Multi Disciplined Language Analyst Job Profile

What is a Multi-Disciplined Language Analyst?

Multi-Disciplined Language Analyst (AN-LNG-001): Applies language and culture expertise with target/threat and technical knowledge to process, analyze, and/or disseminate intelligence information derived from language, voice and/or graphic material. Creates and maintains language-specific databases and working aids to support cyber action execution and ensure critical knowledge sharing. Provides subject matter expertise in foreign language-intensive or interdisciplinary projects.

Multi-Disciplined Language Analyst must know:

  • laws, regulations, policies, and ethics as they relate to cybersecurity and privacy.
  • cybersecurity and privacy principles.
  • cyber threats and vulnerabilities.
  • specific operational impacts of cybersecurity lapses.
  • concepts, terminology, and operations of a wide range of communications media (computer and telephone networks, satellite, fiber, wireless).
  • front-end collection systems, including traffic collection, filtering, and selection.
  • cyber attack stages (e.g., reconnaissance, scanning, enumeration, gaining access, escalation of privileges, maintaining access, network exploitation, covering tracks).
  • analytic tools and techniques for language, voice and/or graphic material.
  • approved intelligence dissemination processes.
  • classification and control markings standards, policies and procedures.
  • collection systems, capabilities, and processes.
  • computer programming concepts, including computer languages, programming, testing, debugging, and file types.
  • concepts related to websites (e.g., web servers/pages, hosting, DNS, registration, web languages such as HTML).
  • customer information needs.
  • cyber operation objectives, policies, and legalities.
  • cyber operations.
  • data communications terminology (e.g., networking protocols, Ethernet, IP, encryption, optical devices, removable media).
  • evolving/emerging communications technologies.
  • how to extract, analyze, and use metadata.
  • intelligence reporting principles, policies, procedures, and vehicles, including report formats, reportability criteria (requirements and priorities), dissemination practices, and legal authorities and restrictions.
  • language processing tools and techniques.
  • network security (e.g., encryption, firewalls, authentication, honey pots, perimeter protection).
  • network security implementations (e.g., host-based IDS, IPS, access control lists), including their function and placement in a network.
  • networking and Internet communications fundamentals (i.e. devices, device configuration, hardware, software, applications, ports/protocols, addressing, network architecture and infrastructure, routing, operating systems, etc.).
  • obfuscation techniques (e.g., TOR/Onion/anonymizers, VPN/VPS, encryption).
  • operations security.
  • principles and practices related to target development such as target
  • knowledge, associations, communication systems, and infrastructure.
  • relevant laws, regulations, and policies.
  • specialized target language (e.g., acronyms, jargon, technical terminology, code words).
  • target communication profiles and their key elements (e.g., target associations, activities, communication infrastructure).
  • target communication tools and techniques.
  • target cultural references, dialects, expressions, idioms, and abbreviations.
  • target language(s).
  • target or threat cyber actors and procedures.
  • target, including related current events, communication profile, actors, and history (language, culture) and/or frame of reference.
  • the characteristics of targeted communication networks (e.g., capacity, functionality, paths, critical nodes).
  • the data flow from collection origin to repositories and tools.
  • the feedback cycle in collection processes.
  • the impact of language analysis on on-net operator functions.
  • the organization, roles and responsibilities of higher, lower and adjacent sub-elements.
  • the request for information process.
  • the structure, architecture, and design of modern digital and telephony networks.
  • the structure, architecture, and design of modern wireless communications systems.
  • transcript development processes and techniques (e.g., verbatim, gist, summaries).
  • translation processes and techniques.

Key skills of the Multi-Disciplined Language Analyst include:

  • analyzing language processing tools to provide feedback to enhance tool development.
  • analyzing traffic to identify network devices.
  • applying various analytical methods, tools, and techniques (e.g., competing hypotheses; chain of reasoning; scenario methods; denial and deception detection; high impact-low probability; network/association or link analysis; Bayesian, Delphi, and Pattern analyses).
  • assessing a target’s frame of reference (e.g., motivation, technical capability, organizational structure, sensitivities).
  • complying with the legal restrictions for targeted information.
  • conducting research using all available sources.
  • conducting social network analysis.
  • developing intelligence reports.
  • disseminating items of highest intelligence value in a timely manner.
  • evaluating and interpreting metadata.
  • evaluating data sources for relevance, reliability, and objectivity.
  • evaluating information for reliability, validity, and relevance.
  • gisting target communications.
  • identifying a target’s network characteristics.
  • identifying intelligence gaps and limitations.
  • identifying language issues that may have an impact on organization objectives.
  • identifying non-target regional languages and dialects
  • interpreting traceroute results, as they apply to network analysis and reconstruction.
  • managing client relationships, including determining client needs/requirements, managing client expectations, and demonstrating commitment to delivering quality results.
  • prioritizing target language material.
  • providing analysis on target-related matters (e.g., language, cultural, communications).
  • recognizing denial and deception techniques of the target.
  • recognizing significant changes in a target’s communication patterns.
  • recognizing technical information that may be used for target development including intelligence development.
  • synthesizing, analyzing, and prioritizing meaning across data sets.
  • transcribing target language communications.
  • translating target graphic and/or voice language materials.
  • using non-attributable networks.

Multi-Disciplined Language Analyst must be able to:

  • communicate complex information, concepts, or ideas in a confident and well-organized manner through verbal, written, and/or visual means.
  • apply language and cultural expertise to analysis.
  • function in a collaborative environment, seeking continuous consultation with other analysts and experts—both internal and external to the organization—to leverage analytical and technical expertise.
  • review processed target language materials for accuracy and completeness.

Our Revolution

We believe Cyber Security training should accessible for everyone, everywhere. Everyone deserves the OPPORTUNITY to learn, begin and grow a career in this fascinating field. Therefore, Cybrary is the world's largest community where people, companies and training come together to give everyone the ability to collaborate in an open source way that is revolutionizing the cyber security educational experience.

We recommend always using caution when following any link

Are you sure you want to continue?