logoAiPathly

Senior Security Researcher Adversary Emulation

first image

Overview

Adversary emulation is a sophisticated cybersecurity approach that simulates real-world cyber threats to enhance an organization's security defenses. This method involves replicating the tactics, techniques, and procedures (TTPs) of specific threat actors to assess and improve an organization's security posture. Key aspects of adversary emulation include:

  1. Threat Actor Profiling: Identify and study relevant threat actors' behaviors and objectives.
  2. Scenario Development: Create realistic attack scenarios based on identified TTPs.
  3. Planning: Develop a detailed plan outlining attack steps, timelines, and resources.
  4. Execution: Implement planned attack scenarios, including initial compromise, lateral movement, and data exfiltration.
  5. Detection Evasion: Simulate techniques to bypass security controls and monitoring systems.
  6. Analysis and Reporting: Evaluate results and provide recommendations for security improvements. Benefits of adversary emulation:
  • Realistic attack simulation
  • Comprehensive security assessment
  • Improved incident response capabilities
  • Enhanced threat detection
  • Strengthened security culture Adversary emulation differs from adversary simulation in its focus on replicating specific known threat actors' TTPs, while simulation provides a broader approach to exposing vulnerabilities. Tools and frameworks, such as MITRE ATT&CK, are often used to model adversary behavior and execute emulation engagements systematically. By incorporating adversary emulation into their cybersecurity strategies, organizations can significantly enhance their ability to anticipate, detect, and respond to real-world cyber threats.

Core Responsibilities

A Senior Security Researcher specializing in adversary emulation is responsible for:

  1. Conducting Emulation Exercises:
  • Simulate real-world attack scenarios
  • Emulate tactics, techniques, and procedures (TTPs) of identified threat actors
  • Create and execute realistic attack scenarios
  1. Threat Actor Profiling and Scenario Development:
  • Study behaviors, motivations, and objectives of specific threat actors
  • Develop scenarios aligned with actual threats facing the organization
  1. Execution of Emulation:
  • Simulate attacks within the organization's environment
  • Test effectiveness of security defenses
  • Use covert attack methods to challenge existing countermeasures
  1. Analysis and Reporting:
  • Identify strengths, weaknesses, and areas for improvement
  • Train defenders to recognize indicators of compromise
  • Provide actionable insights for enhancing security posture
  1. Collaboration and Implementation:
  • Work with R&D, engineering, and data science teams
  • Develop and implement security improvements based on research findings
  • Design sensors and implement detection logics
  1. Tool Development and Proof-of-Concepts:
  • Create custom tools and frameworks for security testing
  • Develop proof-of-concepts to demonstrate potential risks
  1. Presentation and Contribution:
  • Present research findings internally and externally
  • Contribute to the broader security community through publications
  • Foster a culture of continuous improvement within the security team By fulfilling these responsibilities, a Senior Security Researcher plays a crucial role in enhancing an organization's cybersecurity capabilities and providing a comprehensive assessment of its security posture.

Requirements

To excel as a Senior Security Researcher in adversary emulation, candidates should possess the following qualifications and skills: Educational Background:

  • Degree in Cybersecurity, Computer Science, or related field Experience:
  • 8-10+ years in information security
  • Focus on threat detection, incident response, and adversary simulation Technical Skills:
  1. Programming and Scripting:
    • Proficiency in Python, C#, C/C++, GoLang
    • Experience with PowerShell, BASH
  2. Web and Network Technologies:
    • Deep knowledge of HTTP, REST APIs, HTML, JavaScript
    • Strong understanding of networking concepts and tools
  3. Security Tools and Frameworks:
    • Hands-on experience with CobaltStrike, Mythic, Evilginx, Outflank C2
    • Familiarity with MITRE ATT&CK framework
  4. Infrastructure Automation:
    • Proficiency in Terraform, Ansible, CloudFormation
  5. SIEM and EDR Platforms:
    • Strong understanding of Splunk, SumoLogic, CrowdStrike Falcon EDR/LogScale Adversary Emulation Specific Skills:
  • Threat modeling and TTP analysis
  • Reconnaissance and planning
  • Execution and post-exploitation techniques Analytical and Leadership Skills:
  • Proven analytical leadership
  • Strong problem-solving and troubleshooting abilities
  • Excellent communication and presentation skills Additional Requirements:
  • Cloud and SaaS platform experience, particularly in IAM and security features
  • Incident response experience
  • Research and publication experience By combining these skills and experiences, a Senior Security Researcher can effectively conduct adversary emulation, enhance security controls, and contribute to the broader security community.

Career Development

As a Senior Security Researcher focusing on adversary emulation, your career development involves continuous learning and specialization. Here are key areas to focus on:

Skills and Responsibilities

  • Conduct adversary emulation activities using frameworks like MITRE ATT&CK
  • Develop proficiency in scripting languages (Python, C, C++) and security tools (NMAP, Burp Suite, Kali Linux)
  • Gain experience in red teaming, penetration testing, and vulnerability research

Education and Certifications

  • Bachelor's or Master's degree in Computer Science, Information Security, or related field
  • Advanced certifications: Certified Ethical Hacker (CEH), Offensive Security Certified Professional (OSCP), ATT&CK Adversary Emulation Methodology Certification

Career Progression

  1. Transitioning Roles:
    • Cyber Threat Emulation & Analyst
    • Red Team Operator
    • Senior Offensive Security Engineer
  2. Advanced Positions:
    • Principal Security Engineer
    • Chief Information Security Officer (CISO)

Professional Development

  • Obtain the ATT&CK Adversary Emulation Methodology Certification
  • Engage in real-world adversary emulation exercises
  • Collaborate with other researchers and security professionals
  • Participate in industry conferences and publish research findings

Tools and Technologies

Master tools commonly used in adversary emulation:

  • C2 frameworks: Cobalt Strike, Sliver, Mythic
  • Security tools: NMAP, Burp Suite, Kali Linux
  • EDR systems By focusing on these areas, you can effectively advance your career in adversary emulation and significantly contribute to your organization's cybersecurity posture.

second image

Market Demand

The demand for Senior Security Researchers, especially those specializing in adversary emulation, is expected to grow significantly in the coming years. Key factors driving this demand include:

Increasing Cyber Threats and Complexity

  • Rise of generative AI and cloud technologies
  • Need for experts who can simulate and prepare for various cyber attack scenarios

Emphasis on Adversary Emulation

  • Growing adoption of threat-informed defense strategies
  • Democratization of adversary emulation practices

Persistent Skills Gap

  • Ongoing shortage of qualified cybersecurity practitioners
  • High demand for professionals with specialized skills in adversary emulation and advanced threat analysis

Geopolitical and AI-Driven Threats

  • Increase in state-aligned cyber espionage operations and hacktivism
  • Need for robust security measures and advanced threat intelligence
  • Growing focus on cloud security, SaaS, and on-premises technologies
  • Demand for professionals who can handle complex security challenges across various platforms The market outlook for Senior Security Researchers with expertise in adversary emulation remains strong, driven by the evolving cybersecurity landscape and the critical need for advanced threat mitigation strategies.

Salary Ranges (US Market, 2024)

Senior Security Researchers, particularly those specializing in adversary emulation, can expect competitive compensation packages. Here's an overview of salary ranges based on current market data:

Average Annual Compensation

  • General Security Researcher: $172,000 (range: $154,000 - $257,000)
  • Senior Security Researcher: $200,000 - $250,000 (including base salary, stocks, and bonuses)

Experience-Based Compensation

  • Senior Security Researcher (10+ years experience):
    • Base Salary: $176,000
    • Stocks: $74,000
    • Bonus: $11,000
    • Total: Approximately $261,000

Top Percentiles

  • Top 10%: Over $226,000 per year
  • Top 1%: Over $257,000 per year

Factors Affecting Salary

  1. Location: Higher salaries in tech hubs like San Jose or Los Angeles
  2. Industry: Technology and finance sectors typically offer higher compensation
  3. Expertise: Specialization in advanced areas like adversary emulation can command premium salaries
  4. Company Size: Larger companies often offer more competitive packages

Additional Benefits

  • Stock options
  • Performance bonuses
  • Professional development allowances
  • Flexible work arrangements Note: These figures are approximations and can vary based on individual circumstances, company policies, and market conditions. Always research current data and consider the total compensation package when evaluating job offers.

The field of adversary emulation is rapidly evolving, with several key trends shaping its future:

  1. Increased Adoption: By 2025, 70% of large enterprises are expected to incorporate adversary emulation into their red teaming efforts, up from 30% in 2020.
  2. AI and Automation Integration: Advanced platforms are emerging that automate security control validation and provide tools for large-scale emulations.
  3. Enhanced Threat Detection: Regular adversary emulation exercises are significantly improving organizations' threat detection and response times.
  4. AI, Data, and Platform Convergence: The industry is moving towards more transparent AI models and unified security platforms that can adapt to evolving threats.
  5. Quantum-Resistant Cryptography: Organizations are beginning to explore and implement quantum-safe encryption methods to prepare for future threats.
  6. Edge Security Focus: With the increasing sophistication of threats, edge security is becoming a core focus for many organizations.
  7. Democratization of Adversary Emulation: Efforts are being made to make adversary emulation more accessible and easier to implement for a wider range of organizations. These trends highlight the critical role that adversary emulation will play in enhancing organizational security postures in the coming years, requiring security professionals to continuously adapt and expand their skills.

Essential Soft Skills

While technical expertise is crucial, senior security researchers specializing in adversary emulation also need to develop key soft skills:

  1. Communication: Ability to articulate complex technical issues to both technical and non-technical stakeholders.
  2. Problem-Solving: Analytical thinking and creativity to address complex attack scenarios and develop practical solutions.
  3. Teamwork: Collaboration skills to work effectively with various teams and stakeholders.
  4. Leadership: Capability to inspire confidence, influence others, and drive organizational change.
  5. Adaptability: Flexibility to adjust strategies based on the evolving threat landscape.
  6. Emotional Intelligence: Managing stress and understanding team dynamics in high-pressure situations.
  7. Critical Thinking: Evaluating TTPs of threat actors and analyzing the effectiveness of security measures.
  8. Ethical Judgment and Risk Management: Making ethical decisions and managing risks within established rules of engagement. Mastering these soft skills enables senior security researchers to lead effective adversary emulation exercises, enhance organizational security, and foster a culture of resilience and innovation.

Best Practices

Implementing effective adversary emulation requires adherence to several best practices:

  1. Threat Actor Profiling: Identify and study relevant threat actors using public reports and the MITRE ATT&CK framework.
  2. Realistic Scenario Development: Create attack scenarios based on actual TTPs of identified threat actors.
  3. Comprehensive Simulation: Execute scenarios across multiple attack vectors to test security defenses thoroughly.
  4. Thorough Analysis and Reporting: Evaluate results to identify strengths, weaknesses, and areas for improvement in the organization's security posture.
  5. MITRE ATT&CK Alignment: Ensure emulation exercises align with this framework for realistic threat simulation.
  6. Customization and Threat Intelligence: Tailor scenarios to your organization's specific threat landscape.
  7. Automation and Tool Utilization: Consider using Breach and Attack Simulation (BAS) tools for efficient, scalable emulations.
  8. Continuous Training and Improvement: Regularly update the security team's skills and knowledge of the latest adversary TTPs.
  9. Cross-functional Collaboration: Work with various teams to stay updated on emerging threats and best practices. By following these practices, organizations can significantly enhance their ability to identify vulnerabilities, strengthen security controls, and improve overall security posture.

Common Challenges

Senior security researchers engaged in adversary emulation face several key challenges:

  1. Detecting Sophisticated Attacks: Keeping pace with evolving adversary tactics, techniques, and procedures (TTPs) to detect advanced threats promptly.
  2. Ineffective Security Controls: Ensuring existing security measures align with and can counter current real-world adversary strategies.
  3. Identifying Security Gaps: Uncovering and addressing vulnerabilities that could enable lateral movement across networks.
  4. Realistic Threat Simulation: Creating scenarios that accurately mirror real threat actors' tactics, which requires extensive intelligence and understanding.
  5. Comprehensive Vulnerability Assessment: Conducting thorough examinations of organizational systems to identify deep-seated weaknesses.
  6. Balancing Rules of Engagement: Establishing and adhering to guidelines that allow effective emulation without risking organizational assets.
  7. Keeping Current: Continuously updating knowledge and skills to match the rapid pace of cyber threat evolution.
  8. Resource Constraints: Managing the time and expertise required for in-depth, realistic emulations within organizational limitations.
  9. Measuring Effectiveness: Developing metrics to quantify the impact and success of adversary emulation exercises. Addressing these challenges is crucial for conducting effective adversary emulation exercises and enhancing an organization's overall cybersecurity posture.

More Careers

Director of Engineering AI

Director of Engineering AI

The role of a Director of Engineering AI is a senior leadership position that combines strategic, technical, and managerial responsibilities to drive the development and implementation of artificial intelligence (AI) and machine learning (ML) solutions within an organization. This critical role involves: - **Strategic Leadership**: Developing and executing AI strategies aligned with broader business objectives, setting clear goals, and making strategic decisions to drive growth through AI and ML solutions. - **Technical Leadership**: Providing guidance across engineering teams, architecting scalable solutions, overseeing model training and optimization, and ensuring best practices in AI/ML are followed. - **Team Management**: Leading and developing teams of data scientists, ML engineers, and software engineers, including recruitment, coaching, and career development. - **Cross-Functional Collaboration**: Working with various stakeholders to align AI strategies with business goals and ensure successful outcomes. **Required Skills and Experience**: - Strong technical expertise in machine learning, programming, statistics, and modern AI technologies - Proven leadership abilities and experience managing large-scale projects - Strategic thinking and problem-solving skills - Effective communication skills for explaining complex AI solutions to non-technical stakeholders **Education and Qualifications**: - Bachelor's degree in engineering, computer science, or a related field (advanced degrees often preferred) - Typically 5+ years of hands-on experience in designing and implementing machine learning models at scale **Compensation and Benefits**: - Base salary range: $200,000 to $240,000 per year, with potential for additional bonuses - Competitive benefits package including health insurance, retirement plans, and paid time off **Career Development**: - Continuous learning to stay updated with emerging AI trends and technologies - Active participation in industry events and professional organizations for networking and career advancement The Director of Engineering AI role is crucial in driving the integration and success of AI initiatives within an organization, requiring a combination of strong technical expertise, leadership skills, and strategic thinking.

Engineering Lead AI Systems

Engineering Lead AI Systems

A Lead Artificial Intelligence (AI) Engineer plays a crucial role in developing, implementing, and optimizing AI systems within an organization. This position combines technical expertise with leadership skills to drive innovation and efficiency across various engineering disciplines. ### Responsibilities - Design and implement scalable AI/ML computing infrastructures and application stacks - Lead cross-functional teams in developing and deploying AI solutions - Establish best practices and governance frameworks for AI/ML implementations - Stay updated with emerging technologies to enhance institutional capabilities - Oversee disaster recovery and business continuity planning for AI infrastructure ### Qualifications - Master's degree in Computer Science, Data Science, or related field (PhD often preferred) - 5+ years of experience in high-level architecture design for large-scale AI/ML systems - Expertise in deep learning frameworks, time series analysis, and NLP - Strong programming skills (Python, R) and communication abilities ### Impact on Engineering - Enhanced decision-making through data-driven insights - Optimization and automation of processes, leading to cost savings and efficiency - Implementation of predictive maintenance programs - Improved design and development processes, particularly in aerospace and automotive engineering ### Integration with Systems Engineering - AI integration across the systems engineering lifecycle - Utilization of AI-enhanced simulation tools and automated testing suites - Optimization of design choices and transformation of verification and validation processes In summary, a Lead AI Engineer is essential in leveraging AI technologies to drive innovation and efficiency within engineering and other fields, ensuring that AI solutions are scalable, high-performance, and aligned with organizational goals.

Director of Mission Analytics

Director of Mission Analytics

The Director of Mission Analytics is a pivotal role that combines technical expertise in data analysis with strategic leadership to drive organizational growth, optimize operations, and support the overall mission. This position is crucial in today's data-driven business environment, where insights derived from complex data sets can significantly impact decision-making and strategy formulation. Key aspects of the role include: 1. Strategic Leadership: The director leads the development and execution of comprehensive analytics strategies, aligning them with organizational goals and mission. They work closely with various departments such as marketing, sales, operations, and product to define key performance indicators (KPIs) and ensure regular evaluation. 2. Analytical Expertise: A strong background in statistical analysis, data modeling, and visualization is essential. Proficiency in tools like SQL, Python, R, and business intelligence platforms (e.g., Tableau, Power BI, Looker) is required. Experience with big data technologies, cloud-based analytics platforms, and AI-driven analytics initiatives is also crucial. 3. Team Management: The director leads and mentors a team of analysts, fostering a culture of data-driven decision-making and ensuring data quality, integrity, and security across all analytics initiatives. 4. Communication and Collaboration: Excellent communication skills are necessary to translate complex data into actionable business insights and present findings to stakeholders. The role involves developing executive-level reporting dashboards and presentations to communicate performance metrics, trends, and risks. 5. Industry Application: In government or public sector contexts, mission analytics focuses on improving resource allocation and decision-making through data-driven methods. In private organizations, it may involve identifying and promoting effective strategies to support vulnerable populations. Qualifications typically include: - Education: Bachelor's degree in Statistics, Mathematics, Computer Science, or related field; Master's degree often preferred - Experience: At least 6 years in analytics, with 2+ years in a leadership role - Skills: Strong analytical, technical, communication, and leadership abilities The Director of Mission Analytics plays a critical role in leveraging data to drive organizational success, making it an essential position in today's data-centric business landscape.

Senior Data & Geo Engineering Lead

Senior Data & Geo Engineering Lead

Senior leadership roles in data engineering and geospatial/geotechnical engineering require a combination of technical expertise, leadership skills, and industry knowledge. This overview provides insight into the responsibilities and requirements for these positions. ### Senior Lead Data Engineer **Role Overview:** - Provides technical leadership within a data engineering team - Oversees design, development, and optimization of data software, infrastructure, and pipelines - Guides and mentors a team of data engineers **Key Responsibilities:** - Technical Leadership: Design and optimize data solutions - Team Management: Guide, mentor, and ensure best practices - Hands-on Involvement: Contribute to technical challenges and set standards - Data Strategy: Align engineering efforts with business goals - Cloud Technologies: Develop solutions using Azure and AWS - Cost Efficiency: Manage solutions within agreed budgets - Mentorship: Foster innovation and collaboration **Required Skills:** - Extensive experience in data engineering and cloud technologies - Expertise in data technologies and governance - Strong analytical and problem-solving abilities - Effective communication skills - Proficiency in programming languages (Spark, Java, Python, PySpark, Scala) - Cloud certifications (AWS, Azure, Cloudera) are beneficial ### Senior Geospatial/Geotechnical Engineering Lead **Role Overview:** - Provides leadership and technical expertise in geospatial or geotechnical engineering - Manages complex projects and serves as a technical resource **Key Responsibilities:** - Project Management: Oversee budgets, client communications, and proposals - Technical Expertise: Provide guidance on complex challenges - Mentorship: Develop junior staff and ensure best practices - Business Development: Identify new clients and opportunities - GIS and 3D Modeling: Contribute to geo-spatial database projects (Geospatial focus) - Engineering Analyses: Perform and oversee complex analyses (Geotechnical focus) **Required Skills:** - Bachelor's or Master's degree in relevant engineering field - Minimum 6 years of experience (4+ in project management for Geotechnical) - PE license (for Geotechnical roles) - Strong communication and leadership skills - Proficiency in GIS and 3D modeling (for Geospatial roles) - Ability to travel for site visits and client meetings Both roles demand a combination of technical proficiency, leadership capabilities, and the ability to drive innovation within their respective fields. These positions are crucial for organizations seeking to leverage data and geospatial/geotechnical expertise for strategic advantage.