Reactive and agentic AI, built for cybersecurity skills

HuntCode incorporates reactive AI tutoring and agentic AI across the platform. Designed as a modular, skills-based learning system.

CodeLab
CertLab
HuntBot
PulseLab
SkillLab

Engineered for skill

Infrastructure that generates, validates, and evolves cybersecurity capability continuously.

Features

Agentic by design

Agent-driven workflows that reason, adapt, and execute complex tasks.

HuntBot engine

Context-aware reasoning across lessons, labs, and platform systems.

Content synthesis

Synthesize lessons and modules through agent-driven reasoning.

The problem

Why cybersecurity skills decay and certifications fail to stay current.

What is broken?

Cybersecurity skills decay faster than most learning systems can measure. Training is typically delivered as static content, execution is siloed from instruction, and assessments happen infrequently. As threats, tooling, and environments evolve, learner proficiency quietly drifts out of date.

  • Content remains fixed while attack techniques continuously change
  • Hands-on execution is disconnected from learning and evaluation
  • Skill decay is invisible between courses, exams, or renewals
  • Progress is measured by completion rather than demonstrated capability
  • Threat context is rarely incorporated after initial instruction
Features

The platform

Infrastructure for measurable, validated cybersecurity capability.

What HuntCode is

HuntCode operates through agentic jobs that generate, adapt, and validate learning. Instead of static lessons, structured jobs build content, analyze curriculum trends, produce agentic analyses, and validate skills through executable exercises and assessments.

  • Analyze concept clusters and curriculum trends across time
  • Generate course outlines, summaries, and structured metadata
  • Generate courses, modules, lessons, exercises, quizzes, and assessments through agentic jobs
  • Rewrite lessons, quizzes, and assessments when gaps are detected
  • Incorporate updated threat intelligence periodically
HuntCode Platform Sphere

Agentic job runs

Lesson builds

CodeLab validations

Threat intel refresh cycles

Labs preview

Specialized labs powering execution, measurement, intelligence, and certification.

What HuntCode has

HuntCode has five layers: an agent layer that generates and guides (HuntBot), a runtime execution layer (CodeLab), a capability measurement layer (SkillLab), an intelligence layer (PulseLab), and a certification layer (CertLab).

  • HuntBot - contextual chatbot grounded in platform knowledge
  • CodeLab - executable exercises with deterministic runtime validation
  • SkillLab - measurable skill progression and capability tracking
  • PulseLab - agentic threat intelligence from real security events
  • CertLab - certificates based on completion and assessment outcomes
Labs

How it works

Agentic jobs generate, evaluate, and evolve cybersecurity capability.

Structured agent pipeline

HuntCode operates through structured agentic job types. Each job performs a defined function such as lesson generation, assessment construction, executable validation, or intelligence analyses. Instead of static content, capability is built and evaluated through repeatable job execution.

  • Generate curriculum components through discrete job types
  • Inspectable job outputs and insights with contextual "Let HuntBot Talk" playback
  • Produce versioned analysis snapshots with viewable run metadata
  • Perform agentic curriculum analysis across concept clusters, learning relationships, temporal trends, and top concept signals
  • Aggregated insights from recent threat intelligence runs
How HuntCode Works

Skill validation

Capability is assessed through structured evaluation and reinforced through runtime evaluation.

Proof of capability

HuntCode combines structured assessment with hands-on practice. Learners demonstrate conceptual mastery through quizzes and exams, and reinforce applied capability through interactive CodeLab exercises executed in a controlled runtime environment.

  • Knowledge-based assessment - quizzes and assessments measure understanding of core cybersecurity concepts
  • Deterministic runtime validation - executable exercises are evaluated against expected output
  • Unlimited attempts - learners iterate until correct execution is achieved
  • Tiered certification - certificates distinguish completion from assessed proficiency
Skill validation

Courses

Exercises

Code runs

Modules

Who It's For

Built for teams and individuals who need skills that stay current.

Secure sandbox features

Academic & Workforce Programs

For institutions preparing learners for real-world security roles. HuntCode bridges theory and execution while keeping curricula aligned with current threats, tooling, and operational practices.

Students & Career Changers

For learners entering cybersecurity. HuntCode emphasizes hands-on execution, feedback, and validation to build practical skills that evolve as learners progress.

Security Teams & SOCs

For security teams and SOCs defending production environments. HuntCode provides execution-based validation, continuous assessment, and measurable readiness as threats evolve.

Security Practitioners

Built for analysts, engineers, and operators. HuntCode continuously evolves practice and validation to maintain real-world defensive capability as threats and tools change.

Training & Enablement Leaders

For training and enablement leaders. HuntCode replaces completion-based training with observable capability, revealing what teams can actually do rather than what they are assigned.

Compliance Driven Organizations

Built for compliance-driven organizations. HuntCode generates verifiable, current skill evidence for audits, renewals, and internal assurance.

News

Updates on HuntCode’s product releases, engineering breakthroughs, and the technology shaping next-gen cyber defense learning.

Newsletter