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AI and cybersecurity: A double-edged sword

CIO Business Intelligence

Perhaps one of the most anticipated applications of AI in cybersecurity is in the realm of behavioral analytics and predictive analysis. By leveraging machine learning algorithms, AI can analyze user behavior and network traffic patterns, identifying anomalies that might indicate insider threats or other malicious activities.

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Your Modern Business Guide To Data Analysis Methods And Techniques

datapine

Good data analytics techniques result in enhanced business intelligence (BI). To help you understand this notion in more detail, read our exploration on business intelligence reporting. a web application or CMS) and instead of looking at everything as one wider unit, each element is broken down into related groups.

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10 projects top of mind for IT leaders today

CIO Business Intelligence

Those projects include implementing cloud-based security, anti-ransomware, and user behavior analytics tools, as well as various authentication technologies. Research from PwC had similar findings, with 47% of CIOs saying they’re “prioritizing the transformation of their data platforms to drive business growth.”

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Database Activity Monitoring – A Security Investment That Pays Off

Smart Data Collective

Does DAM need a user behavior analytics (UBA) module? Do database activity monitoring systems need user behavior analytics features? Since databases store companies’ valuable digital assets and corporate secrets, they are on the receiving end of quite a few cyber-attack vectors these days. How do DAM solutions work?

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Why You Need to Get on the Zero Trust Network Access Express Lane

CIO Business Intelligence

Behavioral analytics and least-privilege access. Like continuous authentication, ZTNA uses behavioral analytics. ZTNA is the network implementation of zero trust, which uses multiple techniques to deliver far better security as well as ease-of-use and ROI.

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2 Innovations That Can Tip the Balance in Cybersecurity

CIO Business Intelligence

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. But improved use of automation — combined with software-based advanced analytics — can help level the playing field. They are: Innovations in automation.

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The changing face of cybersecurity threats in 2023

CIO Business Intelligence

A proactive threat detection and response program with user behavior analytics (UBA), regular threat hunting and penetration testing, and pre-emptive honeypot traps will soon be generic components of a typical security strategy, if not the norm.