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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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Cybersecurity Snapshot: 6 Best Practices for Implementing AI Securely and Ethically

Tenable

Like many organizations, yours is likely using AI – or at least thinking about deploying it soon. But how can you ensure you use it securely, responsibly, ethically and in compliance with regulations? Check out best practices, guidelines and tips in this special edition of the Tenable Cybersecurity Snapshot! and the U.S. –

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MWC 2024 Replay: Huawei unlocks resilient, ‘non-stop’ banking with four-pronged solutions strategy

CIO

Speaking at Mobile World Congress 2024 in Barcelona, Jason Cao, Huawei’s CEO of Digital Finance BU, acknowledged that digital financial services are “booming” and that the rise of open architecture as well as emerging technologies like generative AI will have an impact on key fields in the industry such as financial engagement and credit loans.

Banking 147
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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?

Trends 115
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John Snow Labs’ Large Language Models and AWS Marketplace

John Snow Labs

The models operate behind the organization’s firewall and under their security controls, ensuring that no text is ever transmitted to third-party or cloud services. It incorporates a suite of security and privacy controls, including role-based access, AD/LDAP integration, audit trails, and LLM safety checks.