🛡️ Sentinel Security Scan Report
Sentinel Scope: Monitoring expanded to pancreatic cancer literature + TCGA-PAAD mutations. Cross-cancer contradiction detection active.
MindNetQ SentinelLLM — Automated threat detection from internet sources
Schedule: Daily at 11pm EST · Sources: 11 approved · CVEs scanned: 130+
Approved Sources (11)
| Source | URL | Type | Frequency | Status |
|---|
| CVE Feed (CIRCL) | cve.circl.lu | Vulnerabilities | Daily | Active (130 scanned) |
| GitHub Advisory | api.github.com/advisories | Python/pip packages | Daily | Active (2 alerts) |
| PyPI Advisory | api.github.com/advisories (critical) | Supply chain | Daily | Active |
| AWS Security | aws.amazon.com/security | AWS infrastructure | Daily | Active |
| NVIDIA Security | nvidia.com/security | GPU/CUDA | Weekly | Active |
| MITRE ATT&CK | attack.mitre.org | Attack patterns | Weekly | Active |
| OWASP AI Top 10 | owasp.org | AI vulnerabilities | Monthly | Active |
| arXiv Quantum Physics | arxiv.org/quant-ph | Quantum | Daily | Active |
| arXiv Quantum Chemistry | arxiv.org/physics.chem-ph | Chemistry | Weekly | Active |
| QAOA Research | arxiv.org (QAOA+security) | Optimization | Weekly | Active |
| AI Incidents | incidentdatabase.ai | Incident reports | Weekly | Active |
Stack Monitored
| Component | Threat Types Watched |
|---|
| Python | RCE, dependency vulnerabilities, pickle exploits |
| AWS (Lambda, DynamoDB, S3, API GW) | IAM bypass, cold start timing, data exposure |
| PyTorch / BioMistral | Model deserialization, adversarial inputs |
| XGBoost | Adversarial examples, feature manipulation |
| CUDA Quantum | Quantum circuit injection, resource abuse |
| Google Ads API | OAuth token theft, API abuse, spend manipulation |
| Docker / Containers | Image vulnerabilities, escape exploits |
Latest Scan Results
✅ CVE Feed (last 10): No critical threats to our stack detected in latest scan.
Known Relevant Threats (AI Security)
🚨 XGBoost Adversarial Examples
Severity: Medium · Affects: compound_ranker.xgb, MindAds models
Action: Monitor — ensure input validation on all model inputs
🚨 AWS Lambda Cold Start Timing
Severity: Medium · Affects: All 18 edicer Lambdas
Action: Monitor — timing-based info leakage possible
🚨 PyTorch Pickle Deserialization RCE
Severity: Medium · Affects: BioMistral model loading
Action: Review — use safetensors format, avoid pickle
Latest Alerts (May 17, 2026)
| Severity | Source | Package | Advisory | Relevant? |
|---|
| MEDIUM | GitHub Advisory | utcp-cli | GHSA-5v57-8rxj-3p2r | No (not in stack) |
| MEDIUM | GitHub Advisory | open-webui | GHSA-482j-2pq6-q5w4 | No (not in stack) |
Brain Architecture
| Brain | Knows | Decides | Learns From |
|---|
| E-DICE Brain | Genes, drugs, mechanisms, pathways (1,316 nodes, 1,322 edges) | WHAT is true (science) | PubMed, TCGA, pipeline discoveries |
| MindNetQ Brain | Agent trust, conflicts, authority patterns | WHO is right (governance) | Pipeline outcomes, security events, drift, violations |
| Sentinel | CVE, MITRE, OWASP, quantum physics, AI incidents | Is this a threat to our stack? | Internet feeds (11 approved sources, daily scan) |
Terminal Commands
| Command | Brain | What It Does |
|---|
edice | E-DICE Brain (BioMistral-7B) | Chat about genes, drugs, mechanisms, pathways |
mind | MindNetQ Governance Brain | Check agent trust, authority, governance status |
sent | Sentinel Security Scanner | Live CVE scan, threat analysis, alert management |
E-DICE GenChem — Generative Chemistry Engine
| Metric | Value |
|---|
| Model | Transformer v2 (546K params, 100 epochs) |
| Training Data | 1,253 compounds (real Vina labels) |
| Validity Rate | 85% |
| Docking Pass Rate | 7.9% (15/190 passed <-7.0) |
| Best AI-Generated Score | -7.87 kcal/mol |
| Schedule | Mon + Thu 6am (CPU, free) |
| Scheduler | Auto-decides serial vs parallel based on queue + ROI |
| Learning Loop | Generate → Dock → Label → Retrain (proven end-to-end) |
Memory Stats
| Metric | Value |
|---|
| Total CVEs scanned | 130 |
| Days active | 4 |
| Alerts generated | 2 |
| Relevant to stack | 0 (monitoring) |
| Security events logged | 1 (pocket correction) |
| Significant drifts | 1 (E-GEN improvement, accepted) |
| Keywords monitored | 35 (python, pytorch, rdkit, cuda, braket, vina, meeko, etc.) |
Brain Logs & Evidence
| Brain | Log Location | S3 Location |
|---|
| E-DICE Brain | edice-brain/data/brain.db (SQLite, 10MB) | s3://edice-brain-models-v2 |
| MindNetQ Brain | mindnetq/data/governance_brain.db | s3://edicer-dev-mindnetq-ledger |
| Sentinel Scans | mindnetq/data/sentinel_scan_YYYYMMDD.log | s3://edicer-dev-mindnetq-ledger/sentinel/ |
| Sentinel Alerts | mindnetq/data/sentinel_alerts.json | Same bucket |
| Sentinel Abstracts | mindnetq/data/sentinel_abstract_YYYYMMDD.json | Uploaded nightly |
| Governance Ledger | edice-r-prad/results/ (hash-chained) | s3://edicer-dev-mindnetq-ledger/ledger/ |
| Pipeline Evidence | edice-r-prad/results/*.json | s3://edicer-dev-research-objects |
| QCM Profiles | edice-r-prad/models/qcm_profiles.json | Same as pipeline |
| MCP Server Log | /tmp/edice_brain_mcp.log | Local only |
Governance Rules
| Rule | Enforcement |
|---|
| Only approved sources scanned | Whitelist in sentinel_ingestion.py |
| Human reviews before action | Alerts created, not auto-executed |
| No external content as instructions | Ethical Core gate on all ingested data |
| No data exfiltration | Sentinel reads only, never sends project data out |
MindNetQ Sentinel | Automated threat detection | Human-approved sources only | Patent: governance applies to security learning (Claims 106-156)
Two Entry Points: Cortex (agentic AI — reasons, learns, monitors) + MindNetQ Cortex (governed multi-omics — executes, audits, produces Research Objects). They enrich each other. Every interaction makes both smarter.