AI is changing the pace of security. AI-assisted threats can move faster and vary their behavior, while security teams work through enormous amounts of activity across the applications and systems that run your business. Relevant events may be separated by time and recorded in different places, so one alert may not explain what is happening. Connecting those events matters because they concern access to business information and the processes your teams depend on.
At Oracle, we are applying AI to help security teams connect related behavior and move investigations forward with fewer manual steps. Layered controls, monitoring and existing automation remain the foundation. AI-assisted workflows help gather evidence and assess what a finding may represent, with people involved where judgment, oversight or approval is needed. The aim is to help teams respond to concerns affecting your applications and data with better context and less delay. Two sessions at Oracle AI World explore how this work changes security operations and threat hunting.
Connecting activity into an investigation with AI
For a security operations center (SOC), recognizing unusual activity is the start of an investigation. Understanding what it means for the application and its users takes more context. Automated Security Operations in Action: Scaling the AI-Powered SOC explores how AI supports that broader workflow, from detecting a concern through investigation and response.
Consider a user who signs in to a cloud application with a valid session. The requests are permitted by existing controls. Over time, the user visits more parts of the application, accesses more information and repeats certain actions. Together, the timing and scope of that activity raise a question: does it fit an expected business need?
AI-based behavioral analysis helps connect those actions and identify where the behavior changes. Defined investigation workflows gather supporting evidence and help assess the finding without requiring an analyst to perform every lookup. People remain involved where business context, judgment or approval is required.
For customers, the value is a better-informed response to activity involving their data. The investigation helps establish whether the activity has a legitimate business explanation or requires further action, while reducing repeated searches and handoffs. At AI World, we will follow that progression from routine-looking requests to evidence and next steps.
Following the clues through AI-assisted threat hunting Continue the conversation at Oracle AI World
Not every investigation begins with a clear alert. AI-Assisted Threat Hunting: Surfacing Suspicious Activity Across SaaS Environments explores how teams follow early clues when the available evidence does not yet explain what is happening.
A hunt may begin with an unusual sign-in, then look back through previous alerts and related application, device or network activity. Bringing that evidence together helps establish whether a concern is isolated or whether other accounts or business information need attention.
AI-assisted workflows help perform repeatable searches, connect the evidence and identify leads for follow-up. Analysts test possible explanations and address uncertainty as the investigation develops. That combination supports a broader investigation without making every step depend on a manual search.
A validated investigation also raises a practical question: what would help us recognize similar behavior sooner? Findings can inform new detections and protection recommendations, with changes subject to the appropriate testing and approval processes. What the team learns from one case can help strengthen future protection for customer applications and data.
Continue the conversation at Oracle AI World
Two sessions. One bigger story. Security operations and threat hunting address different parts of the same challenge. One connects signals to the broader process of investigation and response. The other follows leads when the available evidence does not yet explain what is happening.
- Automated Security Operations in Action explores how scattered activity can become an investigation an analyst can understand and act on.
- AI-Assisted Threat Hunting goes deeper into the search itself, especially when the first clue is weak and the useful evidence is buried across a much larger body of security data.
Together, these sessions explore how AI can help security teams spend less time finding and assembling evidence and more time understanding what happened, determining what matters, and considering the appropriate next steps.
Join us at Oracle AI World to see how this works in practice.