See why it was flagged
Follow a finding back to its original log entry and matched pattern. Review probing, injection attempts, suspicious user agents, and other supported detections.
Evidence you can inspectTurn noisy logs
into useful answers.
Find suspicious activity without reading every line. LogGuard AI combines log evidence, FraudGuard IP intelligence, and AI review to give your team a clearer starting point for investigation.
REQUEST EXCERPTS
198.51.100.42GET /.env403GET /config.json404GET /.git/config403 Explore the context
01 / MATCHED PATTERNReview
Sensitive files being probed.
These paths match reconnaissance patterns. The original log entries show exactly what was requested and how the server responded.
Web reconnaissanceOriginal log evidence
Less time reconstructing the picture
Find the lead.
Keep the evidence.
Bring the request, the source,
and the reason it was flagged together.
Put the source in context
Add FraudGuard threat intelligence, network details, and geography to the request. An IP address becomes a more useful investigation lead.
FraudGuard intelligence, alongside your logsFocus your next review
Search findings, review recent activity, and see which sources recur most often. Use AI review status as another signal for prioritization.
A clearer place to startBuilt for the follow-up question
From “what is this?”
to “where else?”
Search an IP, a request path, or an attack classification. Trace findings to their source files and bring the results into the tools your team already uses.
Account-scoped APIs give you the evidence, context, and review status to build your own investigation workflow.
Follow the evidenceINVESTIGATION APIs
01Find the related activity
Search log entries, IPs, patterns, and threat labels.
See what appeared recently
Review the latest findings in your dataset.
Spot recurring sources
Rank source IPs by how often they appear in findings.
Your dataset. Searchable evidence. A workflow you control.
Start with the logs you already collect
Your data.
A more useful first pass.
- 01 / CONNECT
Scope your log delivery.
We review your log format, volume, and goals, then configure the ingestion path for your deployment.
Web · Application · Load balancer logs - 02 / ANALYZE
Connect the signals.
Identify supported attack patterns, add FraudGuard IP context, and route eligible findings for AI review.
Log evidence + IP intelligence + AI - 03 / INVESTIGATE
Put findings to work.
Retrieve and search results through the APIs. Give analysts the context to investigate and choose a response.
Your team makes the decision
AI assists the investigation. Review model output alongside the original evidence and your own knowledge of the environment.
Which log sources can we use?
Start with web, application, or load balancer logs. We’ll review your format, available fields, and volume to confirm supported analysis. Coverage depends on the evidence your logs contain.
How do we get our logs into LogGuard AI?
Ingestion is configured during onboarding, with S3 delivery as the current path. We’ll agree on the format, connection, and data-handling requirements with you before processing begins.
What does a finding include?
Findings can include the original log entry, source file, matched pattern, attack classification, IP threat and network context, and AI review status. Available detail depends on the source data and enrichment.
Does AI confirmation mean an attack succeeded?
No. It is a model assessment of suspicious activity, not proof of compromise. A blocked or failed request can still be worth investigating. Check the original evidence before taking action.
Where is our log data processed and stored?
The hosted offering processes and stores log entries in your FraudGuard account’s dataset. Deployment options have different data flows, including data sent for AI analysis. We’ll confirm processing, storage, retention, and redaction requirements with you during scoping.
Is LogGuard AI included with a standard plan?
LogGuard AI requires activated Enterprise access and is scoped and quoted separately. Pricing reflects your data volume, delivery model, and support needs. Contact our team to discuss your environment.
Get more from the logs you collect
Give your team
a better starting point.
Tell us what you log and what you need to find.
We’ll help shape the right analysis workflow.