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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. What operational and technical best practices can I integrate into how my organization builds generative AI LLM applications to manage risk and increase confidence in generative AI applications using LLMs?

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5 Reasons Why NIS2 Directive Preparation Should Start Now, Part Two: Implementation Takes Time

Ivanti

So, in this post, I’ll walk you through how to resolve your weakest security issues before the NIS2 Directive deadline hits by addressing these three key areas: Inform management about your cybersecurity gaps Correctly implementing new organisation and technical security measures Find time to train all of your employees 1.

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

AWS Machine Learning - AI

This streamlined approach simplifies the GDPR right to be forgotten compliance for generative AI applications. Audit tracking To support GDPR compliance efforts, organizations should consider implementing an audit control framework to record right to be forgotten requests. However, this is beyond the scope of this post.

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Technology Trends for 2024

O'Reilly Media - Ideas

That may or may not be advisable for career development, but it’s a reality that businesses built on training and learning have to acknowledge. 1 That makes sense, given the more technical nature of our audience. Finally, compliance is down 27%. That’s more than offset by the substantial increase of interest in governance.

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Data Integrity: Types, Threats, and Countermeasures

Altexsoft

Data systematizes daily processes and governs them by enabling data-driven decisions for businesses and organizations. It governs the correctness and rationality of information by providing four integration requirements. Inadequate technical processes. Backup and recovery. Logical integrity. Start with employees.

Data 59
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A digital edge for financial services: Navigating cybersecurity in the era of the Digital Operational Resilience Act (DORA)

Capgemini

With cyber threats looming large, DORA aims to strengthen operational resilience in the financial sector, requiring a fundamental shift in cybersecurity governance. In addition, proactive threat mitigation, robust risk management frameworks, and diligent third-party risk management are essential to DORA compliance. at the forefront.