CIO
JANUARY 22, 2024
Organizations have shifted to remote desktop work environments at an increasing speed since then – simultaneously expanding their attack surface and exposing themselves to greater cybersecurity threats. Given that threat actors exploit critical vulnerabilities within mere hours of publication, this poses a serious security risk for companies.
CIO
NOVEMBER 7, 2023
As the end of 2023 approaches, it becomes imperative to assess the current landscape of cybersecurity threats, explore potential strategies to combat them, and explore the new practice measures that can be taken. As technology advances, so too does the sophistication of threats to these essential systems.
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Tenable
MAY 31, 2024
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.
Palo Alto Networks
MARCH 12, 2024
Applied AI in cybersecurity has many unique challenges, and we will take a look into a few of them that we are considering the most important. One — Lack of Labeled Data Unlike many other fields, data and labels are scarce in the cybersecurity space and usually require highly skilled labor to generate. This is unique to cybersecurity.
CIO
APRIL 25, 2024
CIOs rank AI as a top priority alongside cybersecurity for IT departments. However, barriers such as adoption speed and security concerns hinder rapid AI integration, according to a new survey. There is a sense of urgency to leverage AI effectively, but adoption speed and security challenges are hindering efforts.
Openxcell
MARCH 23, 2023
But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.
Tenable
FEBRUARY 8, 2021
Faced with an expanding attack surface and limited resources, security teams can apply machine learning to prioritize business risks and help predict what attackers will do next. In today’s cybersecurity landscape, gaps in your visibility are inevitable. Machine learning helps security teams work smarter.
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