AI Security for SMBs · APRA CPS 234 · ASD Essential 8 · Privacy Act 1988

Your team is already
sending data to AI.
You just can't see it.

Stack Breach monitors outbound AI calls from company devices to detect shadow AI. Built specifically for mid-market and growing companies (50–500 employees) without a dedicated compliance department. Secure your audits, map PII risks, and generate compliance evidence packs in one click — all for a fraction of the cost of enterprise compliance suites.

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Early Adopter Pricing · Flat $200 - $500/month based on team size. Save over $45,000/year vs enterprise suites.

88%

SMBs experiencing AI incidents

19 min

Mean time-to-alert (critical)

Flat Rate

$200 - $500/mo tailored for SMB budgets

< 5 min

Time to instrument a new device

The problem

No compliance team? You still hold the liability.

Employees at mid-sized firms are pasting customer records, medical transcripts, legal briefs, and proprietary source code into ChatGPT, Claude, and unapproved Chrome extensions to get work done faster. Without a dedicated compliance team or DPO, IT managers and Ops leads are left flying blind — finding out about breaches only when a regulatory auditor asks questions nobody can answer.

  • Zero visibility into which AI tools or browser extensions employees install
  • Sensitive customer PII and corporate IP leaking to public training models
  • No audit trails or compliance maps for APRA CPS 234, GDPR, or Privacy Act audits
  • Enterprise monitoring platforms cost $50,000/yr and require weeks of setup
The solution

Automated AI discovery. Auditor-ready reports.

Stack Breach intercepts AI traffic across your devices and browser sessions without proxying your data or reading raw text. We map egress metadata directly to regulatory controls, alerting you to PII leaks in real time and packaging compliance proofs into clean, auditor-ready evidence packs.

  • 6 capture agents (Extensions, SDKs, Webhooks) deployable in under 5 minutes
  • Real-time alerts on PII, PHI, and source code leaks to unapproved models
  • Automated compliance mapping for APRA, Privacy Act 1988, ASD Essential 8, GDPR, SOC 2
  • One-click evidence packs formatted directly for compliance auditors

Deploy in 5 minutes. No complex configuration.

We designed our telemetry collection to be simple enough for a single IT manager to manage, keeping overhead low and deployment fast.

01

Browser extension

Installs in seconds via Chrome or Edge MDM group policies. Catches web-based AI usage before data leaves the browser.

02

Network proxy agent

Lightweight gateway monitor logs outbound AI endpoints at the network boundary without decrypting raw text.

03

SDK wrapper

Drop-in developer workstation integration audits API keys and model dependencies automatically.

04

SaaS webhooks

Connects directly to Microsoft 365 Copilot, Google Workspace AI, Slack AI, and Salesforce Einstein.

05

Host agent

OS-level daemon for local servers and developer environments. Monitors local AI executions like Ollama.

06

API gateway plugin

Integrates with NGINX or AWS API Gateway to audit production-level AI queries at the infra layer.

Compliance features built for busy IT & Ops managers

Say goodbye to parsing raw logs or spending weeks building compliance templates. Stack Breach automates the heavy lifting.

Unified discovery feed

Live operational view of every AI connection, model risk level, and data retention policy in use across your organization.

Real-time leakage alerts

Instant notifications via email or Slack when a user transfers protected PII, financial details, or API tokens to public models.

One-click evidence packs

Export cryptographically-signed PDF reports demonstrating active compliance controls to auditors in under 60 seconds.

Compliance control center

Map active telemetry rules directly to requirements in APRA CPS 234, ASD Essential 8, GDPR, HIPAA, and SOC 2.

Risk posture reporting

Simple department-level benchmarking shows your risk posture relative to industry standards — ready for board updates.

Incident timelines

Trace exactly when data was exposed, which employee initiated the transaction, and the risk categorization of the destination AI.

Actionable views, no matter your role

Stack Breach simplifies operations by displaying information mapped to your business focus.

IT Manager / Admin

Primary
  • Active AI connections
  • Open violations
  • Telemetry agents
  • Audit pack status

Full operational visibility over browser, network, and SaaS connections. Instant alerts and one-click PDF audit exports.

Operations & COO

Business
  • Overall risk score
  • Data leak occurrences
  • Active policy exemptions
  • Auditor dashboard

Strategic view of regulatory liability, exception workflows, and board-ready security summaries.

External Auditor

Auditor
  • Signed evidence items
  • Active controls map
  • Last review date
  • Crypto check

Auditor portal with read-only access to immutable telemetry logs and framework compliance maps.

Secure your staging slot today.

Join the early adopter waitlist to secure a 14-day free trial and a 30% lifetime discount on our SMB flat tiers.

Get Free Guides

Early Adopter Offer · 14-day free trial & 30% lifetime discount

Compliance Resources

Establish guidelines. Audit compliance.

Download our expert compliance resources immediately to assess your current Shadow AI risk posture. No waitlist survey required for PDF downloads.

📋
Compliance Mapped

Generative AI Acceptable Use Policy Template

Corporate Policy Framework

A ready-to-use policy document defining approved AI providers, data classifications, and employee guidelines. Mapped to APRA CPS 234, Privacy Act 1988, and GDPR.

🔍
Technical Guide

CISO's Shadow AI Audit & Discovery Checklist

Self-Guided Security Audit

Step-by-step technical checklist to search browser histories, firewall logs, local processes, and code dependencies for hidden AI tool usage.

📊
Audit Ready

The AI Compliance Framework Matrix

Regulatory Control Reference

Detailed matrix mapping specific sections of APRA CPS 234, ASD Essential 8, GDPR, HIPAA, and SOC 2 to their respective Generative AI data risks.