Mitigating the OWASP Top 10 for LLMs: Build secure gen AI applications (AIM283)

Building Secure AI Applications: A 5-Step Approach

Introduction

  • Many organizations struggle to deploy AI applications due to data security and privacy concerns.
  • OAS (Open AI Safety) provides guidance on the key issues to address for secure AI development.
  • This presentation outlines a 5-step framework to help organizations build AI applications faster, safer, and with lower stress.

Key AI Usage Areas

  • Internal applications: Shadow AI being developed without governance
  • Developer experimentation: Lack of security guardrails
  • SaaS applications: Exposing sensitive corporate data to external services

Prioritizing OAS Vulnerabilities

  • The most important vulnerabilities to address are:
    1. Sensitive information disclosure
    2. Excessive agency

Holistic Approach to AI Security

  • Security is not just about prompt security, but a comprehensive approach across data, models, and interactions.
  • Unstructured data governance is a critical foundational element.

5-Step Approach to Building Secure AI Applications

  1. Automated Discovery: Identify all AI models and agents being used in the organization.
  2. Model Risk Assessment: Assess the risks and vulnerabilities of the models being used.
  3. Data Understanding: Develop a knowledge graph to understand the data being used by the AI pipelines.
  4. Security Controls:
    • Data-level controls: Sanitization, entitlements
    • Model-level controls: Conversational firewalls for prompts, retrieval, and responses
  5. Automated Compliance: Tie security controls to compliance frameworks, making compliance a byproduct.

Conclusion

  • This 5-step approach provides a comprehensive framework to build secure AI applications, addressing key OAS vulnerabilities.
  • The approach emphasizes visibility, risk assessment, and the implementation of holistic security controls.
  • Automating the process and aligning it with compliance requirements are crucial for successful and secure AI deployment.

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