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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.

Software 145
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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? During this process, you need to analyze your data assets, categorize and prioritize them, conduct a risk assessment, and establish appropriate monitoring and response techniques.

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10 projects top of mind for IT leaders today

CIO Business Intelligence

Krishna Prasad, chief strategy officer and CIO at UST, a digital transformation solutions company, says that cybersecurity not only remains top of mind but an area of significant work for IT as it’s tasked with executing much of the risk-mitigation efforts. Risk management came in at No. Foundry / CIO.com 3. For Rev.io

IT 142
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Why You Need to Get on the Zero Trust Network Access Express Lane

CIO Business Intelligence

The biggest risk with VPNs is that malware can get into a user’s system, effortlessly ride the VPN and potentially infect the entire enterprise. Behavioral analytics and least-privilege access. Like continuous authentication, ZTNA uses behavioral analytics. VPNs typically don’t scan for viruses or other malware.

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The changing face of cybersecurity threats in 2023

CIO Business Intelligence

SMBs and startups are equally at risk. With the increasing availability of sophisticated technological and social engineering tools, attackers have a higher chance of succeeding – and gaining big – with little risk,” Mazin warns. It’s a common misconception that only enterprise domains are spoofed.

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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

They can use AI and data-driven cybersecurity technology to address these risks. Data security risks are abundant, and they are very unlikely to be reduced to irrelevance, let alone become fully extinguished. How can they make sure that they do not suffer serious setbacks from data theft and other similar cyber attacks? In summary.

Testing 130
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How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?

Smart Data Collective

As a result, instead of an overbearing number of unimportant and irrelevant alerts, teams receive relevant data — the kind that provides more information about the high-risk issues in the company. That is, this solution is learning about new attacks and the company to detect anomalies at all times.