Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
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
2026-06-10 06:53:01 +00:00

758 B

Standards Reference: Mobile Application Management

NIST SP 800-124 Rev 2 - Mobile Device Security

  • Section 4: Enterprise mobile security technologies (MDM, MAM, MTD)
  • Section 5: App vetting and management requirements

OWASP Mobile Top 10 2024

ID Risk MAM Mitigation
M6 Inadequate Privacy Controls Data separation between personal and corporate
M8 Security Misconfiguration Enforced app configuration policies
M9 Insecure Data Storage App-level encryption and backup restrictions

CIS Controls v8

Control MAM Relevance
2.5 Allowlist authorized mobile software
3.6 Encrypt data on end-user devices
6.4 Require MFA for remote access