The New Era of Cyber-Threats: The Shift to Self Learning, Self Defending Networks
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Enterprise immune systems use machine learning and AI to provide self-learning, self-defending networks for organizations. Darktrace's Enterprise Immune System uses unsupervised machine learning across 350+ data features to establish a "pattern of life" for every user, device, and their relationships to autonomously detect threats without predefined rules. It has detected over 63,500 in-progress threats across many organizations, completing the immune system model with real-time responses. Customers praise Darktrace for its unique ability to detect even unknown threats and insider behaviors.
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Chambers, Executive Chairman of Cisco, famously said “there
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how quickly they can isolate and mitigate the threat.
In this paper, we’ll examine best practices for effective
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and reactive (threat isolation and mitigation) perspective.
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auto-securing and self-healing network.
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Information Securityfind an article online discussing defense-in-d.pdf
Information Security
find an article online discussing defense-in-depth. List your source and provide a paragraph
summary of what the article stated.
Solution
Abstract
The exponential growth of the Internet interconnections has led to a significant growth of cyber
attack incidents often with disastrous and grievous consequences. Malware is the primary choice
of weapon to carry out malicious intents in the cyberspace, either by exploitation into existing
vulnerabilities or utilization of unique characteristics of emerging technologies. The
development of more innovative and effective malware defense mechanisms has been regarded
as an urgent requirement in the cybersecurity community. To assist in achieving this goal, we
first present an overview of the most exploited vulnerabilities in existing hardware, software, and
network layers. This is followed by critiques of existing state-of-the-art mitigation techniques as
why they do or don\'t work. We then discuss new attack patterns in emerging technologies such
as social media, cloud computing, smartphone technology, and critical infrastructure. Finally, we
describe our speculative observations on future research directions.
A multi-layered approach to cyber security utilising machine learning and advanced analytics is
essential to defend against sophisticated multi-stage attacks including:
Insider Threats | Advanced Human Attacks | Supply Chain Infection | Ransomware |
Compromised User Accounts | Data Loss
Prepare for a cyber security incident or attack and how to adequately manage the aftermath with
an organised approach to Incident Response – coordinating resources, people, information,
technology and complying with regulations.
INSIDER THREATS
Insider threat can originate from employees, contractors, third party services or anyone with
access rights to your network, corporate data or business premises.
The challenge is to identify attacks and understand how they develop in real-time by analysing
and correlating the subtle signs of compromise that an insider makes when they infiltrate the
network.
Traditional security measures are no longer sufficient to combat insider threat. A more
sophisticated, intelligence-based approach is required. Cyberseer uses machine-learning
technology to form a behavioural baseline for every user to determine normal activity and spot
new, previously unidentified threat behaviours. The move to a more proactive approach towards
security will enable companies to take action to thwart developing situations escalating into
exfiltrated information or damaging incidents.
ADVANCED HUMAN ATTACKS
Advanced threats use a set of stealthy and continuous processes to target an organisation, which
is often orchestrated for business or political motives by individuals (or groups). The “advanced”
process signifies sophisticated techniques using malware to exploit vulnerabilities in
organisations systems. They are considered persistent because an external command and control
system .
Custom defense - Blake final
This document discusses the growing threats posed by cyber attacks and advanced persistent threats (APTs). It notes that most breaches are discovered by third parties, and targeted attacks have become the norm. The reality is that a new threat is created every second, a cyber intrusion occurs every 5 minutes, and over 90% of enterprises have malware. Analysts urge organizations to adopt advanced threat detection capabilities. The document then describes Custom Defense's solution, which provides network-wide detection, threat intelligence, custom sandboxes for analysis, and automated security updates. It provides examples of how the solution integrates with other Trend Micro products and third-party technologies.
[배포용_최종] CISSP협회 제72회 정보보호리더십세미나_Cybersecurity Mesh, Identity First_v1.0.pdf
[Write Date : 2022.07.27]
[Written by James.yoo]
The purpose is to understand the future technology of the digital society that is changing due to the pandemic society. Among them, the overview, use cases, preparations, and considerations for Cybersecurity Mesh listed in Garter TOP 10 were considered.
If you want to know the changed society of the future, you should read it.
supply chain management.pptx
In 3 sentences:
The document discusses information systems for supply chain management and identifies uncertainties, risks, and cybersecurity as key issues. It proposes a new approach for identifying and predicting supply risk under uncertain conditions and a complex solution for securing data in supply chain information systems. Several strategies are discussed for managing risks from new technologies like cloud computing, IoT devices, and DevOps services that are increasingly used in supply chain systems.
Why Cyglass?
Cyglass is a network centric, dark threat detection solution that allows you to uncover, pinpoint, and respond to advanced cyber threats that have evaded traditional security controls. If you're not interested in what we have to offer, here are 8 key reasons why you should be...
Haystax Technology - About Us
Next generation analytics and cybersecurity solutions that takes a holistic approach to enabling, protecting, managing and supporting mission critical enterprise systems.
Iurii Garasym. The future crimes and predestination of cyber security. Though...
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This session will discuss what attendees learned at The ISSA International Summit 2019, held on October 1-2 at in Irving/Dallas, TX.
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Tenable Solutions for Enterprise Cloud Security
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CLASS 2018 - Palestra de Denis Prado (Security Intelligence Sales Leader Lati...
Cognitive security solutions using artificial intelligence can help address cybersecurity threats by assisting overworked human analysts. Watson provides a cognitive security platform that analyzes both structured security data and vast amounts of unstructured online data to gain insights. It helps speed up investigation of incidents by quickly providing relevant indicators, related threats, and recommended courses of action based on its security knowledge graph. This frees up analysts to focus on higher-level tasks. Customers have seen Watson reduce investigation time from 50 minutes to just 10 minutes on average.
Ciberseguridad en el mundo de la IA
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F5 Hero Asset - Inside the head of a Hacker Final
The document provides 10 steps to safeguard a business from growing cyber threats. It notes that 72% of attacks target user identities and applications rather than servers and networks. The document then explores the current security landscape, why and how businesses may be vulnerable, and profiles different types of hackers including cyber criminals, state-sponsored attackers, hacktivists, and cyber terrorists. It discusses how new ways of working and an increasingly digital world have increased complexity and opportunities for cyber attacks.
Lessons Learned Fighting Modern Cyberthreats in Critical ICS Networks
A presentation given in April 2019 in London during ICS Cyber Security Conference. I discuss an anonymized investigation conducted by our team to identify a real malware infection on a production network, the tools and techniques used to contain this threat and how to use threat intelligence and visibility to stay ahead of cyber adversaries.
Asset visibility and network baselining
Continuous network monitoring
Threat intelligence ingestion
Thorough incident response plans
Similar to The New Era of Cyber-Threats: The Shift to Self Learning, Self Defending Networks (20)
The-Enterprise-Immune-System-Using-Machine-Learning-for-Next-Generation-Cyber...
The-Enterprise-Immune-System-Using-Machine-Learning-for-Next-Generation-Cyber...
Toward Continuous Cybersecurity with Network Automation
Toward Continuous Cybersecurity with Network Automation
Toward Continuous Cybersecurity With Network Automation
Toward Continuous Cybersecurity With Network Automation
CLASS 2018 - Palestra de Mariana Pereira (Diretora – Darktrace)
CLASS 2018 - Palestra de Mariana Pereira (Diretora – Darktrace)
Information Securityfind an article online discussing defense-in-d.pdf
Information Securityfind an article online discussing defense-in-d.pdf
[배포용_최종] CISSP협회 제72회 정보보호리더십세미나_Cybersecurity Mesh, Identity First_v1.0.pdf
[배포용_최종] CISSP협회 제72회 정보보호리더십세미나_Cybersecurity Mesh, Identity First_v1.0.pdf
Iurii Garasym. The future crimes and predestination of cyber security. Though...
Iurii Garasym. The future crimes and predestination of cyber security. Though...
CLASS 2018 - Palestra de Denis Prado (Security Intelligence Sales Leader Lati...
CLASS 2018 - Palestra de Denis Prado (Security Intelligence Sales Leader Lati...
Lessons Learned Fighting Modern Cyberthreats in Critical ICS Networks
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
The New Era of Cyber-Threats: The Shift to Self Learning, Self Defending Networks
- 1. Enterprise Immune Systems: The Shift to Self-Learning Self-Defending Networks Dave Palmer Director of Technology
- 2. Fundamental technology innovation Powered by machine learning and AI algorithms 620+ employees in 32 global offices Founded by world-leading mathematicians and government intelligence experts HQs in San Francisco and Cambridge UK Background & Growth “Darktrace detects threats without having to define the activity in advance” CIO, City of Las Vegas "Darktrace has reduced the mean time to detect intrusions by 40%.” Head of Cyber Defence, Blackhawk Network
- 3. Over 5,000 Deployments – From SMEs to Global Banks
- 7. Regain coverage of the total digital business
- 8. How Do You Learn a ‘Pattern of Life’? Data • Models raw data from centers of networks + cloud, virtual, SaaS, high-value log data • Creates 350+ data features for mathematical processing (e.g. frequency of login attempts, volume of data transfer, time of connections, etc.) Method • A dozen unsupervised machine learning algorithms use different approaches to gain complex understanding of behaviors, no matter the type of device or nature of the user • Recursive Bayesian Estimation to weight the importance of findings from different mathematical approaches • Establishes moving ‘pattern of life’ for every user, device, and all the relationships between them
- 9. Finds Threats That Get Inside Over 63,500 in-progress threats detected, including: Indiscriminate worms, Trojans, ransomware Exfiltration of sensitive data by insiders Hacked IoT devices, including HVAC, video conferencing, internet-connected fish tanks Irregular VPN access from remote users & sites Compromises of industrial control systems Attacks on physical security, such as biometric scanners & badge readers Long-term criminal campaigns and infrastructure hijacking
- 10. Completes the ‘immune system’ model Automatically produces real-time active responses to potential threats Targeted and proportionate response Not reliant on signatures or prior knowledge Current options: Antigena network Firewall/blocking technology integration Antigena for cloud environments Autonomous Response “Darktrace Antigena is the only automated cyber defense technology on the market that is capable of fighting the most important battles for us.” Michael Sherwood, CIO, City of Las Vegas
- 11. Customer Testimonials “Darktrace’s Enterprise Immune System has given us peace of mind that we are well-equipped to defend against today’s sophisticated attacks.” Dane Sandersen, Global Security Director “Darktrace’s unique Enterprise Immune System detects zero-day threats and suspicious insider behaviors, without having to define the activity in advance.” Michael Sherwood, CIO “Darktrace has already identified threats with the potential to disrupt our networks.” Martin Sloan, Head of Safety and Security “Darktrace’s machine learning and mathematics are extremely powerful in detecting activity that is abnormal and will be critical to our future cyber security offerings.” Mark Hughes, President, BT Security “The Enterprise Immune System is absolutely critical to detect new types of attacks and to visualize our network in real time.” Laura Whitt-Winyard, Director of Information Security “One of the great things about Darktrace is that it grows with you.” Chris Ampofo, CISO, Ipreo "Darktrace’s technology is unique.” CISO “Machine learning can detect things that we can’t predict and define. It’s like finding a needle in an enormous haystack.” Stuart Berman, Information Security Architect
- 12. Thank you