
  • Provides Holistic Protection: Offers comprehensive security coverage for AI systems, including multi-modal data such as LLM, vision, and tabular data.
  • Performs Generative AI Risk Assessments: Executes thorough risk assessments on Generative AI models to identify potential weaknesses and threats.
  • Conducts Penetration Testing: Performs penetration testing on AI models to uncover vulnerabilities and security gaps.
  • Detects Model Hallucinations: Identifies and mitigates the tendency of AI models to generate nonsensical or false outputs.
  • Prevents Data Leaks: Implements measures to prevent AI models from leaking private or sensitive data.
  • Assesses Language Toxicity: Evaluates AI-generated language for toxic, offensive, harmful, or discriminatory content.
  • Analyzes Biases and Fairness: Assesses AI models for biases and ensures fairness in their outputs.
  • Performs Weak Spot Analysis: Identifies and addresses weak spots in AI models to improve their overall robustness.
  • Provides Specialized Security Solutions: Delivers tailored security solutions designed specifically for AI environments.
  • Utilizes Automated Risk Management: Employs continuous, automated updates to assess and manage risks throughout the AI model's lifecycle.
  • Offers Comprehensive Security Solutions: Provides end-to-end security solutions from data curation and model training to inference.
  • Protects Physical Sources: Extends security measures beyond the digital surface area to include physical sources.
  • Manages and Mitigates Risks: Effectively manages and mitigates risks to build higher trust in AI applications.
  • Adapts to New Threats: Continuously adapts to new threats in real-time, providing evolving protection for AI systems.
  • Secures Various AI Models: Secures a wide range of AI models, including LLM, vision, and tabular data.
  • Offers API Integration: Provides APIs for seamless integration with existing corporate systems.
  • Enhances Adaptability: Improves adaptability through compatibility with various AI models.
  • Integrates Real-Time Security Updates: Integrates with systems to provide real-time security updates and risk assessments.

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