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Did The Dog Bark In the Night?
What we still don't know, despite the data
Trickle-Down Threat Intelligence
Tiers are not enough when intel is at stake
Machine Learning Susses Out Social-Network Fraud
Machine-learning techniques can be used to detect fraud and spies on social networks based on certain features, such as the number of followers and devices used to access the network
A NAC Is a NAC, Alack Alack
Mobile's inevitable return to the network flock
Google Uses Reputation To Detect Malicious Downloads
Researchers use data about websites, IP addresses, and domains to detect 99 percent of malicious executables downloaded by users -- outperforming antivirus and URL-reputation services
Is There Any Real Measurement In Monitoring?
Show me metrics that aren't marketing
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The 10 Most Impactful Types of Vulnerabilities for Enterprises TodayManaging system vulnerabilities is one of the old est - and most frustrating - security challenges that enterprise defenders face. Every software application and hardware device ships with intrinsic flaws - flaws that, if critical enough, attackers can exploit from anywhere in the world. It's crucial that defenders take stock of what areas of the tech stack have the most emerging, and critical, vulnerabilities they must manage. It's not just zero day vulnerabilities. Consider that CISA's Known Exploited Vulnerabilities (KEV) catalog lists vulnerabilitlies in widely used applications that are "actively exploited," and most of them are flaws that were discovered several years ago and have been fixed. There are also emerging vulnerabilities in 5G networks, cloud infrastructure, Edge applications, and firmwares to consider.
Incident Readiness and Building Response Playbook
In this special report, learn the Xs and Os of any good security incident readiness and response playbook.
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