LLMs and security: Protect your web-based AI applications

As organizations implement large language models (LLMs), security often takes a backseat to speed-to-market. This white paper examines security considerations for web-based LLMs, combining traditional vulnerabilities with AI-specific risks.

Key vulnerabilities include:

• Prompt injection attacks manipulating LLMs to reveal sensitive info
• Excessive agency issues with unintended API access
• The probabilistic nature complicating security testing

While traditional security practices are relevant, professionals must evolve methodologies to include probabilistic testing against threats like prompt injection.

Read this white paper to assess and protect your web-based LLMs.

Vendor:: Google Cloud
Posted:: Mar 21, 2025
Published:: Mar 21, 2025
Format:: PDF
Type:: White Paper

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