Despite the growing popularity of hybrid environments, most organizations face challenges in achieving unified visibility between on-premises and cloud networks. AI-powered platform tools can bridge this gap in visibility to reduce detection and response times and simplify operations.

The biggest sources of risk in the cloud are misconfigurations, IAM failures, and infrastructure that is unprepared to handle cross-domain threats. Learn how AI-powered cloud security tools can help security teams identify and mitigate these risks.

While many internal teams contribute to general cloud hygiene, the security team has increasingly taken the lead on cloud security. Learn how AI-powered cloud detection and response tools can help these teams with new responsibilities.

This blog highlights how vulnerability data, collected using Cado's new vulnerability discovery feature, can be fused with threat data to help deepen the understanding of an attack, as well as guide remediation efforts.

Darktrace / CLOUD combines with Cado’s automated forensics capture to achieve rapid containment and deep investigative capabilities. Learn more about accelerating MTTR here.

This blog dives into the strengths and limitations of CNAPP, explaining how a CDR solution can enhance cloud security to identify and mitigate cross-domain threats.

Cloud security solutions can be deployed with agentless or agent-based approaches or use a combination of methods. Organizations must weigh which method applies best to the assets and data the tool will protect.

In the coming years, cloud security will not only need to adapt to increasingly complex environments as ecosystems become more distributed, but also to rapidly evolving threats like supply chain attacks, advanced misconfiguration exploits, and credential theft. AI-powered cloud security tools can help security teams keep up.

This blog highlights how Darktrace / CLOUD leverages self-learning AI to tackle critical cloud security challenges—such as misconfigurations, hybrid environment complexity, securing productivity suites, and agent fatigue—by providing unified visibility, intelligent monitoring, and real-time threat response to empower organizations with proactive protection.

This blog announces the general availability of Microsoft Azure support for Darktrace / CLOUD, enabling real-time cloud detection and response across dynamic multi-cloud environments. Read more to discover how Darktrace is pioneering AI-led real-time cloud detection and response.

As cloud adoption surges, the need for scalable, cloud-native security is paramount. This blog explores whether Cloud Detection and Response (CDR) is merely Network Detection and Response (NDR) tailored for the cloud, highlighting the unique challenges and essential solutions SOC teams require to secure dynamic cloud environments effectively.

Many companies use third-party data management for efficiency, global access, collaboration, and reliability. Find out what those organizations need to know about addressing the security risks and best practices associated with third-party data management.

Understand the evolution of cloud-based attacks and the increasing use of alternative methods for initial access in cyber threats.

Discover cloud migration insights, security challenges, best practices, and Darktrace's unique approach to enhancing cloud visibility and risk management.

Explore strategies, services, and risks associated with mastering cloud migration. Learn more here about hybrid cloud model, benefits, and migration phases.

Darktrace's autonomous response successfully thwarted a Trickbot intrusion. See how AI played a crucial role in this defense.

Darktrace integrates AI with Amazon Security Lake for enhanced security investigations & threat detection. Learn how this collaboration benefits security teams.

Darktrace highlights a handful of data theft incidents on shared cloud platforms, showing that cloud computing can be a vulnerable place for modern extortion.