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Security Automation Use Case

Memfit AI enables intelligent security automation, combining AI-driven decision making with Yaklang's powerful scripting capabilities.

Overview

Security automation challenges:

  • Complex workflow orchestration
  • Dynamic response to findings
  • Tool integration and coordination
  • Intelligent decision making

Memfit AI addresses these through its adaptive architecture.

Automation Patterns

Continuous Security Monitoring

┌─────────────────────────────────────────────────────┐
│ Continuous Monitoring Loop │
├─────────────────────────────────────────────────────┤
│ │
│ Schedule Trigger → ReAct Loop → Analysis │
│ ↓ ↓ │
│ Asset Discovery Finding Detection │
│ ↓ ↓ │
│ Vulnerability Scan Alert Generation │
│ ↓ ↓ │
│ Report Generation Memory Storage │
│ │
└─────────────────────────────────────────────────────┘

Incident Response Automation

When security events occur:

  1. Detection - Event triggers Memfit AI
  2. Analysis - Automatic context gathering
  3. Planning - Response plan generation
  4. Execution - Automated containment actions
  5. Documentation - Incident report creation

Key Capabilities

Script Generation

Memfit AI can generate Yaklang scripts:

  • Custom scanning scripts
  • Data processing pipelines
  • Integration connectors
  • Report generators

Tool Orchestration

Coordinate multiple security tools:

  • Scanners (Nuclei, custom)
  • Analyzers (SSA, SyntaxFlow)
  • Reporters (PDF, JSON)
  • Notifiers (Slack, Email)

Adaptive Workflows

Workflows adapt based on:

  • Previous run results
  • Environmental changes
  • New threat intelligence
  • User feedback

Example Automations

Daily Security Scan

User: Set up daily security scanning for our infrastructure

Memfit AI: I'll create an automated daily scan workflow.

Generated Workflow:
1. Asset Discovery (00:00)
- Network enumeration
- Service identification

2. Vulnerability Scanning (01:00)
- Nuclei vulnerability check
- Port service validation

3. Change Detection (03:00)
- Compare with previous scan
- Flag new exposures

4. Report Generation (04:00)
- Summary dashboard update
- Email notification

5. Memory Update
- Store findings for trend analysis
- Update risk baseline

Schedule created. First run: Tonight at 00:00

Compliance Checking

User: Check our AWS infrastructure against CIS benchmarks

Memfit AI: I'll perform a CIS benchmark compliance check.

[Executing compliance checks via ReAct loops]

Compliance Report:
- Total Checks: 142
- Passed: 118 (83%)
- Failed: 24 (17%)

Critical Failures:
1. Root account MFA not enabled
2. S3 buckets with public access
3. Security groups with 0.0.0.0/0 access

Generating remediation scripts...

Threat Intelligence Integration

User: Monitor for new CVEs affecting our technology stack

Memfit AI: I'll set up CVE monitoring for your stack.

Detected Technologies:
- nginx 1.21.0
- PostgreSQL 14.2
- Node.js 18.0
- React 18.2

Monitoring configured. I'll alert you when:
- New CVEs are published
- Severity is HIGH or CRITICAL
- Exploits become available

Memory: Stored technology fingerprints for future reference

Yaklang Integration

Native Script Execution

Execute Yaklang scripts directly:

// Example: Custom port scanner
result = servicescan.Scan("192.168.1.0/24", "22,80,443,8080")~
for fingerprint in result {
println(fingerprint.String())
}

API Access

Full access to Yaklang libraries:

  • Network operations
  • File handling
  • Data processing
  • Security tools

Benefits

AspectBenefit
EfficiencyAutomated routine tasks
ConsistencyStandardized execution
IntelligenceAI-driven adaptation
IntegrationYaklang ecosystem access
ScalabilityHandle large environments