Real-Time Incident Triage for Checkout & Payments
AI-Powered Root Cause Analysis Using Amazon Bedrock & OpenSearch
Detect, summarize, and resolve checkout incidents in seconds — without exposing PII or sensitive logs.
Built for high-volume commerce and mission-critical payment flows.
Why Traditional Monitoring Fails
Legacy observability tools weren't built for modern commerce complexity
Logs are slow to search and hard to correlate
Traditional log aggregation tools struggle with real-time queries across distributed systems, leading to delayed incident detection.
Dashboards expose sensitive payment data
Shared monitoring dashboards often display PII and payment information, creating compliance and security risks.
On-call teams waste time chasing false signals
Alert fatigue from noisy monitoring systems causes teams to miss critical incidents while investigating false positives.
Incident context is fragmented across tools
Engineers must manually piece together information from multiple platforms, slowing down root cause analysis.
SnapTec's Differentiated Solution
AI-Driven Incident
Intelligence
Designed for teams who care about uptime, security, and compliance. Our
platform combines cutting-edge AI with enterprise-grade security.
Semantic indexing of logs
Advanced vector search capabilities enable natural language queries across millions of log entries, finding relevant incidents based on meaning, not just keywords.
Bedrock-powered reasoning
Large language models analyze incident patterns and generate human-readable root cause summaries, reducing mean time to resolution by 70%.
PII-safe ingestion
Automated data sanitization pipeline strips sensitive information before indexing, ensuring compliance with GDPR, PCI-DSS, and SOC 2 requirements.
API-only access model
Programmatic access eliminates shared dashboard risks. Teams query incident data through authenticated APIs with granular permission controls.
Deterministic outputs
Structured JSON responses with confidence scores and evidence trails ensure auditability for post-incident reviews and compliance reporting.
Operational Impact
Production-grade observability at scale
Faster triage, fewer missed incidents
3.2x
improvement in MTTR (Mean Time To Resolution)
PII minimized by design
100%
compliant ingestion with zero PII exposure
Technical Capabilities
Enterprise-Grade Features
Built on battle-tested infrastructure with the flexibility to adapt to your unique requirements
Real-Time Stream Processing
Ingest and analyze logs at 100K+ events per second with sub-second latency using Apache Kafka and AWS Kinesis.
Zero-Trust Security Model
End-to-end encryption, role-based access control, and automated credential rotation ensure your data stays protected.
Predictive Anomaly Detection
Machine learning models identify unusual patterns before they become incidents, enabling proactive response.
Collaborative Incident Response
Built-in runbooks, automated escalation workflows, and Slack/PagerDuty integrations streamline team coordination.
Intelligent Data Retention
Tiered storage automatically archives cold data to S3 Glacier while keeping hot data in OpenSearch for instant access.
Custom Analytics Dashboards
Build tailored visualizations with our GraphQL API and embed them directly into your existing monitoring tools.
Need a custom integration?
Our engineering team can build tailored connectors for your existing infrastructure. From legacy systems to cutting-edge platforms.
