From raw alert to actionable decision.
GuardBolt runs a coordinated pipeline of AI agents, with a human always in the loop.
- 01Step 1
Dispatch
Alerts are pulled from your SIEMs and normalized into a single format.
- 02Step 2
Anonymize
Personal data (names, emails, IDs) is masked before any processing.
- 03Step 3
Analyze
Each alert is enriched with threat intelligence, correlated, classified, and given a justified verdict with recommended actions.
- 04Step 4
Coach
Senior decisions are captured to continuously improve the AI and train junior analysts.
GuardBolt Platform — Architecture Overview
Security Data
Sources
alerts
Dispatcher
Ingest & Normalize
- • Collect alerts from all SIEMs
- • Normalize alert formats
- • Deduplicate & enrich events
- • Queue for analysis
Anonymizer
GDPR-Compliant Masking
- • Detect PII in alert payload
- • Mask users, hosts, IPs, emails
- • Preserve analytic context
- • Reversible handoff for humans
Analyzer
AI-Powered Triage
- • Enrich with Threat Intel
- • Correlate similar alerts & events
- • LLM-based decision & rationale
- • Suggest mitigation actions
- • Trigger response playbooks
Suspicious login detected — anomalous geo-IP.
AI: Block & Investigate
SOC Human Analyst
- ● Approve / Reject
- ● Rate performance
- ● Calibrate autonomy
4. Validation & Calibration (Optional)
actions
Client IT
Platforms
One place to run it all.
Configure agents, monitor every run, review AI decisions, and manage clients and tenants — all from a single web interface.
Works with your existing stack.
Native connectors for the SIEMs and threat-intel sources your team already uses.