Securing Artificial Intelligence

AI security lapses and glitches affect even the most well-funded organizations, leading to reputational damage and, in some cases, financial liability. To strengthen AI security, the first step is to design a realistic mitigation strategy that addresses the growing diversity of threats and malicious actors. Read the Securing AI report to:

  • Identify the capabilities and tools now available for neutralizing threats
  • Discover the value in initial risk modeling and governance planning
  • Tailor your approach to address the maturity of your AI models and use cases, from generative AI for business tasks to homegrown LLMs
  • Assess advanced techniques like differential privacy, adversarial training, and operational monitoring

Booz Allen stands ready to help you confidently navigate AI security challenges, respond quickly to the latest threats, and harness the operational and mission advantages of powerful AI systems while mitigating risk. Read Securing AI today.

Meet the Authors

  • Justin Neroda is a senior vice president in Booz Allen’s AI business, leading the firm’s work with national security clients.
  • Matt Keating leads Booz Allen’s Secure AI practice, a component of the firm’s AI business focused on adversarial AI and AI security solutions.
  • Dr. Andre Nguyen, Ph.D., is an adversarial machine learning expert within Booz Allen’s Secure AI practice, leading advanced research on threats and vulnerability within enterprise AI systems.
  • Shafi Rubbani is a Booz Allen researcher and scientist with expertise in deep fake detection and hardening systems against data noise, model poisoning, and other attack vectors.  

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