Protect your AI model and sensitive data
The current AI landscape introduces new vulnerabilities and risks associated with data leakage. AI Security Posture Management (AI-SPM) enables organizations to secure their data and AI models across the AI lifecycle.
From protecting sensitive information during model training to addressing risks in fine-tuning large language models (LLMs) and retrieval-augmented generation (RAG), this step-by-step guide equips organizations on how to strengthen their AI infrastructure and mitigate emerging threats.
Key learnings include:
- Eliminate "Shadow AI": Gain a complete inventory of all AI applications in use and enforce consistent governance policies across your environment.
- Secure the AI Data: Prevent sensitive data (PII, IP, PHI) from being exposed.
- Mitigate AI-Specific Threats: Understand and defend against emerging risks like data poisoning, and exposure in inference workloads.
- Implement a 4-Step Framework for Responsible AI: Follow a clear process for AI inventory management, least-privilege access, continuous monitoring, and compliance auditing.
Download the guide today and strengthen your AI security posture!