Mandiant's Approach to Securely Using AI Solutions
Jun 27, 2024
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Mandiant Consultants Trisha Alexander, Muhammed Muneer, and Pat McCoy explore securing AI workloads. They discuss implementing AI tools securely, distinguishing between safety and security testing, deploying AI solutions in cyber defense, and enhancing security maturity and governance for adopting technologies.
Securing AI workloads involves proactive controls, red-teaming, and AI integration in security operations.
Adopting Gen AI solutions for security requires governance, risk mitigation, and assessing security maturity.
Deep dives
Securing AI Solutions in Organizations
Organizations are developing various AI applications and tools, leading to the need for secure adoption of these AI solutions. A service offering has been developed to assist organizations in acquiring and developing these tools securely. The approach taken includes understanding the AI pipeline, identifying critical components like models and data, implementing controls and access controls, and performing assessments, threat modeling, and threat hunting to enhance security posture.
Designing Defensible Architectures
The focus is on designing defensible architectures to meet business needs without introducing unnecessary risk. Understanding the threats, using real-world adversarial techniques, and testing the effectiveness of technical and process controls are key steps in determining the readiness of a system for production. Red Teaming is employed to test the security of AI-related architectures by evaluating data security, model security, and environmental security.
Utilizing AI in Security Operations
Leveraging Gen AI in security operations brings benefits like creating and improving threat detections, guiding hunt queries, and functioning as a knowledge repository during investigations. By decreasing repetitive tasks and providing guidance on security-related queries, AI enhances analysts' efficiency and effectiveness. The integration of AI can address common challenges like task repetition and help in streamlining security operations.
Overcoming Challenges in Adopting Gen AI for Security
Organizations face challenges in adopting AI for security due to unfamiliarity with AI capabilities, concerns about data leakage, and difficulty in understanding the operational aspects. A focus on governance, framework development, and risk mitigation is crucial before integrating AI tools. Starting with a cyber defense assessment and ensuring adequate security maturity are essential precursors to successfully leveraging Gen AI solutions in security practices.
Mandiant Consultants Trisha Alexander, Muhammed Muneer, and Pat McCoy join host Luke McNamara to discuss Mandiant's recently launched services for securing AI. They discuss how organizations can proactively approach securing the implementation of AI workloads, red-team and test these security controls protecting generative AI models in production, and then also employ AI within the security organization itself.
For more, please see: https://cloud.google.com/security/solutions/mandiant-ai-consulting
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