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

76 lines
2.4 KiB
Markdown

---
name: implementing-mtls-for-zero-trust-services
description: 'Configures mutual TLS (mTLS) authentication between microservices using Python cryptography library for certificate
generation and ssl module for TLS verification. Validates certificate chains, checks expiration, and audits mTLS deployment
status. Use when implementing zero-trust service-to-service authentication.
'
domain: cybersecurity
subdomain: security-operations
tags:
- implementing
- mtls
- for
- zero
version: '1.0'
author: mahipal
license: Apache-2.0
nist_csf:
- DE.CM-01
- RS.MA-01
- GV.OV-01
- DE.AE-02
---
# Implementing mTLS for Zero Trust Services
## When to Use
- When deploying or configuring implementing mtls for zero trust services capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
## Prerequisites
- Familiarity with security operations concepts and tools
- Access to a test or lab environment for safe execution
- Python 3.8+ with required dependencies installed
- Appropriate authorization for any testing activities
## Instructions
Generate CA certificates, issue service certificates, and configure mutual TLS
verification for service-to-service authentication.
```python
from cryptography import x509
from cryptography.x509.oid import NameOID
from cryptography.hazmat.primitives import hashes, serialization
from cryptography.hazmat.primitives.asymmetric import rsa
import datetime
# Generate CA key and certificate
ca_key = rsa.generate_private_key(public_exponent=65537, key_size=4096)
ca_cert = (x509.CertificateBuilder()
.subject_name(x509.Name([x509.NameAttribute(NameOID.COMMON_NAME, "Internal CA")]))
.issuer_name(x509.Name([x509.NameAttribute(NameOID.COMMON_NAME, "Internal CA")]))
.public_key(ca_key.public_key())
.serial_number(x509.random_serial_number())
.not_valid_before(datetime.datetime.utcnow())
.not_valid_after(datetime.datetime.utcnow() + datetime.timedelta(days=3650))
.add_extension(x509.BasicConstraints(ca=True, path_length=None), critical=True)
.sign(ca_key, hashes.SHA256()))
```
## Examples
```python
import ssl
context = ssl.SSLContext(ssl.PROTOCOL_TLS_CLIENT)
context.load_cert_chain("client.pem", "client-key.pem")
context.load_verify_locations("ca.pem")
context.verify_mode = ssl.CERT_REQUIRED
```