Career decisions deserve better data

The problem

Cybersecurity has a massive talent gap. Over 500,000 positions are unfilled in the United States alone. But the career guidance available to people entering or advancing in the field is fragmented, biased, and often driven by whoever has the loudest marketing budget.

Certification vendors tell you their cert is essential. Bootcamps promise six-figure salaries in twelve weeks. Reddit threads offer anecdotes instead of data. Job boards optimize for clicks, not for career outcomes.

What we built

DecipherU synthesizes data from the sources that actually matter:

• Bureau of Labor Statistics for compensation data that reflects real market conditions, not self-reported survey noise.
• MITRE ATT&CK for threat landscape context that connects career paths to the techniques defenders actually face.
• O*NET for skill and knowledge requirements validated by occupational research, not job posting keyword stuffing.
• National Vulnerability Database for real-time vulnerability intelligence that keeps content current.

Every data point on the platform has a source, a timestamp, and an expiration. When data goes stale, we regenerate. No evergreen content that quietly rots.

The behavioral layer

Career path fit is not just about skills and salary. It is about how you think under pressure, how deeply you investigate, how clearly you communicate findings, and how quickly you absorb new concepts.

Our scenario engine presents realistic cybersecurity situations calibrated to your experience level. Your responses build a behavioral profile across six validated dimensions that predict job performance better than resumes or certifications alone.