indicators attack

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By: Trend Micro     Published Date: Aug 07, 2019
As the threat landscape evolves, organizations have accepted the fact that they have to take a more proactive detection approach to advanced threats rather than relying on traditional defenses. As a result, customers have turned to detection and response tools that allow for proactive “hunting” for Indicators of Attack (IoA) and reactive “sweeping” for indicators of compromise (IoCs). Once found, those tools are required to automatically respond to attacks or to at least provide for an action from the Incident Response (IR) staff. Unfortunately, due to the number and complexity of both these attacks and the detection/response tools, organizations struggle to hire enough qualified staff and stay on top of the discovered threats. This is compounded by a worldwide cybersecurity skills shortage. Managed detection and response (XDR) provides advanced threat hunting, detection, and response as a service to organizations that seek assistance for their own IR staff, or for those who wish to o
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     Trend Micro
By: McAfee     Published Date: Nov 20, 2014
A survey commissioned by Intel Security and conducted by Evalueserve, in conjunction with the report, suggests that a majority of companies lack confidence in their ability to detect targeted attacks in a timely manner. Even companies best prepared to handle targeted attacks are taking the time to investigate high volumes of events. Key findings include 78% of those able to detect attacks in minutes had a proactive, real-time SIEM solution.
Tags : siem, incident response, ir capabilities, threat intelligence, indicators of attack, indicators of compromise, foundstone, ioas
     McAfee
By: Darktrace     Published Date: Apr 02, 2019
This report details seven case studies of attacks that were intercepted and neutralized by cyber defense AI, including insider threat, ransomware, and IoT attacks. While all threat scenarios were distinct, some fast-moving and others slow and stealthy, in all cases the subtle indicators of suspicious activity were only detectable using Darktrace AI, which learns what is normal for the business environment and autonomously responds to attacks – before damage is done.
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     Darktrace
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