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Threat intelligence on its own is only data. Its value depends on how effectively SOC teams can turn it into action. Simply put, this was the premise of our recent webinar. The SOC and business impact of threat intelligence depends largely on how quickly analysts can use it to validate threats, make confident decisions, and […]
The post Making Threat Intelligence Work for SOC Teams: ANY.RUN & Elastic Webinar Insights appeared first on ANY.RUN's Cybersecurity Blog.
Ivan Milenkovic, VP Risk Technology EMEA at Qualys, explains how security leaders can build an economic model that puts money behind their decisions. He suggests starting with a few loss scenarios, then working down to the assets that drive them. He covers how to rank fixes by value at risk, what CFOs expect to see, and how to show the worth of incidents that never happened. He also looks at how one model can serve … More →
The post Pricing your bad days and how to build an economic model for security decisions appeared first on Help Net Security.
Yusaku Fujii, a professor at Gunma University in Japan, has designed audits and penalties to stop operators from misusing AI that analyzes street camera footage. His system adds an independent record-keeper and unannounced spot checks to the AI’s outputs. Fujii’s test setting is what he calls a Fully Monitored Public Space (FMPS): streets where cameras are dense enough to follow people and vehicles continuously. It can be built with existing network cameras and encrypted storage. … More →
The post Who watches the AI watching your street? appeared first on Help Net Security.
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