Checkout script changed unexpectedlyshop.example.com/checkout · 4 correlated signals
97AI threat analysisTurn noisy security signals
Turn noisy security signals
into a clear order of action.
SecureFlowGroup groups related evidence, considers exploitability and business impact, then explains why an issue is urgent—or why it can wait.
Evidence-linked prioritiesHuman-readable reasoningSuggested remediationApproval before action
AI priority queue
What deserves attention now
Repeated administrator login attemptsadmin.example.com · 3 correlated signals
86Exposed plugin version with known exploitblog.example.com · 3 correlated signals
81Content Security Policy weakenedwww.example.com · configuration change
64Bot traffic increased on contact formswww.example.com/contact · behavioural anomaly
57How analysis works
Reasoning that stays connected to evidence.
The system should help a person decide—not replace judgement with a mysterious score.
Collect context
Combine scan results, event history, affected assets, recent changes and account context.
Correlate signals
Group events that may be part of the same incident instead of flooding the queue.
Estimate impact
Consider production exposure, authentication, payments, customer data and availability.
Explain priority
Show the evidence, confidence, assumptions and recommended next safe action.
Analyst controls
Useful automation without hiding the decision.
Teams can accept, adjust or reject recommendations and preserve the reasoning for later review.
- Confidence indicatorsKnow when the evidence is strong and when human review is essential.
- Business contextMark critical pages, production assets, data flows and customer-facing services.
- False-positive feedbackRecord why an alert was dismissed so similar signals are handled more intelligently.
- Approval boundariesKeep disruptive response actions behind named owners and permissions.
Priority modelExplainable
ExploitabilityHigh
Asset importanceCritical
Evidence confidenceHigh
Observed impactMedium
Final priority: 97 / 100Payment-page change + privileged access + new third party
Designed for responsible use
AI assists the investigation. People own the outcome.
Recommendations remain reviewable, traceable and reversible wherever an action could affect a live website.
No invented certainty
Low-confidence recommendations are labelled clearly and routed for review.
Evidence always visible
Every priority links back to the signals and assets used to reach it.
Human approval
Blocking, quarantine and recovery actions can require explicit permission.
Audit history
Keep the original signal, recommendation, decision, owner and result together.
Questions
AI analysis, explained.
Does the AI automatically block websites or users?
Not by default. Recommendations can be previewed and require approval before high-impact actions are applied.
Can I see why a finding received its score?
Yes. The page is designed around visible evidence, confidence, asset importance and recommended remediation.
Does it replace a security professional?
No. It reduces repetitive triage and helps people focus on the cases that need judgement.
Can teams correct a bad recommendation?
Yes. Owners can dismiss, reprioritise or add context, preserving the reason in the audit history.
Start with evidence
Run a public website scan, then prioritise what matters.
No login is required for the first passive scan.