It is now widely recognized that traditional approaches to cyber defense have been inadequate. Boundary controllers and filters such as firewalls and guards, virus scanners, and intrusion detection and prevention technologies have all been deployed over the last decade.
Based on the IEEE paper, "Denial and Deception in Cyber Defense", it assumes that an adversary will breach border controls and establish footholds within the defender’s network. So we need to study and engage the adversary on the defender’s turf in order to influence any future moves. A key component in this new paradigm is cyber denial and deception (cyber D&D). The goal of D&D is to influence another to behave in a way that gives the deceiver an advantage, creating a causal relationship between psychological state and physical behavior.
This document provides an agenda for a crash course on managing cyber risk using quantitative analysis. It covers concepts like risk, uncertainty, and risk management approaches. It then discusses qualitative, semi-quantitative, and quantitative risk analysis methods. Monte Carlo simulation and PERT distributions are presented as tools for quantitative analysis. Exercises are provided to demonstrate applying these concepts, including estimating the risk associated with unencrypted laptops being lost or stolen.
Vendor Cybersecurity Governance: Scaling the riskSarah Clarke
An overview of the scale of the challenge and rational ways to cut that down to manageable and governable size. Slides compliment recent supplier security governance related posts on Infospectives.co.uk and LinkedIn.
The basis of decision making for software development started in the 1980's with the application of classical discounted cash flow analysis.
This paper speaks to the extension of those principles to the development of Agile software
Risk Based Security and Self Protection Powerpointrandalje86
Miguel Sanchez presented on risk based security and self protection technologies. He discussed how the threat landscape has changed and the need for a proactive, risk based approach. This involves a multi-tiered risk management process including framing risks at the organizational, mission, and system levels. Emerging technologies like runtime application self protection can help applications protect themselves by monitoring for threats during execution.
This document provides an overview of programmatic risk management. It discusses:
1. The importance of managing risk to cost, schedule, and technical performance for project success.
2. How single point estimates are not sufficient and statistical estimates are needed to build a credible cost and schedule model given the uncertainty inherent in projects.
3. The key aspects of risk management including identifying risk, analyzing risk probability and impact, and communicating risk as an ongoing process for decision making.
Introduction to FAIR - Factor Analysis of Information RiskOsama Salah
FAIR (Factor Analysis of Information Risk) is a framework for measuring and analyzing information risk in a logical and quantitative way. It consists of (1) an ontology that defines the factors that contribute to risk and their relationships, (2) methods for measuring these factors, and (3) a computational model that calculates risk by simulating the relationships between measured factors. FAIR aims to provide an objective, evidence-based approach to risk analysis and avoid common pitfalls like inaccurate models, poor communication, and focus on worst-case scenarios. It measures factors like threat frequency, vulnerability, and loss magnitude on quantitative scales to determine overall risk.
Project risk analysis involves assessing risks and uncertainties that could threaten a project. It is a component of risk management. The key aspects of project risk analysis covered in the document are:
1) Identifying assets, threats, and vulnerabilities associated with a project.
2) Determining the likelihood and potential impact of identified risks.
3) Evaluating potential controls and their costs to mitigate risks.
Both quantitative and qualitative approaches can be used, with quantitative using numbers to assess risk impact and likelihood, while qualitative uses descriptive terms. The overall goal is to understand project risks and help decision makers determine appropriate risk responses.
Measuring DDoS Risk using FAIR (Factor Analysis of Information RiskTony Martin-Vegue
Slides from Tony Martin-Vegue presentation at FAIRcon, Charlotte, NC: October 14, 2016
"Measuring DDoS Risk with FAIR (Factor Analysis of Information Risk)"
This document provides an agenda for a crash course on managing cyber risk using quantitative analysis. It covers concepts like risk, uncertainty, and risk management approaches. It then discusses qualitative, semi-quantitative, and quantitative risk analysis methods. Monte Carlo simulation and PERT distributions are presented as tools for quantitative analysis. Exercises are provided to demonstrate applying these concepts, including estimating the risk associated with unencrypted laptops being lost or stolen.
Vendor Cybersecurity Governance: Scaling the riskSarah Clarke
An overview of the scale of the challenge and rational ways to cut that down to manageable and governable size. Slides compliment recent supplier security governance related posts on Infospectives.co.uk and LinkedIn.
The basis of decision making for software development started in the 1980's with the application of classical discounted cash flow analysis.
This paper speaks to the extension of those principles to the development of Agile software
Risk Based Security and Self Protection Powerpointrandalje86
Miguel Sanchez presented on risk based security and self protection technologies. He discussed how the threat landscape has changed and the need for a proactive, risk based approach. This involves a multi-tiered risk management process including framing risks at the organizational, mission, and system levels. Emerging technologies like runtime application self protection can help applications protect themselves by monitoring for threats during execution.
This document provides an overview of programmatic risk management. It discusses:
1. The importance of managing risk to cost, schedule, and technical performance for project success.
2. How single point estimates are not sufficient and statistical estimates are needed to build a credible cost and schedule model given the uncertainty inherent in projects.
3. The key aspects of risk management including identifying risk, analyzing risk probability and impact, and communicating risk as an ongoing process for decision making.
Introduction to FAIR - Factor Analysis of Information RiskOsama Salah
FAIR (Factor Analysis of Information Risk) is a framework for measuring and analyzing information risk in a logical and quantitative way. It consists of (1) an ontology that defines the factors that contribute to risk and their relationships, (2) methods for measuring these factors, and (3) a computational model that calculates risk by simulating the relationships between measured factors. FAIR aims to provide an objective, evidence-based approach to risk analysis and avoid common pitfalls like inaccurate models, poor communication, and focus on worst-case scenarios. It measures factors like threat frequency, vulnerability, and loss magnitude on quantitative scales to determine overall risk.
Project risk analysis involves assessing risks and uncertainties that could threaten a project. It is a component of risk management. The key aspects of project risk analysis covered in the document are:
1) Identifying assets, threats, and vulnerabilities associated with a project.
2) Determining the likelihood and potential impact of identified risks.
3) Evaluating potential controls and their costs to mitigate risks.
Both quantitative and qualitative approaches can be used, with quantitative using numbers to assess risk impact and likelihood, while qualitative uses descriptive terms. The overall goal is to understand project risks and help decision makers determine appropriate risk responses.
Measuring DDoS Risk using FAIR (Factor Analysis of Information RiskTony Martin-Vegue
Slides from Tony Martin-Vegue presentation at FAIRcon, Charlotte, NC: October 14, 2016
"Measuring DDoS Risk with FAIR (Factor Analysis of Information Risk)"
Agile project management and normativeGlen Alleman
Reform of the traditional approaches to managing software development projects is driven by several factors, not the least of which is some spectacular failures of soft-ware projects. Ranging from the IRS, to the FAA, to large e–commerce systems, we all have some “war story” of a major failure that can be traced to non–technical causes.
An introduction to the Open FAIR standard, a framework for analyzing and express risk in financial terms. This presentation was originally given at the Louisville Metro InfoSec Conference on 9/19/17.
The document discusses IT risk management frameworks and processes. It provides an overview of ISO 31000 for risk management, ISO 27005 for information security risk management, and the ITGI RiskIT framework. Key points covered include defining risk, the risk management process, quantifying and treating IT risks, and consolidating risks across an organization.
Its all about risk, risk analysis, method, pros and cons, important factors and stake holders.
Ignoring risk does not make the risk go way. So organizations and stake holders has to accept some certain degree of risk which we called it risk tolerance.
This document provides sample questions and answers that a Control Account Manager (CAM) could expect to encounter during an interview related to their Earned Value Management responsibilities. It includes background on topics like required training, the program organization structure, work authorization processes, performance measurement baseline planning, and earned value measurement. Sample questions are provided on each topic along with potential answers the CAM could provide to demonstrate their knowledge and management of their control accounts.
This document discusses risk management basics and processes. It defines key risk management terms like risk, uncertainty, and issue. It then outlines the six steps of the Association for Project Management's (APM) risk management process: initiate, identify, assess, plan responses, implement responses, and manage process. For each step, it provides brief explanations and examples of outputs, techniques, and potential pitfalls.
The document identifies 4 root causes of cost and schedule shortfalls in the ACAT1 program: 1) unrealistic estimates based on inadequate risk models, 2) inadequate assessment and mitigation of risks, 3) unanticipated technical issues without alternative solutions, and 4) unrealistic performance expectations without proper measures. It also notes that the IPMR process can help reveal early, unanticipated growth in cost and schedule through assessment of technical performance measures and percent completion.
This document discusses risk assessments and managing third-party risk. It provides an overview of Optiv, a security consulting firm, and their services including risk management, security operations, and security technology. It then covers topics like the evolution of the CISO role, enterprise risk management, assessing assets, threats, vulnerabilities, and controls. The document provides methods for evaluating risk like the risk equation and risk register. It also discusses managing risk from third parties and cloud providers through due diligence and risk tiers based on the relationship and inherent risks.
2020 11-15 marcin ludwiszewski - purple, red, blue and others - rainbow team...Marcin Ludwiszewski
Cybersecurity - Rainbow Teaming - what are the colour teams in cybersecurity, how purple differs from red teaming, what is white team and other colours ?
Adopting the Quadratic Mean Process to Quantify the Qualitative Risk AnalysisRicardo Viana Vargas
The objective of this paper is to propose a mathematical process to turn the results of a qualitative risk analysis into numeric indicators to support better decisions regarding risk response strategies.
Using a five-level scale for probability and a set of scales to measure different aspects of the impact and time horizon, a simple mathematical process is developed using the quadratic mean (also known as root mean square) to calculate the numerical exposition of the risk and consequently, the numerical exposition of the project risks.
This paper also supports the reduction of intuitive thinking when evaluating risks, often subject to illusions, which can cause perception errors. These predictable mental errors, such as overconfidence, confirmation traps, optimism bias, zero-risk bias, sunk-cost effect, and others often lead to the underestimation of costs and effort, poor resource planning, and other low-quality decisions (VIRINE, 2010).
Workshop project risk management (29 june 2012)bfriday
The document discusses project risk management tools used by Bronwyn Friday, the Group Manager of Risk at John Holland Group. It provides an overview of Bronwyn's background and experience in risk management. It then discusses tools and best practices for project risk management, including qualitative and quantitative risk assessment tools, risk registers, and risk identification methods like brainstorming workshops.
The 10-step document outlines a process for conducting a risk assessment of IT assets based on the CRAMM methodology without using expensive CRAMM software. The steps include: 1) defining the scope and team, 2) identifying and valuing assets, 3) assessing threats, vulnerabilities and risks, 4) selecting countermeasures, and 5) justifying expenditures to address highest risks. Following this process provides benefits like business-IT alignment on risks and cost-effective security improvements.
This presentation features the Risk Analysis Module of the Social Enterprise Learning Toolkit developed by Enterprising Non-Profits. The Toolkit offers a number of different learning modules and can be found on the enp website at www.enterprisingnonprofits.ca
This document outlines a 5-step process for improving an organization's incident response plan. Step 1 involves determining what constitutes an incident based on factors like asset criticality and impact. Step 2 is defining roles and responsibilities and ensuring the team is prepared. Step 3 is testing the plan through exercises to identify weaknesses. Step 4 focuses on improving communications plans. Step 5 is measuring the potential impact of incidents to understand recovery objectives. The overall goal is to create a well-defined, tested plan with the right people assigned to effectively respond to security incidents.
This document provides an introduction to data science concepts. It discusses the components of data science including statistics, visualization, data engineering, advanced computing, and machine learning. It also covers the advantages and disadvantages of data science, as well as common applications. Finally, it outlines the six phases of the data science process: framing the problem, collecting and processing data, exploring and analyzing data, communicating results, and measuring effectiveness.
Assignment You will conduct a systems analysis project by .docxfestockton
Assignment:
You will conduct a systems analysis project by performing 3 phases of SDLC (planning, analysis and
design) for a small (real or imaginary) organization. The actual project implementation is not
required. You need to apply what you have learned in the class and to participate in the team
project work.
Deliverables
This project should follow the main steps of the first three phases of the SDLC (phase 1, 2 and 3).
Details description and diagrams should be included in each phase.
1- Planning:
Should cover the following:
• Project Initiation: How will it lowers costs or increase revenues?
• Project management: the project manager creates a work plan, staffs the project, and puts
techniques in place to help the project team control and direct the project through the
entire SDLC.
2- Analysis
Should cover the following:
• Analysis strategy: This is developed to guide the projects team’s efforts. This includes an
analysis of the current system.
• Requirements gathering: The analysis of this information leads to the development of a
concept for a new system. This concept is used to build a set of analysis models.
• System proposal: The proposal is presented to the project sponsor and other key
individuals who decide whether the project should continue to move forward.
3- Design
Should cover the following:
• Design Strategy: This clarifies whether the system will be developed by the company or
outside the company.
• Architecture Design: This describes the hardware, software, and network infrastructure that
will be used.
• Database and File Specifications: These documents define what and where the data will be
stored.
• Program Design: Defines what programs need to be written and what they will do.
The Course Presentations can be downloaded from here:
https://seu2020.com/wp-content/uploads/2019/09/Slides-IT243-Seu2020.com_.zip
In addition to the above please include
Points to be covered:
• Project Plan
• Staff Plan
• Cost
• Who will develop it? Self or vendor
• Project Methodology: need to consider the below factors when choosing a methodology
Clarity of User Requirements, Familiarity with Technology, System Complexity, System
Reliability, Short Time Schedules and Schedule Visibility
• Project timeline and timeframe.
• Risk Management
• Gantt Chart
• Project Requirements: Functional and Non-Functional
• Activity-Based Costing
• Outcome Analysis
• Technology Analysis
https://seu2020.com/wp-content/uploads/2019/09/Slides-IT243-Seu2020.com_.zip
• Include use cases
• Include Processing Model
• Data flow diagrams
• Relationship among Levels of DFDs
• Using the ERD to Show Business Rules
Please consider the slides as a reference of what topics to be covered for this assignment which falls
under the (planning, analysis and design) only.
Special Publication 800-86
Guide to Integrating Forensic
Techniques into Inciden ...
Is your organization ready to respond to an incident? More specifically, do you have the people, process, and technology in place that is required to cope with today's threats?
This webinar will provide practical steps on how to assess your organization's risks, threats, and current capabilities through a methodical and proven approach. From there, it will detail the people, process, and technology considerations when standing up or revitalizing an incident response (IR) program.
Specifically it will cover the four pillars of a modern IR function:
- Identify what must be protected
- Scope potential breach impact to the organization
- Define IR management capabilities
- Determine likely threats and their potential impact
Our featured speakers for this webinar will be:
- Ted Julian, Chief Marketing Officer, Co3 Systems
- Richard White, Solutions Principal, HP
Vijay Mohire presented information on his planned contributions to Microsoft's ACE (Assessment, Consulting & Engineering) team. He outlined how he would assist with risk assessments, compliance checks, security consultations, engineering tasks, and program management. The presentation also provided an overview of Microsoft's information security practices, including its security stack, tools like Azure and Active Directory, and adherence to standards like NIST and PCI DSS.
This document describes Focal Point's cyber risk quantification services for insurance underwriting. It outlines a four-step roadmap for measuring an organization's cyber risk profile to inform insurance strategies. The first step leverages an organization's existing NIST Cybersecurity Framework assessment. The second step involves further evaluating cyber risks through an online self-assessment or deeper evaluation. The third step uses Monte Carlo modeling to measure potential cyber loss scenarios. The fourth step provides insights to define an appropriate risk strategy and optimize insurance coverage, limits, and deductibles. The document argues this approach helps organizations better understand cyber risks, prioritize mitigation options, and make informed decisions about cyber insurance.
Agile project management and normativeGlen Alleman
Reform of the traditional approaches to managing software development projects is driven by several factors, not the least of which is some spectacular failures of soft-ware projects. Ranging from the IRS, to the FAA, to large e–commerce systems, we all have some “war story” of a major failure that can be traced to non–technical causes.
An introduction to the Open FAIR standard, a framework for analyzing and express risk in financial terms. This presentation was originally given at the Louisville Metro InfoSec Conference on 9/19/17.
The document discusses IT risk management frameworks and processes. It provides an overview of ISO 31000 for risk management, ISO 27005 for information security risk management, and the ITGI RiskIT framework. Key points covered include defining risk, the risk management process, quantifying and treating IT risks, and consolidating risks across an organization.
Its all about risk, risk analysis, method, pros and cons, important factors and stake holders.
Ignoring risk does not make the risk go way. So organizations and stake holders has to accept some certain degree of risk which we called it risk tolerance.
This document provides sample questions and answers that a Control Account Manager (CAM) could expect to encounter during an interview related to their Earned Value Management responsibilities. It includes background on topics like required training, the program organization structure, work authorization processes, performance measurement baseline planning, and earned value measurement. Sample questions are provided on each topic along with potential answers the CAM could provide to demonstrate their knowledge and management of their control accounts.
This document discusses risk management basics and processes. It defines key risk management terms like risk, uncertainty, and issue. It then outlines the six steps of the Association for Project Management's (APM) risk management process: initiate, identify, assess, plan responses, implement responses, and manage process. For each step, it provides brief explanations and examples of outputs, techniques, and potential pitfalls.
The document identifies 4 root causes of cost and schedule shortfalls in the ACAT1 program: 1) unrealistic estimates based on inadequate risk models, 2) inadequate assessment and mitigation of risks, 3) unanticipated technical issues without alternative solutions, and 4) unrealistic performance expectations without proper measures. It also notes that the IPMR process can help reveal early, unanticipated growth in cost and schedule through assessment of technical performance measures and percent completion.
This document discusses risk assessments and managing third-party risk. It provides an overview of Optiv, a security consulting firm, and their services including risk management, security operations, and security technology. It then covers topics like the evolution of the CISO role, enterprise risk management, assessing assets, threats, vulnerabilities, and controls. The document provides methods for evaluating risk like the risk equation and risk register. It also discusses managing risk from third parties and cloud providers through due diligence and risk tiers based on the relationship and inherent risks.
2020 11-15 marcin ludwiszewski - purple, red, blue and others - rainbow team...Marcin Ludwiszewski
Cybersecurity - Rainbow Teaming - what are the colour teams in cybersecurity, how purple differs from red teaming, what is white team and other colours ?
Adopting the Quadratic Mean Process to Quantify the Qualitative Risk AnalysisRicardo Viana Vargas
The objective of this paper is to propose a mathematical process to turn the results of a qualitative risk analysis into numeric indicators to support better decisions regarding risk response strategies.
Using a five-level scale for probability and a set of scales to measure different aspects of the impact and time horizon, a simple mathematical process is developed using the quadratic mean (also known as root mean square) to calculate the numerical exposition of the risk and consequently, the numerical exposition of the project risks.
This paper also supports the reduction of intuitive thinking when evaluating risks, often subject to illusions, which can cause perception errors. These predictable mental errors, such as overconfidence, confirmation traps, optimism bias, zero-risk bias, sunk-cost effect, and others often lead to the underestimation of costs and effort, poor resource planning, and other low-quality decisions (VIRINE, 2010).
Workshop project risk management (29 june 2012)bfriday
The document discusses project risk management tools used by Bronwyn Friday, the Group Manager of Risk at John Holland Group. It provides an overview of Bronwyn's background and experience in risk management. It then discusses tools and best practices for project risk management, including qualitative and quantitative risk assessment tools, risk registers, and risk identification methods like brainstorming workshops.
The 10-step document outlines a process for conducting a risk assessment of IT assets based on the CRAMM methodology without using expensive CRAMM software. The steps include: 1) defining the scope and team, 2) identifying and valuing assets, 3) assessing threats, vulnerabilities and risks, 4) selecting countermeasures, and 5) justifying expenditures to address highest risks. Following this process provides benefits like business-IT alignment on risks and cost-effective security improvements.
This presentation features the Risk Analysis Module of the Social Enterprise Learning Toolkit developed by Enterprising Non-Profits. The Toolkit offers a number of different learning modules and can be found on the enp website at www.enterprisingnonprofits.ca
This document outlines a 5-step process for improving an organization's incident response plan. Step 1 involves determining what constitutes an incident based on factors like asset criticality and impact. Step 2 is defining roles and responsibilities and ensuring the team is prepared. Step 3 is testing the plan through exercises to identify weaknesses. Step 4 focuses on improving communications plans. Step 5 is measuring the potential impact of incidents to understand recovery objectives. The overall goal is to create a well-defined, tested plan with the right people assigned to effectively respond to security incidents.
This document provides an introduction to data science concepts. It discusses the components of data science including statistics, visualization, data engineering, advanced computing, and machine learning. It also covers the advantages and disadvantages of data science, as well as common applications. Finally, it outlines the six phases of the data science process: framing the problem, collecting and processing data, exploring and analyzing data, communicating results, and measuring effectiveness.
Assignment You will conduct a systems analysis project by .docxfestockton
Assignment:
You will conduct a systems analysis project by performing 3 phases of SDLC (planning, analysis and
design) for a small (real or imaginary) organization. The actual project implementation is not
required. You need to apply what you have learned in the class and to participate in the team
project work.
Deliverables
This project should follow the main steps of the first three phases of the SDLC (phase 1, 2 and 3).
Details description and diagrams should be included in each phase.
1- Planning:
Should cover the following:
• Project Initiation: How will it lowers costs or increase revenues?
• Project management: the project manager creates a work plan, staffs the project, and puts
techniques in place to help the project team control and direct the project through the
entire SDLC.
2- Analysis
Should cover the following:
• Analysis strategy: This is developed to guide the projects team’s efforts. This includes an
analysis of the current system.
• Requirements gathering: The analysis of this information leads to the development of a
concept for a new system. This concept is used to build a set of analysis models.
• System proposal: The proposal is presented to the project sponsor and other key
individuals who decide whether the project should continue to move forward.
3- Design
Should cover the following:
• Design Strategy: This clarifies whether the system will be developed by the company or
outside the company.
• Architecture Design: This describes the hardware, software, and network infrastructure that
will be used.
• Database and File Specifications: These documents define what and where the data will be
stored.
• Program Design: Defines what programs need to be written and what they will do.
The Course Presentations can be downloaded from here:
https://seu2020.com/wp-content/uploads/2019/09/Slides-IT243-Seu2020.com_.zip
In addition to the above please include
Points to be covered:
• Project Plan
• Staff Plan
• Cost
• Who will develop it? Self or vendor
• Project Methodology: need to consider the below factors when choosing a methodology
Clarity of User Requirements, Familiarity with Technology, System Complexity, System
Reliability, Short Time Schedules and Schedule Visibility
• Project timeline and timeframe.
• Risk Management
• Gantt Chart
• Project Requirements: Functional and Non-Functional
• Activity-Based Costing
• Outcome Analysis
• Technology Analysis
https://seu2020.com/wp-content/uploads/2019/09/Slides-IT243-Seu2020.com_.zip
• Include use cases
• Include Processing Model
• Data flow diagrams
• Relationship among Levels of DFDs
• Using the ERD to Show Business Rules
Please consider the slides as a reference of what topics to be covered for this assignment which falls
under the (planning, analysis and design) only.
Special Publication 800-86
Guide to Integrating Forensic
Techniques into Inciden ...
Is your organization ready to respond to an incident? More specifically, do you have the people, process, and technology in place that is required to cope with today's threats?
This webinar will provide practical steps on how to assess your organization's risks, threats, and current capabilities through a methodical and proven approach. From there, it will detail the people, process, and technology considerations when standing up or revitalizing an incident response (IR) program.
Specifically it will cover the four pillars of a modern IR function:
- Identify what must be protected
- Scope potential breach impact to the organization
- Define IR management capabilities
- Determine likely threats and their potential impact
Our featured speakers for this webinar will be:
- Ted Julian, Chief Marketing Officer, Co3 Systems
- Richard White, Solutions Principal, HP
Vijay Mohire presented information on his planned contributions to Microsoft's ACE (Assessment, Consulting & Engineering) team. He outlined how he would assist with risk assessments, compliance checks, security consultations, engineering tasks, and program management. The presentation also provided an overview of Microsoft's information security practices, including its security stack, tools like Azure and Active Directory, and adherence to standards like NIST and PCI DSS.
This document describes Focal Point's cyber risk quantification services for insurance underwriting. It outlines a four-step roadmap for measuring an organization's cyber risk profile to inform insurance strategies. The first step leverages an organization's existing NIST Cybersecurity Framework assessment. The second step involves further evaluating cyber risks through an online self-assessment or deeper evaluation. The third step uses Monte Carlo modeling to measure potential cyber loss scenarios. The fourth step provides insights to define an appropriate risk strategy and optimize insurance coverage, limits, and deductibles. The document argues this approach helps organizations better understand cyber risks, prioritize mitigation options, and make informed decisions about cyber insurance.
The document provides guidelines for slides on cyber security topics. It includes sections on framing cyber security using the NIST framework, doing a deep dive on the NIST CSF, populating a NIST scorecard, mapping security stakeholders and describing successes, presenting operational metrics from security technologies and the security team, and including a risk metric dashboard. The agenda covers cyber security strategy, the NIST CSF scorecard, governance, operational metrics on defense, and a risk matrix dashboard.
2017 Q1 Arcticcon - Meet Up - Adventures in Adversarial EmulationScott Sutherland
This presentation provides an overview off common adversarial emulation approaches along with attack and detection trends. It should be interesting to penetration testers and professionals in security operations roles.
The document discusses the NIST Cybersecurity Framework (CSF) and its relevance for K-12 cybersecurity. It outlines the five key functions of the CSF - Identify, Protect, Detect, Respond, and Recover. For each function, it provides examples of outcomes and lists the top 3 tasks recommended for a K-12 perspective. It emphasizes establishing asset management, risk assessments, security controls, monitoring, response plans, and recovery procedures. The document directs readers to resources for further understanding and applying the CSF for improving essential cyber protections in K-12 environments.
Adding Analytics to your Cybersecurity Toolkit with CompTIA Cybersecurity Ana...CompTIA
In this document:
- Adding Analytics to your Cybersecurity Toolkit with CompTIA Cybersecurity Analyst (CSA+)
- Measuring CompTIA CSA+ Difficulty
- Why Hybrid Testing Approaches Work Best
- Mapping the NICE Cybersecurity Workforce Framework
Managing & Showing Value during Red Team Engagements & Purple Team Exercises ...Jorge Orchilles
Join Jorge Orchilles and Phil Wainwright as they cover how to show value during Red and Purple Team exercises with a free platform, VECTR. VECTR is included in SANS Slingshot C2 Matrix Edition so you can follow along the presentation and live demos.
VECTR is a free platform for planning and tracking of your red and purple team exercises and alignment to blue team detection and prevention capabilities across different attack scenarios. VECTR provides the ability to create assessment groups, which consist of a collection of Campaigns and supporting Test Cases to simulate adversary threats. Campaigns can be broad and span activity across the kill chain or ATT&CK tactics, from initial access to privilege escalation and lateral movement and so on, or can be a narrow in scope to focus on specific defensive controls, tools, and infrastructure. VECTR is designed to promote full transparency between offense and defense, encourage training between team members, and improve detection, prevention & response capabilities across cloud and on-premise environments.
Common use cases for VECTR are measuring your defenses over time against the MITRE ATT&CK framework, creating custom red team scenarios and adversary emulation plans, and assisting with toolset evaluations. VECTR is meant to be used over time with targeted campaigns, iteration, and measurable enhancements to both red team skills and blue team detection capabilities. Ultimately the goal of VECTR is to help organizations level up and promote a platform that encourages community sharing of CTI that is useful for red teamers, blue teamers, threat intel teams, security engineering, any number of other cyber roles, and helps management show increasing maturity in their programs and justification of whats working, whats not, and where additional investment might be needed in tools and team members to bring it all together.
This lecture includes detail about ethical hacking profession, there jobs description, responsibilities duties and skills required to excel in their field.
Embark on a journey to exam excellence with our comprehensive guide to SY0-701 Dumps for CompTIA Security+. Dive into the intricacies of the SY0-701 exam with meticulously crafted Security+ Dumps designed to simulate the real exam environment. Elevate your preparation, boost confidence, and ensure success on exam day. Join a community of achievers who have trusted our SY0-701 Dumps for a proven pathway to mastering the CompTIA Security+ certification. Uncover the key insights and strategies essential for acing the SY0-701 exam. Your success begins with the right preparation – explore our Security+ Dumps and pave the way for a successful career in cybersecurity.
Threat intelligence life cycle steps by stepsJayeshGadhave1
The document describes the threat intelligence lifecycle process, which consists of 6 steps: direction, collection, processing, analysis, dissemination, and feedback. It provides details on the activities involved in each step, including determining intelligence needs, gathering information from various sources, processing raw data, analyzing the data to create useful intelligence, distributing the intelligence to relevant teams, and getting feedback to continually improve the process. The lifecycle aims to help security teams better understand threats and generate actionable intelligence to strengthen defenses.
Step by-step for risk analysis and management-yaser aljohaniYaser Alrefai
Risk analysis and management is important for Digital Zone Corporation to secure their systems and customer information. They collect personal information from customers and need to identify vulnerabilities, threats, and risks. The analysis includes evaluating assets, finding vulnerabilities, conducting a risk assessment, and establishing security policies. It also provides recommendations for managing risks, such as creating an information risk management policy, security awareness training, and contingency plans. Regular risk analysis helps Digital Zone Corporation improve security and maintain customer trust.
Step by-step for risk analysis and management-yaser aljohaniyaseraljohani
Risk analysis and management helps organizations improve security and protect sensitive information. The document outlines steps taken to analyze risks at Digital Zone Corporation, an IT services company. It identifies assets, threats, vulnerabilities, and recommends security policies, employee training, and contingency plans to reduce risks like data breaches or system failures. Assessment tools evaluated networks and hosts, finding vulnerabilities to inform countermeasures that lower overall organizational risk.
Practical Measures for Measuring SecurityChris Mullins
Security is often a frustrating field for business and IT decision makers. It can be difficult to quantify, difficult to get visibility, and it’s difficult to know when you have “enough”. Do you really need that latest threat feed subscription or state of the art malware protection device? Do you need to add another security analyst to your team? And if so, how can you understand, in business terms, the value these investments bring to the business? This session will explore practical methods for the application of metrics in security to support business decision making, and provide a framework to implement straightforward security metrics, whether inside your wall or at a service provider.
Link to Youtube video: https://youtu.be/OJMqMWnxlT8
You can contact me at abhimanyu.bhogwan@gmail.com
My linkdin id : https://www.linkedin.com/in/abhimanyu-bhogwan-cissp-ctprp-98978437/
Threat Modeling(system+ enterprise)
What is Threat Modeling?
Why do we need Threat Modeling?
6 Most Common Threat Modeling Misconceptions
Threat Modelling Overview
6 important components of a DevSecOps approach
DevSecOps Security Best Practices
Threat Modeling Approaches
Threat Modeling Methodologies for IT Purposes
STRIDE
Threat Modelling Detailed Flow
System Characterization
Create an Architecture Overview
Decomposing your Application
Decomposing DFD’s and Threat-Element Relationship
Identify possible attack scenarios mapped to S.T.R.I.D.E. model
Identifying Security Controls
Identify possible threats
Report to Developers and Security team
DREAD Scoring
My Opinion on implementing Threat Modeling at enterprise level
The document discusses various planning and decision aids including knowledge management, forecasting techniques, fostering creativity, and brainstorming. It provides details on the components and goals of knowledge management, as well as how it can be used to create value for organizations. Forecasting aids that are described include the Delphi technique, simulation, and scenario forecasting. The creative process and Osborn's creativity model involving preparation, concentration, incubation, illumination, and verification stages are also outlined.
HijackLoader Evolution: Interactive Process HollowingDonato Onofri
CrowdStrike researchers have identified a HijackLoader (aka IDAT Loader) sample that employs sophisticated evasion techniques to enhance the complexity of the threat. HijackLoader, an increasingly popular tool among adversaries for deploying additional payloads and tooling, continues to evolve as its developers experiment and enhance its capabilities.
In their analysis of a recent HijackLoader sample, CrowdStrike researchers discovered new techniques designed to increase the defense evasion capabilities of the loader. The malware developer used a standard process hollowing technique coupled with an additional trigger that was activated by the parent process writing to a pipe. This new approach, called "Interactive Process Hollowing", has the potential to make defense evasion stealthier.
Honeypots Unveiled: Proactive Defense Tactics for Cyber Security, Phoenix Sum...APNIC
Adli Wahid, Senior Internet Security Specialist at APNIC, delivered a presentation titled 'Honeypots Unveiled: Proactive Defense Tactics for Cyber Security' at the Phoenix Summit held in Dhaka, Bangladesh from 23 to 24 May 2024.
Securing BGP: Operational Strategies and Best Practices for Network Defenders...APNIC
Md. Zobair Khan,
Network Analyst and Technical Trainer at APNIC, presented 'Securing BGP: Operational Strategies and Best Practices for Network Defenders' at the Phoenix Summit held in Dhaka, Bangladesh from 23 to 24 May 2024.
4. Influence another to behave in a way that gives the deceiver an
advantage, creating a causal relationship between psychological
state and physical behaviour
Denial: prevents target from gaining information & stimuli
Deception: provides misleading information & stimuli
5. 2D
framework
1st dimension
Relates to information
(fact or fiction)
2nd dimension
Relates to actions
or behaviours
(revealing or concealing)
D&D Techniques
6. TABLE 1. D&D methods matrix.
Deception
objects
Deception: Mislead (M)- type methods
Revealing
Denial: Ambiguity (A)- type methods
Concealing
Facts
Reveal facts: Nonessential elements of
friendly information
• Reveal true information to the target
• Reveal true physical entities, events, or
processes to the target
Conceal facts (dissimulation): Essential
elements of friendly information
• Conceal true information from the target
• Conceal true physical entities, events, or
processes from the target
Fiction Reveal fiction (simulation): Essential
elements of deception information
• Reveal false information to the target
• Reveal false physical entities, events, or
processes to the target
Conceal fiction: Nondisclosable deception
information
• Conceal false information from the target
• Conceal false physical entities, events, or
processes from the target
7.
8. Denial
prevent detection of essential elements of
friendly information (EEFI) -> hiding
what’s real
hide the false information ->
the nondisclosable deception information
(NDDI) -> protect the D&D plan
10. Deception
induce misperception -> using the essential
elements of deception information (EEDI) ->
show what’s false
show the real information ->
nonessential elements of friendly information (NEFI) ->
enhance the D&D cover story
15. Helps enterprise managers define strategic,
operational, or tactical goal i.e., the purpose of
the deception and the criteria that would
indicate the deception’s success
Purpose
17. C llect Intelligence
the adversary might interpret it?
the adversary might react to it?
to monitor adversary’s behavior?
HOW
18. C llect Intelligence
Source of Intelligence:
framework that combines all the
related information about a
particular intrusion into a set of
activities.
Intrusion Campaign
Analysis
19. C llect Intelligence
Source of Intelligence:
might involve government, private
industry, or non-profit organizations.
Threat-Sharing
Partnerships
20. Design Cover Story
Cover Story is what the defender wants
the adversary to perceive and believe.
21. Design Cover Story
The D&D planner considers
• critical components of the operation
• assess the adversary’s observation and
analysis capabilities
• develop a convincing story that “explains”
the operation’s components observable to
the adversary
25. Planning
WHY DENIAL TACTICS?
D&D planners analyse characteristics of real events
& activities that must be hidden to support
deception cover story, identify corresponding
signatures that would be observed by adversary,
and plan to use denial tactics to hide signatures
from adversary.
28. Planning
WHY DECEPTION TACTICS?
D&D planners analyse characteristics of notional events
& activities that must be portrayed and observed to
support cover story, identify corresponding signatures
the adversary would observe, and plan to use deception
tactics to mislead the adversary.
30. Planning
D&D planners turn the matrix cell
information into operational
activities that reveal or conceal the
key information conveying the
cover story.
31. Preparation
D&D planners design the desired effect of the deception
operation and explore the available means and resources
to create the effect on the adversary.
Thus coordinates with security operations on timing for
developing the notional and real equipment, staffing,
training, and other preparations to support the deception
cover story
32. Execute
If the deception and real operational preparations
can be synchronized and supported -> then D&D
planners and security operations must coordinate
and control all relevant preparations to execute
deception cover story
33. Monitor
Monitors
• Both friendly & adversary operational
preparations
• Carefully watching the observation channels
and sources selected to convey the deception
to the adversary
• Adversary’s reaction to the performance,” i.e.,
the cover story execution.
34. Reinforce
At times, the D&D planners may need to reinforce
the cover story through additional deceptions, or to
convey the deception operation to the adversary
through other channels or sources.
The planners may have to revisit the fist phase of the
deception chain, execute a backup deception, or plan
another operation
35. MALICIOUS ACTORS FOLLOW A COMMON MODEL OF BEHAVIOR TO
COMPROMISE VALUABLE INFORMATION IN A TARGET NETWORK.
36. CYBER KILL CHAIN
Attackers generally employ a
cyber attack strategy, divided into
the six phases described below,
called the cyber kill chain or kill
chain.
38. CYBER KILL CHAIN &
DECEPTION CHAIN
• Unlike cyber kill chain, deception chain is not
always linear
• Progression through the phases can be
recursive or disjoint
• The deception chain is also applicable at each
phase of the cyber kill chain
39. CYBER D&D MATURITY MODEL
Provides a blueprint that organizations
can use to assess, measure, and increase
maturity of their current cyber D&D
operations and develop specific cyber
D&D innovations
40. CYBER D&D MATURITY MODEL
• Must function in concert with the organization’s overall
defensive operations and must support cyber defense
• Represents the overall approach to managing cyber D&D
capabilities and operations from the perspectives of capability
and operations and services
41. • Tools
• Threat data
• Shared repositories
• Metrics databases
• Fine-tune deployments
• Monitor observables
• Collect field reports
• Collect metrics
• Outcome analysis
• D&D improvements
• Feedback to planning
Increasing maturity
of cyber D&D
people, processes,
and techniques
Plan
Revise plan for
next iteration
Post-
deployment
analysis
Deploy
and
execute
Prototype
1
Prototype
2
Prototype
3
Implement
• Establish D&D goals
• Training curricula
• Cyber D&D TTTPs
• Best practices and
standards
• Cyber D&D
metrics
Spiral D&D Life-Cycle Management Process
42. Spiral D&D Life-Cycle Management Process
Helps an organization
assess risks &
effectiveness with each
iteration of the spiral
while promoting agile
and rapid prototyping
as well as tuning of
D&D techniques and
services based on
observed outcomes
43. Spiral D&D Life-Cycle Management Process
incorporate cyber D&D into active cyber defense
• establishing clear and achievable program goals
• The planning phase should include
• establishing D&D program goals
• developing
• training curricula
• cyber D&D TTTPs
• cyber D&D best practices and standards
• cyber D&D metrics
44. Spiral D&D Life-Cycle Management Process
• In the implementation phase, the organization will start to plan based
on the goals and actions from the previous phase. The plan must address
both the “what” and the “how.”
• organization must deploy and execute cyber D&D TTTPs, services, and
supporting processes in a target environment such as a honeynetwork or a
honeypot, the real cyber infrastructure, or
some combination
• At each iteration, the organization must evaluate the risks and
effectiveness of the current prototype
45. Spiral D&D Life-Cycle Management Process
• Post-deployment analysis, the last phase
in the spiral, has 3 essential
elements:
• Outcome analysis
• Process improvements
• Feedback.
• Outcome analysis centers on the overall
outcome of the current spiral, addressing
questions such as:
› How effective were the cyber
D&D techniques developed and
operationally deployed?
› What were the successes and
failures?
› How well did the
organization
manage the total life-cycle
costs
within the spiral?
46. To answer these questions…
• Organization must analyse metrics data and file reports,
using the results to formulate specific D&D improvements
in processes, services, and technologies.
• Requires careful attention to managing change for all of
the D&D elements.
48. 2D
framework
1st dimension
Relates to information
(fact or fiction)
2nd dimension
Relates to actions
or behaviours
(revealing or concealing)
D&D TechniquesResearch & Technology Challenges
Purpose & Collect Intelligence Stages
• Models for strategic D&D objectives can be built
from both offensive and defensive perspectives
• Game-theory models could help analyse moves and
countermoves to produce promising TTTPs for cyber
D&D.
49. Research & Technology Challenges
Cover Story Stage
• it is important to create believable deception material
to attract the adversary’s interest
• Network and host-based deception material such as
honeypots, crafted documents, and email are referred
to as honeytokens
50. Research & Technology Challenges
Plan Stage
• What moves has the adversary made?
• To what extent do these moves signal the adversary’s
intentions?
• Which baits have worked well, or not?
• What is the adversary’s sphere of interest?
51. 2D
framework
1st dimension
Relates to information
(fact or fiction)
2nd dimension
Relates to actions
or behaviours
(revealing or concealing)
D&D TechniquesResearch & Technology Challenges
Preparing & Executing Stage
• can be made more scalable and efficient by leveraging
existing tools and training materials.
• A standalone “honeypot in a box” product might be
developed to adapt to an organization’s network structure
with a truncated setup time.
• Novel ways of training personnel in cyber D&D technology
are also important, such as simulated intrusions and
response
52. Research & Technology Challenges
Monitoring Stage
• Tracking honeytoken files is helpful in the monitoring
stage, and can involve watermarking to alert defenders
to an intruder
53. Research & Technology Challenges
Reinforce Stage
• Technical and operational metrics are needed to continuously
improve cyber D&D operations
• These measure the precision and believability of honeytokens in
that they attract the intended target and are readily mistaken as
real.
54. Conclusion
Cyber D&D should be part of the national cyber
strategy…
The national center of gravity program must
facilitate a strategic “working group” to begin
developing national cyber D&D plans, formulate US
government policies, create programs, and establish
goals and objectives within the strategy.