Post by Mandiant (part of Google Cloud)

AI unlocks unprecedented innovation, but it also creates a complex new attack surface. To provide security teams and architects with a technical approach to securing AI systems, we’ve synthesized findings from our recent Mandiant AI Red Team engagements into a practical roadmap. Our latest whitepaper, Secure development of generative AI applications: A proactive approach, moves past the theory to provide specific guidance on hardening AI systems. Inside the report, we break down how to: • Map the AI Attack Surface: Identify and mitigate vulnerabilities specific to LLMs, including prompt injection, data poisoning, and insecure output handling. • Apply Multi-Layer Controls: Implement a defense-in-depth strategy across the model, application, and infrastructure layers. • Incorporate Red Team Findings: Use observations from real-world Mandiant AI Red Team assessments to inform your threat modeling and security architecture. 📖 Equip your team to harness the power of AI, securely. Read the full whitepaper here: https://bit.ly/492ndLa