Enterprise Blueprint

Security Architecture

A comprehensive breakdown of how ByteDefense parses pipeline logic and syncs perimeter signatures with DentiGrid honeypots.

01 / STAGE GATE

CI/CD Pipeline Integration

ByteDefense operates as a strict, non-blocking check within compile processes. When a Pull Request is opened, the CLI scans the AST logic concurrently using Project Loom virtual threads.

# .github/workflows/bytedefense.yml
name: ByteDefense Scan
jobs:
  audit:
    runs-on: ubuntu-latest
    steps:
      - name: Audit with Jlama CLI
        run: |
          java -jar bytedefense.jar scan --fail-on-high
02 / PROTOCOL

Model Context Protocol

To guarantee model accuracy without leaking secrets, the CLI extracts targeted method logic, cleans hardcoded tokens, and maps context into a standardized JSON payload prior to local inference.

{
  "protocol_version": "1.0",
  "scan_target": {
    "file_path": "TokenParser.java",
    "frameworks": ["Spring Boot 3.x"]
  },
  "context": {
    "git_diff": "+ Claims claims = Jwts.parser()..."
  }
}
03 / REMEDIATION

Validation & Auto-Patch

Once Jlama outputs a candidate remediation, ByteDefense calls the in-memory Java Compiler API. If the patch compiles with zero errors, the agent branches the repository and submits a verified Pull Request.

Remediation Success Rate98.4%

ByteDefense automatically filters invalid compiler states, executing iterative correction loops natively inside the JVM before any code touches remote version control.

04 / EDGE

DentiGrid Threat Deception

Security patches are synced with the DentiGrid edge honeypots. Incoming traffic scanning for the patched vulnerability is diverted into highly-interactive decoy boxes, isolating threat actors.

Telemetry Deception Loop Active
12sSync Latency
4.3kDecoys Pushed
100%Isolation