mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
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24f816b6a3
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
3.1 KiB
3.1 KiB
Workflows: Anti-Phishing Training Program
Workflow 1: Annual Program Lifecycle
Q1: Baseline & Planning
+-- Run baseline phishing simulation
+-- Assess current awareness maturity level
+-- Define annual targets and KPIs
+-- Select/renew training platform
+-- Design curriculum by role and department
|
Q2: Foundation Training
+-- Deploy core phishing awareness modules
+-- Run monthly simulations (easy difficulty)
+-- Launch phishing report button
+-- Begin tracking metrics
|
Q3: Advanced Training
+-- Role-specific training (finance, IT, executives)
+-- Increase simulation difficulty
+-- Recognize security champions
+-- Mid-year metrics review
|
Q4: Assessment & Optimization
+-- Run year-end assessment simulation
+-- Compare against baseline
+-- Generate annual report
+-- Identify gaps for next year
+-- Present ROI to leadership
Workflow 2: Just-in-Time Training Flow
User interacts with simulated phishing email
|
v
[Did user click the link?]
|
+-- NO (ignored or reported) --> Positive outcome tracked
| |
| +-- [Did user report it?]
| +-- YES --> Send congratulations, award points
| +-- NO --> No action (not a failure)
|
+-- YES (clicked link)
|
v
[Landing page shows "This was a test"]
|
v
[Immediate micro-training module (2-3 min)]
+-- What red flags were present
+-- How to identify similar emails
+-- How to report suspicious emails
|
v
[Auto-enroll in refresher course within 7 days]
|
v
[Manager receives aggregate report (not individual names)]
|
v
[User included in next simulation cycle]
Workflow 3: Repeat Offender Escalation
User fails first simulation
|
+-- Standard just-in-time training
+-- Auto-enrolled in awareness module
|
User fails second simulation (within 6 months)
|
+-- Enhanced training assignment
+-- One-on-one coaching session offered
+-- Manager notification (private)
|
User fails third simulation
|
+-- Mandatory extended training
+-- Access restrictions considered (additional MFA, restricted permissions)
+-- HR involvement per policy
+-- Monthly targeted simulations
|
User passes subsequent simulation
|
+-- Return to normal simulation schedule
+-- Positive reinforcement
Workflow 4: Metrics-Driven Optimization
Monthly Data Collection
|
+-- Simulation results (click, submit, report rates)
+-- Training completion rates
+-- User-reported real phishing volume
+-- Help desk phishing tickets
|
v
[Analyze by dimensions]
+-- Department breakdown
+-- Role/seniority breakdown
+-- Location breakdown
+-- Trend over time
|
v
[Identify patterns]
+-- Which departments are improving?
+-- Which scenarios are most effective?
+-- Are repeat offenders decreasing?
+-- Is report rate increasing?
|
v
[Adjust program]
+-- Increase difficulty for high-performing groups
+-- More training for struggling departments
+-- New scenario types for common gaps
+-- Update content for new threat trends