This blog describes cloud migration, what it is, security challenges, best practices, and how Darktrace takes a unique approach to helping organizations improve visibility and prioritize risk in the cloud.

Generative AI and other open-source tools are allowing threat actors to launch targeted 'one-on-one' attacks at scale. Security tools that apply AI in the wrong way won't see new and targeted attacks coming - but Self-Learning AI that trains itself on your data can. This blog compares cyber security AI approaches and methods.

Darktrace now integrates with Amazon Security Lake to augment the value security teams get from both products, streamlining analyst workflows and improving their ability to detect and respond to the full spectrum of known and unknown cyber-threats.

Der Hauptbenutzer von Darktrace in einem Fertigungsunternehmen erklärt, wie Autonomous Response die durch menschliches Versagen entstehenden Cyber-Risiken verringert und es dem Sicherheitsteam ermöglicht, einen proaktiven statt reaktiven Ansatz für die Sicherheit zu wählen.

This blog explains why AAA Washington’s security team chose Darktrace’s Self-Learning AI over a traditional SOC, and how they expanded its coverage to endpoints and the cloud.

Discover why Sellen Construction rely on Darktrace and Microsoft to protect their dynamic cloud environment, how AI Analyst saves its security team time in threat investigation, and how Darktrace enables self-learning protection across the business.

Complicated by increasing SaaS usage and global supply systems, the supply chain is the most pressing concern facing cyber security. This blog examines how Darktrace detected a phishing email from a trusted third party, which led to a vicious cycle of compromise.

This blog analyzes a sophisticated SaaS-based attack which leveraged several Microsoft 365 accounts to launch the offensive and maintain persistence.

This blog explains how AWS’s extension of VPC Traffic Mirroring to non-Nitro instances supports Darktrace’s real-time visibility and adaptive, autonomous defense for AWS cloud environments.

As working patterns continue to evolve, Darktrace provides visibility over the remote business, detecting everything from account takeovers to advanced phishing attacks. This blog discusses how Cradlepoint utilizes Self-Learning AI to secure its SaaS environments.

Discover how Darktrace's Microsoft 365 connector detected and investigated a 2FA-compromised Microsoft account takeover. Learn these preventative measures!

This blog explains how the visibility provided by Google’s Packet Mirroring enables Darktrace to seamlessly deploy in the cloud and form an understanding of what normal activity looks like for every user, container, application, and workload in a customer’s Google Cloud environment.

Version 5 offers a series of innovations across the Darktrace Immune System platform, bringing critical value to security teams grappling with the new normal. This blog explores how AI augments security teams with extended coverage across cloud services and zero-trust environments and an open architecture that enables seamless integrations.

With a major water utilities firm in the UK recently moving their SCADA systems to the cloud, this blog explores what ‘ICSaaS’ would look like in practice, and the security implications of such a transformation.

A logistics company was recently hit by a successful email attack that slipped through Mimecast and led to a compromised account, with the attacker accessing several sensitive files before sending out over 1000 emails to other employees. This blog details how Darktrace’s AI was able to detect the activity when legacy tools could not.

This blog outlines two cases of Microsoft 365 account takeover, detailing how Darktrace’s ability to correlate insights across SaaS applications and email activity enabled it to neutralize the threats.

This blog post explains how enterprise-wide and real-time analysis enables self-learning AI to uniquely detect and investigate threats in AWS environments at an early stage.

Durch das Erlernen der normalen Verhaltensmuster von Mitarbeitern in Cloud- und SaaS-Umgebungen hat die Cyber-KI-Plattform kürzlich zwei Vorfälle von SaaS-Kontoübernahmen in Echtzeit erkannt und untersucht.

The path forward is to use artificial intelligence to understand how users behave within a company’s perimeter walls.

The efficiencies promised by SaaS applications need not come at the cost of cyber security, since the latest AI cyber defenses shine a light on even the most nebulous traffic in the cloud.