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Submitted URL: http://darktracecommunity.com/
Effective URL: https://darktrace.com/research
Submission: On January 06 via manual from JP — Scanned from JP
Effective URL: https://darktrace.com/research
Submission: On January 06 via manual from JP — Scanned from JP
Form analysis
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<div class="text-body-regular consent-text _40-left-padding">For more information, please see our <a href="https://darktrace.com/legal/privacy-policy">Privacy Notice.</a></div>
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Text Content
Blog Customer Portal News Partners Overview Technology Partners Integrations Partner Portal Become a partner Company Overview Careers Investors Leadership Legal Contact us Contact Why Darktrace? Products Products DaRKTRACE PREVENT ™ Harden security inside and out. DaRKTRACE DETECT ™ See attacks instantly. DaRKTRACE RESPOND ™ Disarm within seconds. DaRKTRACE HEAL ™ Restore back to health. Darktrace Unveiling Ceremony at McLaren Headquarters Core coverage Cloud Apps Email Endpoint Zero Trust Network OT Integrations Darktrace is designed with an open architecture that makes it the perfect complement to your existing infrastructure and products. Explore integrations Solutions RansomwareInsider ThreatPhishingAccount Takeover MicrosoftGoogleAmazon IT/OT ConvergenceCloud TransformationM&AAttack EmulationSecurity AwarenessRisk & ComplianceWork from HomeAdvanced Threat Hunting SMBEnterpriseGovernmentCritical Infrastructure Customers AI Research Centre Resources Webinars Attack Path Modeling: Giving the Good Guys the Advantage Outpacing Cybersecurity Adversaries: Hosted by MIT Technology Review All webinars Events UK Cyber Week All events White papers Self-Learning Cloud Security Managing Autonomous Decision Making All white papers data sheets Darktrace Open Architecture: Plugging Cyber AI Into Your Digital Ecosystem How AI is Protecting Norway's Energy Suppliers All data sheets BlogNewsroomCompanyCustomer PortalPartners GET A DEMO Close GET A DEMO See Darktrace in action Name Email Organization Job Title Phone Number CountryCountryUnited StatesCanadaAfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBruneiBulgariaBurkina FasoBurundiCambodiaCameroonCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosRepublic of the CongoCook IslandsCosta RicaCroatiaCubaCyprusCzechiaDenmarkDjiboutiDominicaDominican RepublicEast TimorEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsraelItalyIvory CoastJamaicaJapanJordanKazakhstanKenyaKiribatiNorth KoreaSouth KoreaKosovoKuwaitKyrgyzstanLaosLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMacedoniaMadagascarMalawiMalaysiaMaldivesMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNetherlands AntillesNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorthern Mariana IslandsNorwayOmanPakistanPalauPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarReunionRomaniaRussiaRwandaSaint Kitts and NevisSaint LuciaSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSpainSri LankaSaint HelenaSaint Pierre and MiquelonSudanSurinameSvalbard and Jan MayenSwazilandSwedenSwitzerlandSyriaTaiwanTajikistanTanzaniaThailandTogoTokelauTongaTrinidad and TobagoTunisiaTurkeyTurkmenistanTurks and Caicos IslandsTuvaluUgandaUkraineUnited Arab EmiratesUnited KingdomUnited States Minor Outlying IslandsUruguayUzbekistanVanuatuVaticanVenezuelaVietnamBritish Virgin IslandsU.S. Virgin IslandsWallis and FutunaWestern SaharaYemenZambiaZimbabweAland IslandsCuracaoDemocratic Republic of the CongoJerseyIsle of ManGuernseySaint MartinMaliPalestinian TerritorySint MaartenBonaire, Saint Eustatius and SabaSouth SudanSerbia and MontenegroSaint Barthelemy Organization SizeOrganization Size50 employees or fewer51 to 250 employees251 to 500 employees501 to 1,000 employees1,001 to 5,000 employeesMore than 5,000 employees Yes, I would like to receive marketing emails from Darktrace about their offerings. For more information, please see our Privacy Notice. Thank you! Your submission has been received! Oops! Something went wrong while submitting the form. Contact us Start free trial Why Darktrace? Products Products OverviewDarktrace PREVENT™Darktrace DETECT™Darktrace RESPOND™Darktrace HEAL™ Core coverage CloudAppsEmailEndpointZero TrustOTNetwork Integrations Explore Integrations SolutionsCustomersAI Research Centre Resources Resource OverviewWebinarsEventsDatasheetsWhite Papers BlogCustomer PortalNews Partners OverviewTechnology PartnersIntegrationsPartner Portal Company Overview Careers Investors LeadershipLegalContact us AI Research Abstracts AI Research CENTRE Home Research Abstracts Innovating Cyber Recovery - Key to Cyber Resilience Rapid Process-Chain Anomaly Detection Using a Multistage Classifier Sorting long lists of file names by relevance and sensitive content A system for analyzing network activity to detect stealthy cryptocurrency mining Autonomous detection of the intended function of a corporate inbox through meta-scoring Using epidemiology theory to identify the most damaging network devices Automatic Identification of Scanned IP Ranges A real-time, self-correcting similarity classifier for emails Attack Path Modeling Research Prevent: Security through Adversity Using graph theory to identify critical nodes within computer networks Analyzing network activity to detect compromised devices sending spam emails Detecting and preventing misdirected emails with correspondence semantics Gaussian constructions on surfaces for anomalous event identification Structural construct detection as a variable indicator of compromise Identifying compromises with graphs of high-precision security metadata Programmatically monitoring disparate SaaS environments Analysis of email structure to detect malicious intent Securing tenant data in the public cloud Matryoshka Bloom filters quickly and efficiently determine rarity Robust identification of ransomware encryption over SMB Identification of cryptomining credentials and their use in differentiating between insider threats and wide-spread malware Identification of services associated with data uploads for analysis of exfiltration A multi-platform approach to autonomous response DARKTRACE CYBER AI RESEARCH CENTRE > Research unlocks the unknowns; it also helps shed light on what we are > collectively up against. — JACK STOCKDALE OBE, CTO OUR HISTORY The Darktrace AI Research Centre is foundational to our continued innovation. Teams of mathematicians and other experts examine how AI can be applied to real-world problems, to find new paths forward to augment human capabilities. With more than 100 patents and patents pending, the AI Research Centre comprises more than 150 members, including experts with 80 master's degrees and 30 doctorates in disciplines from astrophysics to linguistics to data science. Rather than confined to work on product roadmaps, researchers are free to experiment and explore, guided by creative insight arising from pure research. Yet we have never shied away from taking on real challenges faced by the industry, and the AI Research Centre operates with a common goal of solving these challenges with AI and mathematics. Following Darktrace’s acquisition of Cybersprint, a second R&D center is operational in The Hague, The Netherlands. The AI Research Centre has produced numerous award-winning breakthroughs, which have gone on to form the AI capabilities that today comprise our products contained in the Darktrace Cyber AI Loop. Please see below a selection of research abstracts stemming from these research initiatives. 48% Headcount increase in 2021 30 Doctorates 88 Masters > [The Centre] saw growth of 69.2% in related patent applications in the three > months ending November, compared to the same period [the previous year] — the > highest percentage growth out of all companies tracked. — GLOBAL DATA FEATURED RESEARCH Innovating Cyber Recovery - Key to Cyber Resilience Read our second Darktrace Discourse paper, authored by John C. Allen, MBA, CRISC, and VP Cyber Risk & Compliance, Darktrace. This paper reviews the current state of incident recovery and sets forth seven areas of innovation to improve Recovery from cyber incidents, based on a core capability: Real-Time Adaptive Incident Response. Download Attack Path Modeling Research This paper outlines the Attack Path modeling (APM) module of Darktrace PREVENT, exploring how real-time, automated, dual-aspect, multi-data-source, end-to-end APM can be used to give blue teams a comprehensive view of realistic, risk-prioritized attack paths so that resources can be best allocated to defend key assets. Download Prevent: Security through Adversity Read our Darktrace Discourse paper, authored by one of our researchers based at the Centre. The author has seven years’ experience in the automation of complex cyber-centric processes with specialization in the offensive domain, and holds a PhD in Astrophysics from the University of Cambridge. Download RESEARCH Structural construct detection as a variable indicator of compromise Detecting email spoofing attempts by identifying unusual patterns in HTML and CSS. Researchers Stephen Pickman Read more Sorting long lists of file names by relevance and sensitive content Quickly assessing the importance of compromised files before, during and after an attack. Researchers Dr. Andrés Curto Martín Read more Using graph theory to identify critical nodes within computer networks How graph theory can be used to map out cross-domain, realistic, and risk-assessed attack paths across an entire digital enterprise Researchers Darktrace researcher, PhD Read more Detecting and preventing misdirected emails with correspondence semantics Identifying if the recipient of a particular email appears correct in the wider context of user activity. Researchers Ben Akrill Read more Autonomous detection of the intended function of a corporate inbox through meta-scoring Knowing which corporate inboxes are supposed to receive a lot of email and which are not. Researchers Dr. Steven Haworth Read more Identification of services associated with data uploads for analysis of exfiltration How the intelligent analysis of connection properties can help assess whether specific uploads are associated with malicious exfiltration. Researchers Dr. Tim Bazalgette Read more Identification of cryptomining credentials and their use in differentiating between insider threats and wide-spread malware How global analysis of cryptomining credentials can identify malicious criminal organizations leveraging corporate computing power for financial gain. Researchers Dr. Andrew Woodford Read more Robust identification of ransomware encryption over SMB How the high-level analysis of SMB operations, files, and properties can identify ransomware infections. Researchers Dr. Tim Bazalgette Read more Programmatically monitoring disparate SaaS environments Optimizing the use, visibility and security of environments that span multiple complex cloud and SaaS environments. Researchers Jacob Araiza Read more A system for analyzing network activity to detect stealthy cryptocurrency mining Using AI to detect hard-to-see crypto-mining activity on corporate devices. Researchers Dr. Andrés Curto Martín Read more Rapid Process-Chain Anomaly Detection Using a Multistage Classifier Timely analysis uses simple methods for simple problems and deep learning for difficult problems, but only if you can tell the difference. Researchers Dr. Matthew Ferguson Read more Securing tenant data in the public cloud Secure practices to ensure corporate data sitting within public servers such as AWS is sufficiently isolated, in the event of a data breach targeting these public cloud providers. Researchers Alex Smith Read more Automatic Identification of Scanned IP Ranges Identifying targets of reconnaissance amongst the noise of background network activity Researchers Dr. Tim Bazalgette Read more Matryoshka Bloom filters quickly and efficiently determine rarity A novel data structure for the efficient storage and retrieval of statistics on how common strings are in specific environments. Researchers Dr. Matthew Ferguson Read more Gaussian constructions on surfaces for anomalous event identification Determining anomalies by creating probability density functions on different surfaces corresponding to the properties of interest. Researchers Dr. Tim Bazalgette Dr. Dickon Humphrey Read more Analyzing network activity to detect compromised devices sending spam emails Distinguishing between genuine and illegitimate email traffic from network servers. Researchers Dr. Andrés Curto Martín Read more A real-time, self-correcting similarity classifier for emails Recognizing when similar but subtly different emails were sent by the same sender or as part of a campaign, but also recognizing when the similarity is coincidental. Researchers Dr. Steven Haworth Read more Identifying compromises with graphs of high-precision security metadata Using directed graphs of lower-level security events to reliably discover complex security incidents. Researchers Dr. Tim Bazalgette Dr. Dickon Humphrey Read more Analysis of email structure to detect malicious intent Using AI to determine whether an email is trying to induce the reader to do something that would lead to compromise, such as clicking on a link or opening a file. Researchers Dr. Antony Lawson Read more A multi-platform approach to autonomous response How autonomous response technology works seamlessly across different environments, providing a solution for organizations using multiple cloud environments and SaaS applications. Researchers John Boyer Read more Using epidemiology theory to identify the most damaging network devices Preventing disaster by modeling how an attack might spread after an initial compromise Researchers Jake Lal Read more RESEARCHERS BACHELOR OF SCIENCE Stanford University Specializes in electrical engineering including analog circuit design and organic semiconductors. PHD IN ASTROPHYSICS University of Cambridge Specializes in general automation of complex, typically human-driven processes with current focus on adversarially-oriented preventative security. PHD IN MATHEMATICS AND PHYSICS University of Cambridge Specializes in applications of machine learning and statistical analysis, clustering techniques and the use of neural networks for the classification of categorical data. PHD IN BIOCHEMISTRY University of Cambridge Specializes in neuroscience and behaviour modeling, machine learning to identify novel threats, and automated healing of computer systems following a digital compromise. MASTER’S IN MATHEMATICS Durham University Specializes in mathematical biology and mathematical modeling, numerical analysis and adversarial attack simulations. PHD IN STATISTICS Durham University Specializes in non-parametric modeling, statistical and optimization problems, dimension reduction and classification problems. MASTER’S IN PHYSICS University of Cambridge Specializes in the application of nuclear magnetic resonance to manufacturing processes, and the application of machine learning to galaxy clustering. MASTER’S IN ENGINEERING University of Oxford Specializes in applications of machine learning techniques in bioengineering, applying neural networks to extract structures in medical imagery, and investigating novel phishing techniques. PHD IN THEORETICAL LINGUISTICS University of Cambridge Specializes in algorithmic modeling of cognitive representations and acquisition of natural language syntax. PHD IN COSMOLOGY University of Cantabria Specializes in developing novel advanced statistical techniques in data analysis and software engineering for supercomputers. PHD IN MATHEMATICS University of Bath Specializes in applications of AI to endpoint and cloud environments and network traffic analysis. PHD IN MATHEMATICS University of York Specializes in mathematical physics, anomaly detection in complex data to improve efficiency, and optimization and stability in data processing. 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