The Booz Allen whitepaper Securing AI outlines the rising threats, risks, and countermeasures essential for protecting AI systems in enterprise environments. It highlights the unique vulnerabilities of AI—including black-box opacity, stochastic behavior, and model misuse—and introduces five key threat types: data poisoning, malware, model evasion, model misuse (e.g., jailbreaking), and data leakage. The paper emphasizes a lifecycle-based security framework with tactics like red teaming, dependency scanning, and prompt injection defense. It calls for cross-functional governance, AI security engineering, and continuous monitoring to safeguard enterprise AI at scale.

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