Cybersecurity Talent, Reimagined

The workforce gap is 3.4 million. The talent exists. The system doesn't.

CipherPath uses autonomous AI to match underrepresented talent with cybersecurity careers. Personalized training. Real job placement. Running 24/7 while the industry sleeps.

3.4M
Unfilled cybersecurity positions globally
25%
Women in cybersecurity workforce
$16B
Cybersecurity training market

Training programs don't scale. Talent pipelines leak.

Bootcamps graduate thousands, but most never land cybersecurity roles. Mentorship programs cap at hundreds. Manual career coaching bottlenecks at the individual level. The talent is there. The connective tissue is not.

01
Skills mismatch between training curricula and actual employer needs
02
Invisible talent from underrepresented communities never reaches hiring managers
03
No follow-through after training ends, candidates are on their own
04
Manual matching means only a fraction of candidates get real attention
How It Works

AI agents that do the work career coaches can't scale.

01

Intelligent Matching

AI analyzes each candidate's background, learning style, and career goals to build a personalized cybersecurity pathway and match them with the right roles.

02

Autonomous Training

Adaptive learning that adjusts to real-time skill gaps. Mock interviews, scenario simulations, and certification prep that runs without human bottlenecks.

03

Active Placement

Monitors job markets 24/7, matches candidates to open roles, prepares applications, and tracks career progression long after placement.

Every capable person deserves a path into cybersecurity. Not just the connected ones.

CipherPath exists because the talent gap isn't a shortage problem. It's a matching problem. And AI can solve matching at a scale no human program can.