Cybersecurity career intelligence
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Founded by Julian Calvo, Ed.D. · Cybersecurity career intelligence · Est. 2024
The two parent disciplines that anchor the DecipherU cybersecurity career intelligence platform. Cybersecurity is the launching vertical. Applied AI is live as of April 2026. The two converge into AI for Cybersecurity and Cybersecurity for AI.
Each domain has its own role taxonomy, salary structure, and credentialing path. Foundation careers feed into convergence specializations through documented bridges.
Area 1 / Foundation
Traditional cybersecurity careers. SOC, GRC, security engineering, penetration testing, incident response, threat intelligence, security architecture, and security leadership. The launching vertical, validated and live.
Area 2 / Foundation
Practitioner-grade Applied AI careers. AI Engineering, ML Engineering, AI Product Management, Prompt Engineering, AI Governance, and the broader applied AI taxonomy. Live as of April 2026.
Eight roles, four from each foundation domain. The highest-intent entry points into the catalog.
Cybersecurity
Front-line defender. Triages alerts, investigates incidents, and escalates real threats. Median 87,400 dollars, very high demand.
Cybersecurity
Builds and maintains the controls. Detection engineering, IAM, and cloud security architecture. Median 124,900 dollars.
Cybersecurity
Adversarial testing for production systems. Web, network, and cloud. Median 112,200 dollars, high demand.
Cybersecurity
Governance, risk, and compliance. Maps controls to frameworks like NIST CSF, SOC 2, and ISO 27001. Median 95,000 dollars.
Applied AI
Builds AI products. Retrieval-augmented generation, evaluations, and the production glue between models and applications.
Applied AI
Trains, deploys, and maintains models in production. Owns data pipelines, training infrastructure, and serving stacks.
Applied AI
Owns AI-native products. Translates user problems into model behavior, evaluation criteria, and shipping decisions.
Applied AI
Designs the prompts and workflows that get reliable behavior from frontier models. Owns evaluations and prompt regression.
Two ways into the catalog. The risk score grades automation exposure. The assessment matches interests to roles. Use both before reading any career guide.
Two minutes. Grades automation exposure for your current cybersecurity work and recommends a first move.
Start the risk score →RIASEC plus DecipherU Framework. Matches your interests and aptitudes to roles in cybersecurity and Applied AI.
Open the assessment →Where the foundations meet
Foundation careers feed into convergence specializations. AI for Cybersecurity uses AI to do security work. Cybersecurity for AI secures AI systems. Both pay premium compensation. The bridges from foundation to convergence are documented on every guide.
See convergence careers →Foundation careers are the two parent disciplines: cybersecurity and Applied AI. Cybersecurity covers SOC, GRC, security engineering, penetration testing, and adjacent paths. Applied AI covers AI engineering, ML engineering, AI product management, and the broader practitioner taxonomy. Both run on the same career intelligence platform.
They are independent foundation disciplines that converge in two directions. AI for Cybersecurity uses AI to do security work. Cybersecurity for AI applies security to AI systems. Foundation paths feed into convergence paths. The career-mobility maps are explicit on every guide.
Take the AI risk score for cybersecurity and the free RIASEC assessment. The risk score shows which roles are most exposed to automation. The RIASEC assessment matches your interests to the 76 cybersecurity roles in the catalog. Together they narrow the list before you read any career guide.
Open the Applied AI vertical landing and the Applied AI risk score. The vertical page introduces the role taxonomy. The risk score grades how AI is reshaping your current work. From there the guides for AI Engineer, ML Engineer, and AI Product Manager are the highest-volume entry points.