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Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

AWS Machine Learning - AI

Many organizations are building generative AI applications and powering them with RAG-based architectures to help avoid hallucinations and respond to the requests based on their company-owned proprietary data, including personally identifiable information (PII) data.

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Cybersecurity Snapshot: New Guide Details How To Use AI Securely, as CERT Honcho Tells CISOs To Sharpen AI Security Skills Pronto

Tenable

Created by the Australian Cyber Security Centre (ACSC) in collaboration with cyber agencies from 10 other countries, the “ Engaging with Artificial Intelligence ” guide highlights AI system threats, offers real-world examples and explains ways to mitigate these risks.

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From Hype to Hope: Key Lessons on AI in Security, Innersource, and the Evolving Threat Landscape

Coveros

However, social engineering is a common tactic, so it is advisable to continuously improve security awareness and education in an effort to decrease the effectiveness of social engineering attacks. However, a thoroughly tested and well-practiced backup and recovery plan can significantly reduce the impact of a ransomware attack.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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Technology Trends for 2024

O'Reilly Media - Ideas

Generative AI is the wild card: Will it help developers to manage complexity? It’s tempting to look at AI as a quick fix. Whether it will be able to do high-level design is an open question—but as always, that question has two sides: “Will AI do our design work?” Did generative AI play a role?

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