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The Future of Machine Learning in Cybersecurity

CIO

And while ML has frequently been used to make sense of big data—to improve business performance and processes and help make predictions—it has also proven priceless in other applications, including cybersecurity. Why Machine Learning Has Become Vital for Cybersecurity. ML turns out to be the best solution to combat it.

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A Decade of Trust — Meeting the Needs of the DoD

Palo Alto Networks

The Department of Defense (DoD) is on a relentless mission to fortify its networks with a comprehensive, no-fail Zero Trust architecture. At Palo Alto Networks, we understand the unique challenges faced by the DoD. At Palo Alto Networks, we understand the unique challenges faced by the DoD. Want a recent example? No problem.

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The 10 most in-demand tech jobs for 2023 — and how to hire for them

CIO

For some that means getting a head start in filling this year’s most in-demand roles, which range from data-focused to security-related positions, according to Robert Half Technology’s 2023 IT salary report. These candidates should have experience debugging cloud stacks, securing apps in the cloud, and creating cloud-based solutions.

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Cybersecurity Is a Top Priority – What to Do About It?

Kaseya

Cybersecurity affects the everyday lives of most IT practitioners and IT leaders worldwide, with more than 50 percent of them citing “Improving IT Security” as a top priority in 2021 as per our 2020 IT Operations Survey Results Report. Here are a few steps your organization should take to improve its cybersecurity posture.

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How Big Data is Helping Improve Security

CTOvision

The security landscape is one fraught with danger right now. Data breaches are happening with alarming regularity as organizations of all types struggle to manage the ever evolving threats that are out there. The answer to all these ongoing security problems may be found in big data analytics. Rick Delgado.

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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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TripleBlind secures $24M for a new approach to enterprise-level, privacy-preserving data sharing

TechCrunch

Organizations that have made the leap into using big data to drive their business are increasingly looking for better, more efficient ways to share data with others without compromising privacy and data protection laws, and that is ushering in a rush of technologists building a number of new approaches to fill that need.