Remediation coordination often fails because security teams are dealing with unowned assets and resources. In this hands-on demo, Seemplicity Exposure Management Strategist Rob Babb shows how ownership gaps create blind spots, stall remediation, and slow exposure reduction across teams. The walkthrough highlights how remediation orchestration establishes accountability, improves visibility, and enables automation for exposure remediation across cloud, application, and infrastructure environments.

APIs sit at the center of modern applications. They move data between systems, power mobile apps, and enable integrations at scale. Naturally, they are also a focal point for regulators, auditors, and attackers. Most organizations today do test their APIs. Yet many still struggle during audits. Not because testing didn’t happen, but because it wasn’t consistent, governed, or provable. Compliance frameworks don’t ask whether you ran an API scan.

As federal agencies face increasingly sophisticated cyber threats, securing high-impact systems and sensitive unclassified data has become a top priority. To support this need, Keeper Security has achieved FedRAMP Authorization at the High Impact Level for its Keeper Security Government Cloud (KSGC) platform, expanding its ability to protect the U.S. federal government’s most sensitive unclassified workloads.

Modern networks change constantly as teams modify interfaces, adjust routing, enable features, or deploy security controls. Over time, these individual updates create a complex configuration history that is rarely documented comprehensively. Without access to historical configuration data, engineers face significant challenges determining when changes occurred, whether they align with approved change windows, or how they influenced network behavior.

Remember when open meant visible? When a bug in open-source code left breadcrumbs you could audit? When you could trace commits, contributors, timestamps, even heated 2:13 a.m. debates on tabs versus spaces? That kind of openness created confidence in the code and made it possible to hold contributors accountable when issues arose. Today, as AI changes how code is created and shared, those familiar markers of trust and transparency are becoming harder to find.