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

Tenable

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! How can the security team contribute to these efforts? We look at best practices for secure use of AI.

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Creating a Security Program with Less Complexity and More Visibility

Palo Alto Networks

Developing a strong security program is like tending a garden. Meanwhile, the same old problems hold defenders back – alert fatigue, improper permissions and inadequate authentication, among others. The greatest misconception about cybersecurity is that programs can catch up overnight with silver-bullet solutions.

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Prioritizing AI? Don’t shortchange IT fundamentals

CIO

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Data due diligence Generative AI especially has particular implications for data security, Mann says.

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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. We first delve into the vulnerabilities, threats, and risks that arise from the implementation, deployment, and use of LLM solutions, and provide guidance on how to start innovating with security in mind.

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Machine Learning at scale: first impressions of Kubeflow

OpenCredo

Machine learning has great potential for many businesses, but the path from a Data Scientist creating an amazing algorithm on their laptop, to that code running and adding value in production, can be arduous. Here are two typical machine learning workflows. Monitoring. Does it only do so at weekends, or near Christmas?

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Top 10 Cybersecurity Threats in 2021 and How to Protect Your Business

Kaseya

According to a report by Cybersecurity Ventures , global cybercrime costs are expected to grow by 15 percent per year over the next five years, reaching $10.5 That’s why IT security continues to be the No. Cybersecurity Threats to Be Aware of in 2021. Remote Worker Endpoint Security. Cloud-Based Threats.

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A Comprehensive Guide: What are the most popular Machine Learning Tools in 2023?

Openxcell

Machine Learning has noticed rapid growth—resulting in the creation of numerous tools and platforms for creating, evaluating, and deploying Machine Learning Models. The most popular Machine Learning tools have earned wide adoption in different industry settings and have active user and contributor groups.