Splunk Asset and Risk Intelligence (Splunk ARI) discovers and reports on risks affecting assets and identities. This risk discovery is performed in real-time, ensuring that risks can be quickly addressed, helping to limit exposure and increase overall security posture. In this post, we highlight three use cases related to asset risk using Splunk ARI.
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Splunk Asset and Risk Intelligence (Splunk ARI) keeps track asset and identity discovery activity over time. This activity supports investigations into who had what asset and when, in addition to providing insights about asset changes over time and when they were first or last discovered. In this post, we highlight three use cases related to asset activity using Splunk ARI.
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Splunk Asset and Risk Intelligence (Splunk ARI) has powerful asset and identity investigative capabilities. Investigations help to reveal the full asset record, cybersecurity control gaps and any associated activity. In this post, we highlight three use cases related to asset investigations using Splunk ARI.
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Splunk Asset and Risk Intelligence (Splunk ARI) continually discovers assets and identities. It does this using a patented approach that correlates data across mulitple sources in real-time. In this post, we highlight three use cases related to asset discovery using Splunk ARI.
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Data protection is a critical priority for any organization, especially when dealing with sensitive information like personal identifiable information (PII) and protected health information (PHI) data. Implementing robust protection mechanisms not only ensures compliance with regulations like the General Data Protection Regulation (GDPR) but also mitigates the risk of data breaches.
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One recurring challenge in managing cloud environments is the tendency for lab and development instances to remain active long after they’re needed. While it might seem like a small oversight, the impact can be significant. These idle instances rack up unnecessary costs, drain valuable resources, and open the door to security vulnerabilities. Configuring effective monitoring to notify about the running instances is a good way to address this problem.
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