Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The saying that change is inevitable most certainly applies to the evolution of technology. Cloud computing upended what had previously been the traditional constraints on business operations, allowing for agility and scalability that was not possible previously. With this new flexibility organizations were able to deploy applications, services, and infrastructure more quickly than ever before.

In today’s security landscape, visibility and real-time insights into your organization’s data are critical for effective threat hunting and incident management. To meet these needs, Netskope has developed a native integration with Microsoft Sentinel using the Codeless Connector Platform—allowing organizations to easily stream all CASB alerts, DLP incidents, and threat logs into Microsoft’s cloud-native SIEM.

SOC teams across businesses, industries, and geographies share the same goal: Stop cyberattacks before damage is done. But for those with legacy SIEMs, this is nearly impossible to achieve. Legacy SIEMs demand an overwhelming investment of time, resources, and expertise to set up and maintain.

The UK’s National Health Service (NHS) has transformed its approach to validating its level of cybersecurity maturity across healthcare by adopting the National Cyber Security Centre (NCSC) Cyber Assessment Framework (CAF). This shift is key to achieving the NHS’s broader goals: protecting patient data, ensuring uninterrupted healthcare delivery, and building the foundation for a fully digitized healthcare system by 2030.

We’re excited to announce Jit’s integration with Semgrep Code, bringing best-of-breed static application security testing (SAST) into Jit’s complete product security platform. This integration makes it easier than ever for security teams to detect, unify, and prioritize code security vulnerabilities alongside other product security risks.

AI agents are revolutionizing how businesses operate by automating tasks, improving efficiency, and accelerating decision making. These intelligent systems leverage advancements in machine learning, natural language processing, and automation to handle complex workflows with minimal human intervention. Unlike traditional rule-based automation, AI agents can interpret unstructured data, follow contextual workflows, and integrate seamlessly with enterprise systems.

When systems go down, data is leaked, or unusual activity spreads across a network, how organizations respond can mean the difference between disruption and disaster. This is the essence of cyber incident response. It is a critical capability that sits at the heart of operational resilience. It’s not just about reacting to threats but about managing them in a way that protects the organization’s assets, reputation and ability to function.