Training Overview

This 16-hour program revolutionizes security specification writing by leveraging AI tools (Claude Code & Kimi for Coding). Participants generate precise, compliant specifications from natural language — without manual writing.

Key Innovation: Weeks of work → seconds with AI.

Detailed Training Sessions

Session 1: Architecture Mapping & Spec Foundation

Introduction to Claude and Kimi AI tools
Live demo: Natural language → formal YAML spec
Hands-on: Generate firmware update spec
Validation, refinement, and common pitfalls
Q&A and architecture discussion

Deliverables: claude-spec, kimi-spec tools + example firmware-spec.yaml

Session 2: Compliance & Control Mapping

Key frameworks overview (NERC-CIP, IEC-62443, etc.)
Demo: AI multi-framework mapping
Exercise: Map systems to regulations
Gap analysis and evidence strategies
Q&A

Deliverables: claude-compliance, kimi-compliance tools + mapping report

Session 3: Threat Modeling

STRIDE, PASTA, attack trees overview
Live AI threat modeling demo
Hands-on modeling for critical infrastructure
Mitigations and test case generation
Q&A

Deliverables: claude-threatmodel, kimi-threatmodel tools + full analysis

Session 4: Implementation & Automation

Secure code generation overview
Demo: Spec → FastAPI + Kubernetes manifests
Hands-on implementation exercise
Hardening, monitoring, and deployment best practices
Final Q&A and roadmap

Deliverables: claude-implement tool + 85% production-ready code

Direct Response to Common CISO Compliance Objectives

1. Core Compliance Goals

Collect every standard pushed by regulators (DoE, CISA, etc.)
Collect each customer’s private cyber clauses
Cross-correlate to maximize overlap (minimum investment, maximum coverage)
Turn the resulting “golden” control set into formal product requirements
Keep the mapping alive as standards and contracts evolve

2. How This Training Already Delivers

✔Automate multi-framework mapping, gap analysis, and evidence strategy.
✔Output is a YAML spec engineering can use directly as requirements.
✔Tools accept arbitrary sources — feed them regulator docs, customer PDFs, or spreadsheets.

3. Optional Extensions

❖Harvesting standards:Add guidance on sourcing regulator documents and extracting clauses.
❖Effort optimisation: Extend with prompts to score controls by implementation cost vs. coverage.
❖Prose normalisation: Add pre-processing step for contractual language.
❖Change tracking: Include version-diff and re-mapping patterns.

Time Saved – Clearly Visible

Over 440 Hours Saved

Per full security development cycle with AI workflow

Specification Writing

40+ hours → 30 seconds

~40 hours saved

Compliance Mapping

2 weeks → 5 minutes

~80 hours saved

Threat Modeling

1 week → 10 minutes

~40 hours saved

Secure Implementation

8 weeks → 1 week

~280 hours saved

Additional Business Impact

Quality & Readiness

88% automated test coverage
90%+ compliance alignment
85% production-ready code
500%+ first-year ROI

Cost Efficiency

60% development cost reduction
50% compliance cost reduction
Training investment: $3,500

Key Facts

Covers NERC-CIP, UL-1998, IEC-62443, EU-CRA, AU-SOCI and more
Applicable to critical infrastructure systems
Success metrics: Specs in <5 min, >90% quality, >95% compliance
Deployment roadmap: Training → Pilot → Production → Scale

Ready to Transform Your Security Workflow?

Book your 16-hour AI-powered training and start saving hundreds of hours per compliance cycle.

Open Email Client →

Email: info@chokmah.me

Limited slots available – reach out today to secure your session.