The Colonial Pipeline ransomware incident highlighted the significant threat that ransomware poses to organizations overseeing industrial control systems (ICS) and operational technology (OT). This white paper will closely examine a real-world ransomware attack on an energy supplier that was detected in real time by self-learning AI technology.
This white paper examines the technology and design principles behind Darktrace’s Cyber AI Analyst, a groundbreaking innovation that automates threat investigations at speed and scale.
This report explores the implications of the pandemic on the cyber-threat landscape, focussing on four key attack trends, from compromised SaaS credentials to ransomware.
Securing OEM networks involves challenges that require a solution that goes beyond securing specific OEM products in isolation. By providing full visibility, AI investigations, continuous detection and, where appropriate, autonomous response, self-learning AI complements static OEM security with adaptive defense capabilities.
This white paper discusses Darktrace's Industrial Immune System, a fundamental innovation that views data from an Industrial Control System network in real time, and establishes an evolving baseline for what is normal for operators, workstations and automated systems within that environment.
This technical white paper examines the multiple layers of machine learning that make up Darktrace’s Cyber AI, and how they are architected together to create an autonomous, system that self-updates, responding to, but not requiring, human input.
This white paper evaluates the development of OT attack campaigns, identifying new trends in order to anticipate what an AI-augmented ‘Triton 2.0’ attack might look like.
While primarily aimed at organizations that own or operate critical infrastructure, the NIST Framework can be advantageous for any organization that implements it, in any industry, as it provides concrete guidance on how to measure and improve an organization’s cyber security.
This white paper explains how Darktrace can help financial services organizations comply with key areas of the new 23 NYCRR 500 regulation, particularly with some of the more challenging measures, such as the 72-hour rule, managing third-party risk, and detecting and responding to cyber-threats.
This white paper explains how Darktrace can help financial services organizations comply with the regulations of the new SAMA Cyber Security Framework. Applicable to a range of requirements, Darktrace AI will enable businesses in Saudi Arabia to meet the most challenging obligations of the framework.
This white paper explains how the Darktrace AI platform helps your company to comply with the Cyber Assessment Framework of the EU's NIS Directive, released in April 2019.
This report provides several case studies of alerts raised in real industrial networks where Darktrace was deployed. Each example features a description of the alert and the outcome of the specific investigation.
As attackers learn to move at unprecedented speeds, organizations are embracing cyber AI to regain the advantage over today’s ever-changing adversary – and win. This special report highlights five real-world threat scenarios in Asia, that were identified and neutralized by Darktrace’s powerful AI technology as they were emerging, before they could escalate into crises.
This white paper explores the Australian cyber-threat landscape and the recent legislation and strategies introduced by Scott Morrison’s government, before taking a close look into how Cyber AI protects Australian organisations, including customer case studies and threat finds.
The Australian NDB Scheme is a legislative framework that introduces rigorous and mandatory data breach notification provisions for all entities regulated by the Privacy Act 1988. This white paper explains how Darktrace detects the earliest signs of anomalous activity to ensure compliance.
Today’s organisations face remarkably urgent risk factors in an era of automated and fast-moving cyber-threats. Discover how Darktrace supports compliance with APRA CPS 234 with its self-learning Cyber AI, ensuring that threats are dealt with as soon as they arise and that all necessary information for auditing and reporting purposes is supplied.
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Rapports d’analystes du secteur
This report reveals the status of organizations’ efforts to secure the dynamic workforce, their key challenges, unique security threats, and technology gaps and preferences, as based on insights from cyber security professionals.
This research report from HMG Strategy in collaboration with Darktrace explores what offensive AI attacks will look like, the impact they will have on organizations, and why defensive AI is crucial for defenders to stay one step ahead as threats grow in sophistication and speed.
This report, produced by Cybersecurity Insiders, reveals the recent rise of insider threats and explores how organizations across industries are addressing the challenges surrounding internal risk.
This report from Forrester evaluates the emergence of offensive AI, organizations’ current security practices, and how well prepared they are to fight off such attacks.
This case study from leading analyst firm IDC tells the story of Milton Keynes University Hospital (MKUH) NHS Foundation Trust in England, which deployed Darktrace’s Cyber AI Platform to fight back against advanced attacks in the wake of last year’s global WannaCry campaign.
This report from leading analyst firm Ovum declares Darktrace’s Enterprise Immune System “a strong example of leveraging artificial intelligence” and “one of the few cases where talk about use of AI in cyber security has turned into action”.
This report analyzes how Darktrace's use of unsupervised machine learning is positioning it as the leader in anomaly detection, and outlines how Darktrace Antigena autonomously responds to potential threats in real time.
This report from 451 Research provides an overview of Darktrace’s technology and products, along with the current state of the cyber-security industry and where Darktrace fits in today’s landscape.