# SinAInsight — Predictive Intelligence for a Resilient World (Full)

> European-born cybersecurity & observability platform uniting SinAShield Pre-SIEM and SinAApp Predictive Observability under one mission: anticipate instead of react.

> Summary version: https://www.sinainsight.pro/llms.txt

## Company Overview

SinAInsight is a European-born, sovereignty-ready cybersecurity and observability ecosystem. Founded in 2024, it provides predictive intelligence solutions for enterprises across Banking & Finance, Telecommunications, Public Sector, and Cybersecurity/SOC Operations. All data is hosted and processed within the European Union, fully compliant with NIS2, DORA, ISO 27001, SOC 2, and GDPR.

- Website: https://www.sinainsight.pro
- Contact: contact@sinainsight.eu
- LinkedIn: https://www.linkedin.com/company/sinainsight
- Headquarters: European Union
- Founded: 2024
- Sector: Cybersecurity & Observability
- Slogan: "Predictive Intelligence for a Resilient World"

## Products

### SinAShield — Pre-SIEM Intelligence Layer

SinAShield is a Pre-SIEM intelligence layer that sits upstream of your existing SIEM (Splunk, QRadar, Sentinel, Elastic). It processes up to 4.33 billion events per day through a 6-stage pipeline:

1. **Parsing**: Timestamp normalization, format validation, field extraction (200+ log formats including syslog, CEF, LEEF, JSON, XML, CSV, W3C, custom)
2. **IOC Correlation**: Real-time threat intelligence matching against MITRE ATT&CK framework, STIX/TAXII feeds, and internal IOC databases. Supports correlation across IP, domain, hash, URL, email, certificate indicators.
3. **Deduplication**: Intelligent event merging using temporal windows and similarity scoring — reduces volume without losing forensic context or breaking event chains
4. **Enrichment**: GeoIP geolocation, asset inventory lookups, Active Directory user context, CVSS risk scoring, WHOIS, and DNS enrichment appended to each event
5. **Filtering**: ML-powered Triple Vote AI consensus engine (Random Forest, Isolation Forest, XGBoost) eliminates 68% of noise with <0.01% false negative rate
6. **Routing**: Priority-based forwarding to SIEM, archive, SOAR, or SOC dashboards in OCSF, ECS, and CEF output formats

**Performance Metrics:**
- 68% noise reduction before SIEM ingestion
- 60% SIEM cost savings (license + storage + compute)
- 43ms average end-to-end processing latency
- 4.33 billion events/day peak capacity
- 99.99% pipeline uptime
- <0.01% false negative rate

**Supported SIEMs:** Splunk, IBM QRadar, Microsoft Sentinel, Elastic Security, Google Chronicle, LogRhythm, Sumo Logic, Exabeam

**Output Formats:** OCSF (Open Cybersecurity Schema Framework), ECS (Elastic Common Schema), CEF (Common Event Format)

**Deployment Model:** On-premise, private cloud, hybrid — integrates into existing SIEM pipeline in under 6 weeks through a proven 5-phase methodology (Discovery → PoC → Pilot → Enterprise Rollout → Managed Services).

**Patent:** INPI registered innovation (Pre-SIEM Triple Vote AI filtering methodology)

Learn more: https://www.sinainsight.pro/sinashield
Live dashboard: https://sinashield.sinainsight.eu/dashboard/executive

### SinAApp — Predictive Observability Platform

SinAApp is an agentless predictive observability platform that monitors real user experience and prevents incidents before they happen.

**Architecture:**
- Three-tier pipeline: probes → smart collector → ML analytics engine
- Zero-install agentless deployment model
- Real User Monitoring (RUM) with synthetic monitoring capabilities
- Business-IT correlation engine linking IT metrics to revenue impact

**Key Capabilities:**
- Real User Monitoring (RUM) — page load, transaction response, error rates, user journeys
- ML-powered anomaly detection using statistical baselines and pattern recognition
- Incident prediction: detects degradation trends 15–30 minutes before user impact
- Automated root cause analysis (RCA) across application, infrastructure, and network layers
- Business impact dashboards correlating IT metrics with revenue, conversion, and SLA
- Multi-cloud and hybrid infrastructure support
- Finance sector case study: real-time detection of payment gateway degradation

**Performance Metrics:**
- 93% MTTR improvement
- 97% alert noise reduction
- 99.97% availability
- Deploy in under 4 hours (agentless)
- <500ms data collection latency

**Compliance:** NIS2, DORA, ISO 27001, GDPR compliant, European sovereign solution.

Learn more: https://www.sinainsight.pro/sinaapp
Live demo: https://sinaapp.sinainsight.eu/login

## Technical Architecture — SIEM Reference

The SIEM Reference Architecture provides a complete technical deep-dive into:
- 6-stage Pre-SIEM pipeline internals
- Before/after ROI analysis with real customer data
- Throughput benchmarks at scale
- Integration patterns for major SIEM platforms
- Data flow diagrams and infrastructure requirements
- Triple Vote AI model architecture and training methodology

Learn more: https://www.sinainsight.pro/siem-reference

## Triple Vote AI — Machine Learning Engine

SinAShield's core intelligence layer uses a Triple Vote consensus algorithm:

1. **Random Forest** — Ensemble decision trees trained on labeled security events, optimized for precision
2. **Isolation Forest** — Unsupervised anomaly detection identifying outliers in high-dimensional log data
3. **XGBoost** — Gradient-boosted classification with feature importance ranking for explainability

An event is classified as "noise" only when at least 2 of 3 models agree, ensuring:
- 68% noise reduction with <0.01% false negatives
- Explainable decisions with per-model confidence scores
- Continuous learning from SOC analyst feedback loops

## Industries Served

- **Banking & Finance**: SOC optimization, fraud detection, payment gateway monitoring, NIS2/DORA compliance, regulatory reporting
- **Telecommunications**: Network observability at scale, real-time threat detection, massive log processing (billions of events/day), service quality monitoring
- **Public Sector**: Sovereign cybersecurity, ANSSI compliance, data residency guarantees, citizen data protection, inter-agency threat sharing
- **Cybersecurity & SOC**: SIEM cost reduction, alert fatigue elimination, threat intelligence enrichment, MITRE ATT&CK mapping
- **Energy & Critical Infrastructure**: OT/IT convergence monitoring, SCADA security, supply chain threat detection

## Compliance & Sovereignty

SinAInsight is built, hosted, and operated entirely within the European Union:
- NIS2 Directive compliant (Digital Network and Information Security)
- DORA (Digital Operational Resilience Act) compliant
- ISO 27001 certified (Information Security Management)
- SOC 2 Type II (Service Organization Controls)
- GDPR compliant by design (data never leaves EU borders)
- ANSSI qualified (French National Cybersecurity Agency)
- Not subject to US CLOUD Act or FISA
- End-to-end AES-256 encryption at rest and TLS 1.3 in transit

## Deployment Methodology — 5 Phases

1. **Discovery** (Week 1-2): Infrastructure audit, data source inventory, compliance requirements mapping
2. **PoC** (Week 3-4): Controlled deployment with sample data, baseline metrics, initial ROI projection
3. **Pilot** (Week 5-8): Production subset deployment, SOC team training, fine-tuning Triple Vote AI
4. **Enterprise Rollout** (Week 9-12): Full-scale deployment, monitoring, optimization
5. **Managed Services** (Ongoing): 24/7 monitoring, continuous ML model updates, quarterly business reviews

## Differentiators vs. Competitors

| Feature | SinAInsight | US-based vendors |
|---------|-------------|-----------------|
| Data sovereignty | EU-only, not subject to CLOUD Act | US jurisdiction, FISA-exposed |
| Pre-SIEM layer | Yes (SinAShield) | No (ingest everything) |
| Predictive observability | Yes (SinAApp) | Reactive only |
| Deployment speed | 4 hours (SinAApp) / 6 weeks (SinAShield) | Months |
| NIS2/DORA native | Yes | Partial or add-on |
| Triple Vote AI | Patented 3-model consensus | Single model or rules-based |

## Videos

- SinAShield Pre-SIEM — Executive Overview: https://www.sinainsight.pro/videos/sinashield-video.mp4
- SinAShield Pre-SIEM — Cinematic Presentation: https://www.sinainsight.pro/videos/sinashield-cinematic.mp4
- SinAApp — Predictive Observability Platform: https://www.sinainsight.pro/videos/sinaapp-video.mp4

## Blog & Resources

Expert articles on cybersecurity, Pre-SIEM architecture, predictive observability, and European compliance:

- https://www.sinainsight.pro/blog/presiem-revolution — The Pre-SIEM Revolution: Why filtering before your SIEM changes everything
- https://www.sinainsight.pro/blog/predictive-observability — Predictive Observability Guide: From reactive to predictive
- https://www.sinainsight.pro/blog/nis2-compliance-guide — NIS2 Compliance Guide: What enterprises need to know
- https://www.sinainsight.pro/blog/siem-cost-optimization — SIEM Cost Optimization: Reducing license costs by 60%
- https://www.sinainsight.pro/blog/soc-modernization — SOC Modernization: The next-generation security operations center
- https://www.sinainsight.pro/blog/european-data-sovereignty — European Data Sovereignty: Why it matters for cybersecurity

## FAQ

**What is a Pre-SIEM?**
A Pre-SIEM is an intelligence layer that sits upstream of your SIEM. It normalizes, enriches, correlates, and filters security events before they reach your SIEM — reducing ingestion volume by 68% and costs by 60%. Unlike a SIEM, it doesn't store events — it purifies and routes them.

**How does SinAShield reduce SIEM costs by 60%?**
SinAShield processes events through a 6-stage pipeline that eliminates 68% of noise before SIEM ingestion. Since most SIEMs charge based on data volume (GB/day or EPS), reducing ingestion by two-thirds translates directly to ~60% savings on licensing, storage, and compute.

**What is predictive observability?**
Predictive observability uses machine learning to detect anomalies and predict incidents 15-30 minutes before they impact users. SinAApp deploys agentlessly in under 4 hours, monitors real user experience (RUM), and correlates IT metrics with business outcomes (revenue, conversion rates).

**Is SinAInsight compliant with European regulations?**
Yes. SinAInsight is built, hosted, and operated entirely within the EU. Both products comply with NIS2, DORA, ISO 27001, SOC 2, and GDPR by default. Data never leaves EU borders. SinAInsight is not subject to US CLOUD Act or FISA.

**Can SinAShield integrate with existing SIEMs?**
Yes. SinAShield outputs in OCSF, ECS, and CEF formats with pre-built connectors for Splunk, IBM QRadar, Microsoft Sentinel, Elastic Security, Google Chronicle, LogRhythm, and others. It enhances your existing SIEM investment.

**What industries does SinAInsight serve?**
Banking & Finance, Telecommunications, Public Sector, Energy & Critical Infrastructure, and Cybersecurity/SOC operators. Each industry has tailored use cases and compliance requirements.

**How does the Triple Vote AI work?**
Three ML models (Random Forest, Isolation Forest, XGBoost) independently analyze each event. An event is classified as noise only when at least 2 of 3 models agree, ensuring high precision with <0.01% false negatives.

**What deployment options are available?**
On-premise, private cloud, or hybrid deployment. SinAApp deploys in under 4 hours (agentless). SinAShield integrates in under 6 weeks through a 5-phase methodology.