{"id":75817,"date":"2023-08-14T12:24:10","date_gmt":"2023-08-14T09:24:10","guid":{"rendered":"https:\/\/indexeconomic.com\/?p=75817"},"modified":"2023-08-14T12:24:11","modified_gmt":"2023-08-14T09:24:11","slug":"dynatrace-unveils-security-analytics-providing-actionable-insights-for-proactive-defense-against-threats-to-cloud-applications","status":"publish","type":"post","link":"https:\/\/indexeconomic.com\/?p=75817","title":{"rendered":"Dynatrace Unveils Security Analytics, Providing Actionable Insights for Proactive Defense Against Threats to Cloud Applications"},"content":{"rendered":"\n

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Dynatrace<\/a> (NYSE: DT), the leader in unified observability and security, announced the introduction of Security Analytics, a new Dynatrace\u00ae platform<\/a> solution designed to help organizations better defend against threats to their hybrid and multicloud environments. Dynatrace\u00ae Security Analytics leverages Davis\u00ae AI<\/a>, which combines predictive and causal AI techniques to provide security analysts with the precise answers and data context they need to prioritize and investigate threats and vulnerabilities. Later this year, Security Analytics will also include generative AI capabilities as part of Dynatrace’s planned expansion to provide a hypermodal AI<\/a> offering through Davis. In addition, Security Analytics now leverages Dynatrace\u00ae AutomationEngine<\/a> to create automations and workflows that analysts can use to assess the impact of an attack, find the indicators of compromise (IOCs), or automatically trigger a response. Combining Davis hypermodal AI, precise answers with context, and intelligent automation empowers security analysts to defend against emerging cyber threats proactively. It also bolsters their organization\u2019s cybersecurity defense and overall security posture.<\/p>\n\n\n\n

Security analysts often lose productivity due to disjointed tools and processes that require considerable human intervention. This approach can result in alerts going uninvestigated for months or years, posing significant risks to their organizations. Many teams rely on traditional Security Information and Event Management, or SIEM solutions, that monitor log data to find IOCs. This data lacks crucial context, such as the underlying cloud infrastructure and application topology, which can help narrow the scope of an investigation. Missing this context makes it difficult to use SIEM solutions to accelerate an investigation or identify and defend against cyber threats.<\/p>\n\n\n\n

Allie Mellen, Senior Analyst at Forrester Research, wrote, \u201cSecurity information and event management (SIEM) capabilities alone are no longer sufficient for security operations teams. Today\u2019s security analytics platforms combine features to enable analytics, investigation, automation, threat hunting, dashboards, and reporting to help security analysts be more effective.\u201d[i]<\/a><\/p>\n\n\n\n

Dynatrace Security Analytics addresses these needs by fueling the answers and automation it delivers with logs, metrics, traces, and topology while keeping data context intact. This enables teams to identify and investigate threats that may be impossible to pinpoint from logs alone. Furthermore, Security Analytics adds to other Dynatrace application security capabilities<\/a>. These include:<\/p>\n\n\n\n