Faasera Documentation
Faasera AI Product Overview
Website: https://faasera.ai
Version: 1.0.0
Last Updated: June 2025
What is Faasera?
Faasera is a modular, serverless data compliance platform that uses AI-driven intelligence to detect, protect, and manage sensitive information across modern enterprise data pipelines. Built for real-time scale and regulatory agility, Faasera delivers instant compliance without disrupting your data ecosystem.
Core Value Proposition
- Instant compliance-as-you-go with real-time processing
- AI-powered profiling and masking using heuristic + AI hinting
- Multi-modal deployments for every enterprise environment
- Platform-agnostic SDKs and cloud-native functions
- Privacy-first Copilots and customizable Private GPTs
- Compliance automation without changing how you build
Business Impact & ROI
Faasera is not just a compliance tool — it’s a strategic enabler designed to reduce operational friction, accelerate digital transformation, and lower the cost of data governance.
Key Business Benefits
| Business Objective | How Faasera Helps |
|---|---|
| Accelerate Time-to-Compliance | Automates profiling, masking, validation, and risk scoring — reducing compliance efforts by up to 60% |
| Reduce Compliance Costs | Eliminates the need for multiple tools and manual reviews — up to 40% reduction in tooling and audit spend |
| Enable Faster Innovation | Developers can work with safe, production-like data instantly — 50% faster go-to-market for AI/ML, analytics, and testing |
| Minimize Data Breach Risk | Deterministic masking + real-time validation significantly reduces exposure in non-production and analytics environments |
| Strengthen Trust & Governance | Transparent audits, AI explainability, and risk scoring create board-level visibility into data privacy operations |
| Scale Without Overhead | Serverless architecture and SDK integrations ensure zero-friction scaling across cloud, on-prem, and hybrid deployments |
💡 Faasera acts as a data trust layer, embedding compliance directly into the way teams work — without slowing them down.
Where Faasera Fits in the Enterprise
- CIO / CISO / DPO: Gain real-time visibility, risk scoring, and automated audit recommendations
- Data Engineers / Architects: Integrate privacy enforcement directly into pipelines without tool sprawl
- Compliance & Legal: Use Private GPTs and dashboards to monitor exposure and generate on-demand reports
- Developers / AI Teams: Safely build and test with synthetic or masked data, instantly provisioned
Key Features
| Category | Feature | Description |
|---|---|---|
| Profiler | AI-Driven Entity Recognition | Combines AI Hinting (via LLMs) and Heuristics (NLP, checksum, regex) for precision profiling |
| Masking | Real-Time Masking | Deterministic + Non-deterministic masking to maintain referential integrity |
| Flexible Policies | JSON/YAML-based masking and profiling policies for full control | |
| DataOps | Synthetic Data Generation | Generate realistic, lineage-aware synthetic datasets |
| Data Validation | Detect anomalies post-masking (e.g., ransomware-induced drift) | |
| Data Transformation | Normalize, concatenate, or derive fields during masking | |
| Risk & Governance | Risk Scoring Engine | Assign risk scores to datasets, columns, and environments |
| Audit Recommendations | Suggest actions to minimize exposure and meet regulatory benchmarks | |
| AI Assistants | Compliance Copilot | Conversational AI for governance, discovery, and mapping tasks |
| Private GPTs | Domain-specific LLMs for regulated industries (e.g., finance, healthcare) |
Multi-Modal Deployment Options
| Deployment Mode | Description |
|---|---|
| Cloud Functions | Lightweight masking, validation, or profiling endpoints via AWS Lambda, Azure Functions, GCP |
| SDK (Java, PySpark) | Embedded SDKs for platforms like Apache Spark and Databricks |
| REST API | Fully-documented APIs for pipeline orchestration and real-time invocation |
| Plugins | Connectors for platforms like Apache NiFi, Azure Data Factory, Airflow |
| UI Platform | All-in-one visual platform for non-technical users — manage projects, run jobs, monitor pipelines |
Note: Each deployment mode supports a tailored feature set. See the Feature Support Matrix below.
Feature Support Matrix (by Component)
| Feature | UI Platform | API | SDK | Spark SDK | Cloud Function | Plugin |
|---|---|---|---|---|---|---|
| AI Profiler (Heuristic) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| AI Profiler (LLM Hint) | ✅ | ✅ | ✅ | ❌ | ⚠️ Optional | ❌ |
| Metadata (Change Detection) | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| Masking (Deterministic) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| Synthetic Data Gen | ✅ | ✅ | ✅ | ⚠️ Partial | ❌ | ❌ |
| Data Validation | ✅ | ✅ | ✅ | ⚠️ Partial | ✅ | ⚠️ Plugin-specific |
| Risk Scoring & Audit | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
| Private GPT / Copilot | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
| Policy Management | ✅ | ✅ | ⚠️ Read-only | ⚠️ Read-only | ❌ | ❌ |
| Job Execution Control | ✅ | ✅ | ❌ | ❌ | ⚠️ Trigger-based | ✅ |
✅ = Fully supported & available
⚠️ = Partially supported or limited
❌ = Not available
Integrations
Faasera supports integration across:
- Cloud Platforms: AWS, Azure, GCP, IBM Cloud
- ETL Tools: NiFi, Data Factory, Airflow, Pentaho DI
- Data Warehouses: Snowflake, BigQuery, Redshift, Starburst
- Execution Engines: Spark, Databricks
- Files: Mainframe(EBCDIC), CSV, Parquet, JSON, XML, AVRO
- Databases: Oracle, MS SQL, PostgreSQL, MySQL, MongoDB and Other JDBC Compliant
Compliance Coverage
Supports automated compliance alignment with:
- GDPR
- HIPAA
- CCPA
- PDPA
- PCI-DSS
- AU Privacy Act
- NIST Frameworks
Visual Overview
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