mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
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
73 lines
2.5 KiB
Markdown
73 lines
2.5 KiB
Markdown
# Workflows - Vulnerability SLA Breach Alerting
|
|
|
|
## Workflow 1: SLA Assignment on New Findings
|
|
|
|
### Trigger
|
|
New vulnerability findings imported from scanner.
|
|
|
|
### Steps
|
|
1. Parse incoming vulnerability data (CVE ID, CVSS score, affected asset)
|
|
2. Look up asset criticality from CMDB to determine if SLA should be tightened
|
|
3. Calculate SLA tier based on CVSS score and asset criticality
|
|
4. Compute SLA deadline: `discovered_at + remediation_days`
|
|
5. Insert SLA record into tracking database
|
|
6. Assign finding owner based on asset ownership mapping
|
|
7. Send initial notification to asset owner with SLA deadline
|
|
|
|
## Workflow 2: Hourly SLA Breach Check
|
|
|
|
### Trigger
|
|
Cron job running every hour.
|
|
|
|
### Steps
|
|
1. Query all open vulnerability SLA records
|
|
2. For each record, calculate current SLA status:
|
|
- **within_sla**: Less than 80% of SLA window elapsed
|
|
- **approaching_breach**: 80-100% of SLA window elapsed
|
|
- **breached**: Past SLA deadline
|
|
3. For approaching_breach findings (first notification):
|
|
- Send Slack/Teams warning to asset owner
|
|
- Send email notification to asset owner and team lead
|
|
4. For breached findings:
|
|
- Send immediate Slack alert to security team channel
|
|
- Trigger PagerDuty incident for critical/high severity
|
|
- Send escalation email to management chain
|
|
- Update escalation_level in database
|
|
5. For post-breach findings (already breached, escalation increase):
|
|
- Every 12 hours, increase escalation level
|
|
- Level 1: Team lead notification
|
|
- Level 2: Director notification
|
|
- Level 3: VP/CISO notification
|
|
|
|
## Workflow 3: Remediation Confirmation
|
|
|
|
### Trigger
|
|
Vulnerability scanner re-scan confirms finding resolved.
|
|
|
|
### Steps
|
|
1. Match resolved finding to SLA record
|
|
2. Record remediation timestamp
|
|
3. Calculate if remediation was within SLA
|
|
4. Update SLA record status to `remediated_within_sla` or `remediated_breach`
|
|
5. Close any associated PagerDuty incidents
|
|
6. Send confirmation notification to asset owner
|
|
7. Update metrics dashboard
|
|
|
|
## Workflow 4: Monthly SLA Compliance Report
|
|
|
|
### Trigger
|
|
First business day of each month.
|
|
|
|
### Steps
|
|
1. Query all SLA records for the previous month
|
|
2. Calculate metrics by severity tier:
|
|
- Total findings per tier
|
|
- SLA compliance rate per tier
|
|
- Mean time to remediate per tier
|
|
- Count of currently overdue findings
|
|
3. Identify top 10 assets with most SLA breaches
|
|
4. Identify teams with lowest compliance rates
|
|
5. Generate HTML report with charts
|
|
6. Email report to security leadership
|
|
7. Update executive dashboard
|