November 2025
Intermediate to advanced
480 pages
13h 28m
English
Content preview from Using Amazon Bedrock
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CHAPTER 8Security and Privacy for Deploying Generative AI Architectures on AWS
Working with generative AI offers unprecedented capabilities, but, as Uncle Ben told Peter Parker in Spider-Man, with great power comes great responsibility. Deploying these advanced architectures on cloud platforms like AWS demands a vigilant focus on security, privacy, and ethical standards. As these technologies become integral to high-stakes sectors like healthcare and finance, the potential consequences of misuse escalate dramatically. In this chapter, we'll delve into how to embed robust security frameworks and privacy measures within generative AI solutions, ensuring they serve the greater good while mitigating potential risks.
We'll explore a range of security measures applicable to generative AI solutions—from access control management to the implementation of guardrails—to establish various levels of control. Additionally, we'll examine how to create adaptable systems capable of responding appropriately to threats across different scenarios. To illustrate these concepts, we'll look at real-world applications from the financial services industry, such as the security provisioning strategies employed by trading companies. Prepare yourself for an in-depth journey into building secure and responsible generative AI!
The code for the chapter can be found in this GitHub repository: https://github.com/renaldig/Using-Amazon-Bedrock/tree/master/Chapter8.
Security and Privacy for Generative AI ...
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