Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

At.conf25, we announced how Splunk Enterprise Security (ES) has transformed to today’s AI-powered SecOps platform—unifying industry-leading technologies across SIEM, SOAR, User and Entity Behavior Analytics (UEBA), threat intelligence, and detection engineering with purpose-built AI across the entire Threat Detection, Investigation, and Response (TDIR) workflow—empowering Security Operations Centers (SOCs) to end analyst fatigue, deliver faster security outcomes, reduce risk, and build r

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Attackers stole OAuth tokens tied to the Salesloft Drift integration, then used those valid tokens to call Salesforce APIs and export data. This is token abuse via a third-party Connected App, not a core Salesforce bug. Focus your response on governance and validation: revoke and rotate, re-enable with least privilege, and use Salesforce Event Monitoring to verify detections. What happened.

In today’s data-driven world, CISOs and senior leadership need to prove that their security programs mitigate risk. Just like grades theoretically quantify how well students understand material their teachers present, cybersecurity metrics quantify your security controls’ effectiveness. As the threat landscape becomes more complex, security teams struggle to identify the metrics that best showcase their value.

A single cyberattack or system outage can threaten not just one financial institution, but the stability of a vast portion of the entire financial sector. For today’s financial enterprises, securing dynamic infrastructure like Kubernetes is a core operational and regulatory challenge. The solution lies in achieving DORA compliance for Kubernetes, which transforms your cloud-native infrastructure into a resilient, compliant, and secure backbone for critical financial services.

Most insider threats do not start with intent; they start with exceptions, such as: These are not always acts of malice, but they create cracks that attackers can exploit. Because they look like “normal” activity on laptops and workstations, IT often does not see them coming. In simple terms, an insider threat is any risk that comes from people inside your organization, be they employees, contractors, or partners, with legitimate access to systems and data.

If you think AI-generated code is saving time and boosting productivity, you’re right. But here’s the problem: it’s also introducing security vulnerabilities at an alarming rate. Our latest research reveals that 45% of AI-generated code contains security flaws, turning what should be a productivity breakthrough into a potential security nightmare.