This blog describes the internal and external cyber risks arising from mergers and acquisitions and how you can manage this with continuous AI-powered monitoring that outputs tangible and prioritized mitigation advice.
This blog addresses the issue of alert fatigue and explains how Cyber AI Analyst breaks down billions of individual events, first into anomalous events and then into prioritized security incidents ready for the security team's review.
Misconfigurations - whether accidental or malicious - are a growing threat in the face of rapidly expanding digital footprints comprising of cloud assets and bespoke OT technology. This blog explains how these are uncovered and remediated with Darktrace PREVENT.
This blog explains why shadow IT poses such a problem for cyber security professionals, and how risks can be reduced most effectively by combining attack surface management with attack path modelling and detection and response mechanisms.
The airline industry has long operated with thin profit margins and high security and safety standards. With cyber threats threatening downtime that many of these organizations cannot afford, Darktrace's Tony Jarvis suggests that they turn to preventative AI-driven technologies which can harden defenses before attackers make the first move.
The current threat landscape is rife with social engineering attempts across email, SMS and digital messaging. Discover why MFA and security awareness alone aren't enough to keep organizations safe from these tactics, and what Self-Learning AI can do to help.
The National Farmers' Union (NFU) is the largest farmers' organization in England and Wales. Narinder Bains, NFU's Infrastructure Manager, explains how the organization used Self-Learning AI to draw out pre-existing threats in its network, and now protects its employees in offices and at home with Darktrace/Endpoint.