Darktrace Cyber AI: クラウドセキュリティのための免疫システム
Darktrace Antigena : AI による自動対処の未来
Enterprise Immune System蓋然性を考慮した次世代のサイバー防御
Darktrace Industrial が検知できること
Darktrace Discoveries in Asia
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 white paper investigates how a unified approach to threat detection and response enables the Darktrace Immune System to neutralize advanced threats that other tools miss.
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 explains Darktrace’s approach to machine learning and shines a light on the unique interplay between unsupervised machine learning, supervised machine learning, and deep learning behind the world’s leading cyber AI technology.
Triton 2.0 & The Future of OT Cyber-Attacks (英語)
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.
General Data Protection Regulation (英語)
The implementation of GDPR represents one of the most significant events in data protection regulatory history. Darktrace is applicable to a range of requirements under GDPR. Darktrace provides the real-time visibility required to make intelligence-based decisions in live situations, while enabling in-depth investigations into historical activity.
NIST Framework for Improving Critical Infrastructure Cybersecurity (英語)
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.
Complying with New York DFS Cybersecurity Regulations (英語)
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.
Darktrace and the SAMA Cyber Security Framework (英語)
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.
Darktrace and the UK NIS Directive (英語)
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.
Australian Notifiable Data Breaches Scheme (英語)
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.
Greg DeBrecourt, Cybersecurity Manager at AeroVironment, discusses how Darktrace Cyber AI provides total visibility into the company’s infrastructure. Darktrace is the “extra set of eyes” that allows the team to continuously monitor its digital estate, including data transfers and user activity.
King’s Hawaiian (英語)
King’s Hawaiian, world famous for its Hawaiian sweet rolls, turned to Darktrace AI to secure its complex digital ecosystem and manufacturing floor from advanced cyber-threats. Learn how Darktrace’s Cyber AI is able to detect and respond to the earliest signs of cyber-attack regardless of where they emerge across the expansive organization – keeping the brand’s IP secure and the production facilities operational.
Wind Creek Hospitality (英語)
With more than 10 gaming properties across the United States, learn how Wind Creek Hospitality relies on Darktrace AI to identify and contain emerging vulnerabilities and cyber-threats to each location. With a diverse and complex digital environment, Darktrace’s cyber AI is able to learn and understand the pattern of life for the entire enterprise – all without human tuning or configuration.
Salve Regina University (英語)
As a leading institute in higher education, Salve Regina University needed a cyber technology that could keep student and university data secure, while still enabling the free flow of information on campus. Learn how Darktrace cyber AI has allowed the university to meet this challenge head on, and how its team relies on Antigena to fight back against threats before they can do damage.
“The bad guys are already using AI to devise spear phishing attacks. It’s a cyber war.” Learn how Hydrotech, a leading industrial technology provider, uses Darktrace’s Cyber AI to fight back against sophisticated threats to its cloud and SaaS environments.
Global Travel (英語)
Global Travel is a Singapore-based travel management company which provides end-to-end solutions for both business and leisure clients. Deploying Darktrace’s Enterprise Immune System, Antigena Email and Antigena Network, Global Travel can protect its employee and customer data from phishing attacks, unauthorized data exfiltration and insider threat, with enterprise-wide coverage and visibility.
eBay Classifieds Group (英語)
“The ability to see and take action is key, which is why we are so excited about the Antigena capability that Darktrace has.” Hear from James Bynoe, Head of Cyber & Information Security from eBay Classified, on how Darktrace’s AI for cyber can raise the bar and help small teams’ performance “by having artificial intelligence as a component of your overall program”.
Gallagher-Kaiser Corporation (英語)
Gallagher-Kaiser Corporation is a Michigan based turn-key supplier of paint finishing systems, commercial HVAC, and mechanical automotive systems. Hear from Rick Bertoncin, Director of Technology and Security: “I truly think everybody should have artificial intelligence as part of their arsenal in cyber security.”
In an effort to protect its foundational intellectual property as well as its sensitive customer, employee, and partner information, Aqua-Leisure deployed Darktrace’s self-learning technology. According to Leonard Galinsky, Director of IT for Aqua-Leisure, “Darktrace has allowed us to gain unprecedented insight.”
Pacific Dental Services (英語)
Hear from Nemi George, Senior Director of Information Security at Pacific Dental Services discuss how Darktrace’s cyber AI defends its network from the inside out.
Australian Non-Profit Youth Organisation
Australian Independent School
East Asian Telecommunications Company
UK Restaurant Chain
Peer-to-Peer Lending Marketplace
Electricity Transmission Company
International Sporting Goods Manufacturer
US Bicycle Retailer
Global Educational Foundation
Legislative Governing Body
US Credit Union
UK Law Firm for Pensions & Retirement Savings
UK Energy Saving Organization
UK Reinsurer of Terrorism Risk
UK Real Estate Investment Trust
Cypriot Law Firm
US Software Company
Global Maritime Company
UAE Logistics Provider
US Telecommunications Company
South African Insurance Company
Independent International School
International Digital Payment Company
Italian Digital Service Provider
Canadian Media Content Company
UK Investment Manager
Italian Gaming Company
Global Furniture Manufacturer
Online Car Rental Service
European Vehicle Supplier
Italian Publishing House
International Plumbing Technology Manufacturer
Provider of Public Safety Software
Italian Jewelry Brand
Pioneer of Digital Credential Management Services
French Risk Management Company
Italian International Airport
Global Dried Fruit Manufacturer
US Healthcare Provider
Global Contract Manufacturing Organization
HMG Strategy: The Threat Landscape of Today and Tomorrow (英語)
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.
Cybersecurity Insiders: 2020 Insider Threat Report (英語)
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.
Forrester: The Emergence of Offensive AI (英語)
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.
IDC Perspective: Making Strides in Cybersecurity (英語)
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.
Ovum: ‘Darktrace AI powers all phases of threat defense’ (英語)
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”.
451 Research: ‘Darktrace succeeding with a focus on the ‘good’ and the ‘not good enough’’ (英語)
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.
451 Research: ‘Darktrace is immune to old security ideas’ (英語)
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.
Ovum ‘On the Radar: Darktrace detects threats with machine learning’ (英語)
Ovum’s Rik Turner outlines and analyzes Darktrace’s unique approach to cybersecurity and how it fulfills the need for anomaly-based threat detection without rules and signatures.