About

Marcus Coleman

Senior Information Security Specialist · Open to remote roles internationally and anywhere in the US

Illustrated portrait of Marcus Coleman against a cybersecurity-themed backdrop

I'm a security engineer. For 14+ years I've worked across federal, higher-education, and payment-processing environments, and for the last 8+ I've focused on application security — SAST and DAST triage, secure-SDLC partnership with engineering teams, and penetration test programs from scope to sign-off.

The other half of the work is data. I run enterprise vulnerability-management programs the way an analyst would: Python pipelines that ingest scanner and ticket exports, blended risk scores built from CVSS, EPSS, and CISA KEV, and executive dashboards that turn tens of thousands of findings into a short, ranked list of what to fix first. An M.S. in Data Analytics sits behind that — machine learning and statistical modeling applied to severity prediction and remediation forecasting.

I build things, not just operate them: a Splunk SIEM stood up from nothing, the first enterprise-wide DAST rollout in a federal research environment, an automation pipeline that cut manual assessment time by roughly 40%.

Capabilities

The full range

  1. Vulnerability Management

    Run the program end to end: risk-based SLAs, triage, remediation tracking, MTTR reduction.

    • Tenable Nessus
    • Tenable.sc
    • Invicti
    • Qualys
    • Nexpose
    • GHAS
    • CVSS
    • EPSS
    • CISA KEV
  2. Application Security

    SAST and DAST triage with source-code comprehension, false-positive analysis, retest and fix verification, secure SDLC, developer remediation guidance.

    • OWASP Testing Guide
    • SAST
    • DAST
    • secret scanning
    • dependency review
    • CI/CD integration
  3. Security Automation & Engineering

    Python pipelines that ingest scanner and ticket data, produce KPI dashboards, and shift scanning left into CI/CD.

    • Python
    • pandas
    • NumPy
    • scikit-learn
    • Git
    • ServiceNow integration
    • API / data pipelines
  4. Offensive Security

    Web-app and network penetration testing, scope and methodology definition, exploitation validation, custom Python tooling.

    • Kali Linux
    • Nmap
    • NIST SP 800-115
    • CPTE
  5. Data Analytics & Machine Learning

    Supervised and unsupervised learning, time series, NLP, hypothesis testing, and predictive modeling applied to risk scoring and remediation forecasting.

    • Tableau
    • dashboard design
    • data storytelling
    • M.S. Data Analytics
  6. Security Operations & Detection

    SIEM build, administration, dashboards, and log onboarding; EDR; incident response, malware investigation, alert triage and tuning.

    • Splunk
    • CrowdStrike
    • incident response
    • threat intelligence
  7. Cloud & Infrastructure Security

    AWS vulnerability assessment, firewall management, network segmentation, and Linux server administration.

    • AWS Inspector
    • GuardDuty
    • Security Hub
    • Cisco ASA
  8. Compliance & Frameworks

    Assessment and audit support against federal and industry standards, ATO packages, and continuous monitoring.

    • FISMA
    • NIST SP 800-53
    • NIST SP 800-115
    • CISA directives / KEV
    • PCI-DSS
    • CIS Benchmarks
  9. Communication & Leadership

    Executive and technical reporting, C-suite briefings, Statements of Work, remediation runbooks, and cross-functional program leadership.

    • executive reporting
    • SOW authoring
    • developer enablement
    • security-awareness training

Credentials

Certifications & clearance

Fit

What I’m looking for

I'm open to senior individual-contributor and lead roles in application security, vulnerability management, or security automation / detection engineering — especially where a data-analytics background is an asset rather than a curiosity. I work fully remote and take remote roles internationally and anywhere in the US. Active Public Trust clearance.