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AI and Cyber Security: Innovations & Challenges

eSecurity Planet

Table of Contents Toggle What is AI in Cyber Security & How Does It Work? Artificial intelligence in cybersecurity refers to applying AI technologies such as machine learning, deep learning, and data analytics to protect digital systems and networks from cyber threats. However, the integration of AI also presents challenges.

Security 135
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FIRESIDE CHAT: Anchoring security on granular visibility, proactive management of all endpoints

The Last Watchdog

And securing endpoints has once more become mission critical. This was the focal point of presentations at Tanium’s Converge 2022 conference which I had the privilege to attend last week at the Fairmont Austin in the Texas capital. Endpoints are where all are the connectivity action is. Related: Ransomware bombardments.

Security 203
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Equipping threat hunters: Advanced analytics and AI part 1

OpenText Information Management

Relevance: Statistical anomalies may not always be significant from a security perspective. LLMs offer significant potential in cybersecurity, particularly as natural language interfaces between threat hunters and analytics systems. These summaries help security teams quickly understand critical issues, enhancing efficiency and focus.

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Security in Milliseconds: Visa Invests in Payment Security as E-Commerce Surges

eSecurity Planet

But that spending surge has brought with it a corresponding rise in payment security challenges. White said Visa has invested $9 billion over the past five years on fraud prevention, with half a billion of that focused on AI and data infrastructure to secure the petabytes of data Visa handles, an investment that turned out to be well timed.

Security 117
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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.

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Collibra Usage Analytics: Driving product adoption with pragmatic product management

Collibra

Collibra Usage Analytics is an excellent example of a product that was initiated by customer feedback and developed in partnership with users. Building Usage Analytics pushed us to think about data in new ways, and it required an evolution in our infrastructure and testing process. But this milestone didn’t come without challenges.

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RSAC insights: How ‘TPRM’ can help shrink security skills gap — while protecting supply chains

The Last Watchdog

More so than ever, enterprises need to move beyond check-the-box risk assessments; there’s a clear and present need to proactively mitigate third-party risks. I had the chance to sit down with their CISO, Dave Stapleton, to learn more about the latest advancements in TPRM security solutions. One leading provider is Denver, Colo.-based

Security 266
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The Essential Guide to Building Analytic Applications

Embedding analytics in software presents some unique opportunities—and poses unique challenges—to software teams. What are best practices when designing the UI and UX of embedded dashboards, reports, and analytics? What should software teams know about implementing security that works with the rest of their products?

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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.