Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo Security Operations Centers (SOCs) are evolving faster than ever. As cybersecurity threats grow more sophisticated and digital infrastructure expands across cloud, hybrid, and on-prem environments, legacy SOC tools like SOAR are falling behind. Static dashboards, siloed point solutions, and human-dependent processes simply can’t keep up.

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.

In 2026, API security trends reveal a humbling reality. 99% of organizations have experienced at least one API security incident in the past year, with API-related breaches accounting for over 90% of all web-based attacks. Unlike yesterday’s perimeter-based threats, today’s API security challenges are fundamentally different. For every human identity, there exists ~ 82 machine identities, with >40% of those holding privilege/sensitive access within organisations.

SIEM is a streamlined tool used by managed service providers (MSPs) to monitor activity across their clients’ systems in real time. The tool brings security data into one place. This makes it easier to spot suspicious activity early and respond quickly if something goes wrong. SIEM provides MSPs with a single, clear view of their environment to improve day-to-day monitoring. It also takes less time to investigate security incidents.

Nowadays, businesses of all sizes rely on MSPs and IT service providers for key functions such as cybersecurity, cloud management, and digital transformation, because it is often more cost-effective and efficient than handling these tasks in-house. However, that places enormous pressure on those providers because they are expected to solve a wide range of problems around the clock.

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.

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.