Dynamic Api Rate Limiting
Akto's Next Gen API Rate Limits Discovery:
Traditional rate limits require predefined RPM per API. At scale (hundreds of APIs), this is impractical. As organizations evolve, API traffic patterns change, making static limits brittle.
Traffic varies by endpoint (e.g., /cancel-booking vs /book) and over time (e.g., marketing spikes). Akto learns per-endpoint baselines and adapts as patterns shift.
Key Innovations
Adaptive Learning: Learns real usage over time.
Endpoint-Specific Baselines: Builds per-endpoint limits.
Dynamic Adaptation: Adjusts to spikes and longer-term shifts.

How to configure
By default, Akto Threat Protection applies a global rate limit rule.
To change settings, go to Settings → Threat Configuration.
Default Configuration
Global dynamic rule that auto-learns per-endpoint baselines over 2 days. Uses p75 with 20% overflow and 0.5 confidence to throttle anomalies.
Rule Name:
Global Rate Limit RulePeriod:
5 minutesWindow duration
Behaviour:
DynamicUses auto‑learned limits
Baseline Period:
2 daysDays used to learn usage patterns
Percentile:
p75Requests made by 75% of users
Overflow Percentage:
20Allowed burst above baseline
Rate Limit Confidence:
0.5Minimum confidence in learned patterns

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