Findings show 39 percent of organizations are reliant on automation, 34 percent are reliant on machine learning, 32 percent are highly reliant on AI
SAN JOSE, Calif., Feb 22 (Bernama-GLOBE NEWSWIRE) -- Malware sophistication is increasing as adversaries begin to weaponize cloud services and evade detection through encryption, used as a tool to conceal command-and-control activity. To reduce adversaries' time to operate, security professionals said they will increasingly leverage and spend more on tools that use AI and machine learning, reported in the 11th Cisco® 2018 Annual Cybersecurity Report (ACR).
While encryption is meant to enhance security, the expanded volume of encrypted web traffic (50 percent as of October 2017) - both legitimate and malicious - has created more challenges for defenders trying to identify and monitor potential threats. Cisco threat researchers observed more than a threefold increase in encrypted network communication used by inspected malware samples over a 12-month period.
SAN JOSE, Calif., Feb 22 (Bernama-GLOBE NEWSWIRE) -- Malware sophistication is increasing as adversaries begin to weaponize cloud services and evade detection through encryption, used as a tool to conceal command-and-control activity. To reduce adversaries' time to operate, security professionals said they will increasingly leverage and spend more on tools that use AI and machine learning, reported in the 11th Cisco® 2018 Annual Cybersecurity Report (ACR).
While encryption is meant to enhance security, the expanded volume of encrypted web traffic (50 percent as of October 2017) - both legitimate and malicious - has created more challenges for defenders trying to identify and monitor potential threats. Cisco threat researchers observed more than a threefold increase in encrypted network communication used by inspected malware samples over a 12-month period.
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