AI-Native Network Defense

Real-time zero-day protection with autonomous response.

GhostWall watches every packet, predicts attacker behavior, and deploys live countermeasures in milliseconds. Powered by Suricata + machine learning, with a distributed memory we call GhostChain.

Request a Demo Built by Devin McCall. Private beta 2025.
BUILT FOR
Financial Services Defense Healthcare Cloud-Native Critical Infrastructure

Why security leaders choose GhostWall

Outcome-focused protection with measurable MTTD/MTTR gains.

1

Real-time detection

Suricata-powered deep packet inspection plus ML classification to identify known and unknown threats across L3–L7.

2

Autonomous response

Validates patterns, injects live firewall rules in ms, and auto-expires them to minimize noise and maintain performance.

3

GhostChain memory

Encrypted, peer-to-peer sharing of zero-day signals across nodes—no central choke point. One node learns, all remember.

4

Human-in-the-loop

Confidence thresholds and hold-down timers ensure analysts approve sensitive actions in high-stakes networks.

5

Observable & auditable

Every decision is logged with features, scores, and rationale. Export to SIEM, Slack, email, or JSON forensics.

6

Built for performance

Written in Python with C-accelerated paths where it counts, leveraging Suricata’s battle-tested engine and NFQUEUE.

Live Alerts Pipeline

[AI] Threat detected: 192.168.0.12 → port_scan_variant_B
Confidence: 0.992
Action: Alert + Log
↳ write alerts.json; push Slack; export to SIEM

Automated Rule Injection

[FIREWALL] rule injected → DROP src 192.168.1.45 dst ANY
Confidence: 0.987  | TTL: 60m | Reason: lateral_movement_pred
Auto-revert on: clean window + analyst approval

Architecture

Transparent network insertion with optional inline enforcement.

Suricata DPI + NFQUEUE ML Classifier & Policy Thresholds & Explain Rule Injection Slack / Email SIEM / JSON GhostChain Sync

Key capabilities

  • Inline or TAP/SPAN deployment; start in observe-only.
  • Confidence-scored actions; human approvals for sensitive steps.
  • Auto-expiring rules with adaptive TTLs and safety checks.
  • Zero trust posture; least-privilege processes and secrets.
  • Full audit trail; export to your SIEM and ticketing.
  • Peer-to-peer encrypted signature sync (GhostChain).

Roadmap

From passive detection to autonomous, distributed defense.

Phase I — Detection

Passive observer mode. ML classification tied to Suricata, confidence-scored alerts to Slack/JSON/SIEM.

> suricata -c /etc/suricata/config.yaml
[AI] Threat detected: 192.168.0.12
Action: Alert + Log | Confidence: 99.2%

Phase II — Response

Validated patterns trigger live rule injection within milliseconds; rules auto-revert unless reconfirmed.

[FIREWALL] DROP src 192.168.1.45 dst ANY
Confidence: 98.7% | TTL: 60m

Phase III — Evolution

Agent self-tunes thresholds based on outcomes; adds behavior patterns; improves precision over time.

- threshold = 0.90
+ threshold = 0.95 // after FP review
+ add_behavior_pattern('port_scan_variant_B')

Phase IV — GhostChain

Encrypted, peer-to-peer sharing of zero-day indicators and models. One learns; all benefit.

[NODE 07F3] recv from 11C9 → ZX9-HYDRA
Confidence: 99.1% | Signature Shared: ✓

Security, Privacy, and Compliance

Enterprise-grade controls from day one.

Built-in assurances

  • Role-based access with SSO (SAML/OIDC) planned for GA.
  • Encrypted at rest and in transit; keys rotated automatically.
  • Minimal data retention; redaction for PII in logs.
  • Planned audits: SOC 2 Type I → Type II, ISO/IEC 27001.
  • Deployment: on-prem or VPC-isolated, with air-gap option.

Standards & mappings

SOC 2 (planned) ISO 27001 (planned) NIST 800-53 GDPR MITRE ATT&CK

Detailed control mapping available in the data room for qualified investors and design partners.

See GhostWall in action

Request a private demo or join the early access waitlist.

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