Early Access — Now Open

Data Governance That
Actually Gets Done

Aegis Shield automatically runs quality checks, detects sensitive data, and enforces retention policies — the moment a file lands. No YAML. No dedicated engineers. No six-month implementation.

Request Early Access → See What It Does
✓ 6 automated quality checks
✓ PII & financial data detection
✓ Retention & classification tagging
✓ Webhook alerts on failure
🛡 AEGIS SHIELD — gryphondataprocessing.com
Dashboard
Connections
Audit Log
Tables
orders_2024
customers_pii
transactions
8
Tables
142k
Total Rows
12
Sensitive Fields
5
Events (24h)
Database Tables
orders_2024
Internal
42,301 rows · 8 cols
customers_pii
Restricted
⚠ 4 sensitive · 18,500 rows
transactions
Confidential
81,200 rows · 12 cols
What's Inside

Everything a Data Team
Needs to Stay Compliant

Six quality checks run automatically on every upload. No configuration required. Results appear in seconds, not after a CI job you'll forget to check.

🔍
6 Automated Quality Checks
Null detection, schema validation, duplicate rows, value ranges, allowed values, and regex format checks — all run the moment a file is uploaded.
not_null schema duplicates range regex
🛡
Sensitive Data Detection
Automatically flags PII and financial data across 15 profiles — SSNs, card numbers, emails, phone numbers, salary data, and more. Detection works on both column names and actual values.
PII Financial 15 profiles
🗂
Data Classification & Retention
Tag every table with a classification tier (Public, Internal, Confidential, Restricted), set a retention period, assign an owner, and get alerted before destruction dates pass.
Restricted Confidential Retention
📈
Check History & Trend Tracking
Every quality check run is persisted. View a sparkline of pass/fail rates over time and drill into any historical run to see exactly which checks failed and why.
History Sparkline Trend
🔔
Webhook Alerts on Failure
Connect to Slack, Microsoft Teams, or any HTTP endpoint. When an ERROR-severity check fails, your team gets notified immediately — no dashboards to remember to check.
Slack Teams HTTP POST
📋
Full Audit Log
Every upload, delete, login, and governance change is timestamped and attributed to a named user. Export to CSV for compliance reviews, auditor requests, or internal investigations.
Timestamped CSV Export User Attribution
🔌
Database & S3 Connections
Save and manage named connections to PostgreSQL databases and Amazon S3 buckets. Test connectivity, set an active source, and credentials are stored securely.
PostgreSQL Amazon S3 Encrypted
🔬
Null Sample Drill-Down
Don't just know a column has nulls — see the actual rows. Aegis surfaces up to 10 example records per null column so you can diagnose root causes immediately.
Row Samples Drill-Down
How It Works

From Upload to Governance
in Four Steps

No YAML files. No pipeline configuration. No dedicated data engineer needed.

01
Upload a CSV or Connect a Source
Drag and drop a CSV file or connect directly to a PostgreSQL database or S3 bucket. Aegis reads the data automatically.
02
Checks Run Automatically
Six quality checks and sensitive data detection run instantly. Results appear in seconds with pass/fail status and failure rates per column.
03
Classify and Tag
Assign a classification tier, set a retention period, name a data owner, and add handling notes — all from the Governance tab.
04
Monitor and Alert
Re-run checks on a schedule or on demand. When something fails, your team receives an instant Slack or Teams notification.
Who Uses Aegis Shield

Built for Teams Who Handle
Sensitive Data Seriously

Whether you're preparing for a compliance audit, onboarding vendor data, or building data discipline into your team — Aegis Shield fits into your workflow.

Data Engineer
Validate every pipeline output before it reaches downstream systems
Use Aegis as a quality gate in your Airflow DAGs or Lambda functions. Fail the pipeline automatically when ERROR checks don't pass.
Compliance Specialist
Maintain a living PII inventory without manual spreadsheets
Every upload automatically updates your sensitive data map. Export the audit log and classification inventory for GDPR Article 30 or SOC 2 evidence packages.
Risk Analyst
Catch vendor data quality issues before they corrupt your models
Run every third-party file through Aegis before it touches internal systems. The timestamped quality report becomes part of your vendor acceptance record.
Analytics Lead
Track data quality drift before it breaks reports
Check history shows pass/fail trends over time. A null rate climbing from 2% to 18% month-over-month is visible immediately — not after a broken dashboard.
Post-MVP Roadmap

What's Coming Next

Early access customers shape the roadmap. These features are in active development and prioritised based on design partner feedback.

🎭
Automatic Data Masking
Detected sensitive columns are automatically masked in a separate copy of the table — emails, SSNs, card numbers replaced with safe equivalents. Share data without exposing PII.
In Development
⚖️
Regulatory Risk Tagging
Aegis will identify which privacy regulations each table is at risk of violating — GDPR, HIPAA, CCPA — based on the sensitive fields detected and the data classification assigned.
In Development
📊
Data Audit Reports
Structured, exportable reports designed specifically to answer regulators and leadership. One click generates a governance summary, data lineage snapshot, and quality history — formatted for audit review.
Planned
Early Access

Join the Teams
Shaping Aegis Shield

We're onboarding a small group of design partners — data teams and compliance specialists who want governance tooling that fits how they actually work, not how enterprise vendors think they work.

✓ Full platform access — every feature available today, plus early access to everything on the roadmap
✓ Direct line to the team — your feedback directly shapes what we build next
✓ Early access pricing — design partners lock in preferred rates before general availability
✓ Runs on your AWS stack — deploys in your own account, data never leaves your environment

Request Access