The request is scored before origin processing
Peakhour evaluates incoming addresses against managed reputation sets and request context before traffic reaches application infrastructure.
IP Intelligence
IP Reputation That Holds Up Under Attack
Each request is evaluated with reputation, proxy status, credential exposure, device history, behaviour, and request context so edge decisions remain reliable when threat infrastructure rotates.
IP Signals Need Context Before They Become Decisions
Attack traffic now shifts rapidly across hosting providers, residential proxies, and short-lived infrastructure. Reputation becomes operationally useful when it is interpreted with device, credential, behaviour, and event context in the same decision path.
Infrastructure Changes Faster Than Static Rules
Botnets, proxy services, and compromised endpoints rotate addresses continuously, so standalone deny lists decay quickly without supporting signals.
High-Volume Traffic Hides Useful Patterns
Large request volumes make manual analysis impractical unless risk factors are normalized into a single evaluable path.
Late Decisions Increase Exposure
When teams identify malicious behaviour after origin processing, attackers have already consumed resources and expanded impact.
Reputation Drives Action at the Edge
Peakhour enriches each request with IP reputation and combines it with RESIP, credential, device, behaviour, and event signals so policy can allow, challenge, block, or log with explainable evidence.
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Continuously Updated Threat Coverage
A managed intelligence graph tracks more than 900 million IPs across 22+ categories and updates as infrastructure behaviour changes.
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Policy That Matches Risk Appetite
Threat categories can be enforced directly or combined with companion signals for selective challenge, block, and allow behaviour.
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Operational Feedback in the Same Loop
Decision outcomes remain attached to their inputs, making tuning, incident review, and downstream security workflows faster and clearer.
Live request evidence
Live Evidence Connects Signal to Enforcement
IP intelligence is most useful when the request, policy decision, and output evidence stay connected. This dashboard capture shows the blocklist result beside category, severity, and action code for immediate verification.
Edge risk evaluationRequest signal, policy action, and explainable output stay attached to the same event.
Policy maps the match to a clear action
When the address matches the webattacks list, policy denies the request with an explicit action code rather than an opaque failure.
Teams can validate and tune without guesswork
The resulting event preserves enough context for policy tuning, customer-impact review, and export into broader security operations.
Related evidence
IP Risk Decisions Proven in Production
Customer examples that connect Peakhour controls to production outcomes.
Stone & Chalk
Fintech Hub Enterprise Security
How Australia's leading fintech hub secured hundreds of startups with enterprise-grade application security, zero-day vulnerability protection, and comprehensive threat management.
Enterprise Grade Security
Improved Web Performance
Zero-Day Threat Protection
Read case study
National Gallery Australia
Government Security Compliance & Bot Management
How Australia's National Gallery achieved government security compliance with advanced bot management, DDoS protection, and content scraping controls whilst improving digital visitor experience.
48% Reduction in Image File Sizes
Improved Largest Contentful Paint
Full Government Security Compliance
Read case study
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