Open-source core
Install, inspect, and operate the core protection layer in your own environment.
API Abuse Protection
Stop abusive API behavior not just malicious requests.
Proxyble continuously evaluates attackers, bots, users, services, integrations, and AI agents, then applies the right policy as their behavior changes.
- Open Source Core
- Self-Hosted
- No Application Changes
- Data Stays in Your Environment
- AI-Assisted Analysis
- < 1 ms Decisions
Live Attack Story
Real-time attack timeline and Proxyble response
-
Traffic spike detected
Request rate +580% from IP 203.0.113.42
MonitoringProxyble observing -
Credential stuffing detected
Multiple failed logins across accounts
Adaptive throttlingRate limited by 80% -
Attacker adapts
Changes IPs and increases spread
Behavioral fingerprint matchAttacker identified -
Bot rotation continues
New IP range 198.51.100.0/24
Identity quarantinedAll related traffic isolated -
Attack contained
Malicious traffic blocked
Protection enforcedBlocking at the edge -
API stable
Normal traffic restored
Evidence recordedFull logs and context saved
- Attack blocked
- 10:12:12
- Total requests
- 24,183
- Malicious blocked
- 6,742
- False positives
- 0
Deploy protection without giving up control
Proxyble operates inside your environment and works with the infrastructure you already use.
Customer-controlled policies
Your team controls thresholds, exceptions, responses, and enforcement behavior.
Self-hosted
Traffic analysis, policy decisions, and evidence remain inside your infrastructure.
No application changes
Deploy alongside existing proxies, gateways, applications, and network controls.
Real-time decisions
Apply policies with sub-millisecond decision latency and minimal traffic overhead.
API abuse does not always look like an attack
Abuse can come from external attackers, automated systems, or clients that are already authorized.
External attacks
Credential stuffing, brute force, reconnaissance, scraping, enumeration, and application-layer floods.
Authorized client abuse
Users, partners, services, and agents misuse valid credentials or exploit legitimate API workflows.
Operational abuse
Runaway integrations, retry storms, expensive requests, and noisy tenants consume disproportionate resources.
Protect against common API abuse patterns
Apply behavioral controls to malicious attacks, authorized-client abuse, and operational failures.
Credential stuffing
Detect automated login attempts using leaked username and password combinations.
Brute-force attacks
Stop repeated attempts to guess passwords, tokens, identifiers, or access codes.
Account and endpoint enumeration
Identify probing that attempts to discover valid users, resources, routes, and capabilities.
Scraping and data harvesting
Control automated extraction of product data, customer records, content, or proprietary information.
Business logic abuse
Detect misuse of legitimate workflows that creates fraud, loss, or operational disruption.
Abuse with valid credentials
Identify authenticated users, partners, services, or agents behaving outside expected patterns.
Low-and-slow attacks
Detect gradual abuse designed to remain below conventional rate limits and alert thresholds.
API floods
Protect application endpoints and backend resources from application-layer traffic floods.
Retry storms
Stop broken clients and integrations from creating cascading request failures.
Runaway agents and automation
Control loops, excessive tool calls, uncontrolled retries, and unexpected automated behavior.
High-cost endpoint abuse
Protect database-intensive, compute-heavy, and AI-backed endpoints from disproportionate consumption.
Tenant and service-account misuse
Prevent a single tenant, service account, or integration from exhausting shared resources.
Abnormal data extraction
Identify unusual data-access volume, sequencing, and low-and-slow exfiltration patterns.
Why traditional controls miss API abuse
Many abusive requests are individually valid. The risk only becomes visible when behavior is evaluated across identities, endpoints, sequences, system conditions, and time.
Attackers
Bots
Authenticated Users
Integrations
Services
AI Agents
Traditional security ×Signature-based filtering×Static rate limits×Request-by-request decisions Misses context.
Cannot adapt.
Cannot adapt.
Your API
Exposed to abuse, resource exhaustion, service disruption, data loss, and rising infrastructure costs.
Signature-based filtering
Misses requests that are syntactically valid but collectively abusive.
Static rate limits
Treats clients and endpoints alike, regardless of behavior, risk, or resource cost.
Request-by-request decisions
Cannot recognize long-running patterns across sessions, identities, services, and time.
How Proxyble controls API abuse
Continuously evaluate each API consumer and apply the appropriate response.
1Observe behavior
Build behavioral context across identities, endpoints, request patterns, system conditions, and time.
2Evaluate risk
Detect anomalies, attacks, policy violations, and resource-intensive behavior using real-time rules and behavioral analysis.
3Apply policy
Allow, alert, slow, throttle, restrict, quarantine, or block activity according to risk and confidence.
4Explain decisions
Record the signals, policy decisions, enforcement actions, and outcomes for review, tuning, and audit.
Respond proportionally to risk
Not every anomaly should result in an immediate block. Proxyble supports graduated enforcement based on behavior, confidence, endpoint sensitivity, and business context.
Observe
Collect behavioral evidence without changing traffic.
Alert
Notify operators when activity crosses a policy or risk threshold.
Slow
Add controlled friction to suspicious or inefficient activity.
Throttle
Reduce request rates for specific clients, identities, tenants, or endpoints.
Restrict
Limit sensitive actions while preserving lower-risk access.
Quarantine
Temporarily isolate a risky identity while maintaining evidence and control.
Block
Stop clearly malicious activity at the appropriate enforcement point.
You control every policy and enforcement action
Proxyble does not force a black-box security model. Your team defines what is observed, how risk is evaluated, and which actions are permitted.
Start in observe-only mode
Evaluate policies against real production traffic before enabling active enforcement.
Use graduated responses
Alert, slow, or throttle uncertain activity instead of immediately blocking it.
Customize every policy
Adjust thresholds, conditions, exceptions, and actions for each identity, endpoint, tenant, or service.
Review the evidence
See which signals triggered a decision, which policy was applied, and what action was taken.
Override any decision
Change policies, add exceptions, disable actions, or restore access whenever your team decides.
Maintain an audit trail
Record policy evaluations, operator changes, enforcement actions, and outcomes.
Behavioral controls for every API consumer
Apply policies using identity, behavior, endpoint context, and infrastructure conditions.
Persistent consumer profiles
Evaluate users, services, partners, bots, integrations, and agents across sessions and network changes.
Sequence and history analysis
Detect patterns that only become visible across multiple requests or longer time windows.
Behavioral analysis
Understand how each consumer behaves over time instead of evaluating requests in isolation.
Threat and abuse detection
Detect attacks, credential misuse, automation abuse, scraping, reconnaissance, and abnormal consumption.
Programmable policies
Define thresholds, conditions, exceptions, confidence levels, and enforcement actions for your environment.
Granular enforcement
Apply actions per identity, client, endpoint, tenant, service, policy group, or globally.
Infrastructure-aware protection
Adapt policies using service health, latency, resource usage, endpoint cost, and available capacity.
Real-time response
Make sub-millisecond policy decisions at line rate with minimal latency.
Identity correlation
Track consumers across IP addresses, sessions, credentials, tokens, and connection changes.
Evidence and audit trails
Record detections, policy evaluations, enforcement actions, configuration changes, and outcomes.
Protection sharing
Reuse validated protections and risk signals across services and deployment environments.
Resource-aware controls
Protect expensive endpoints, shared infrastructure, databases, and AI workloads from disproportionate use.
Deploy without redesigning your API stack
Proxyble runs alongside your existing infrastructure, analyzes API behavior locally, and applies policy through your existing enforcement points.
API Consumers
Users, services, bots, integrations, attackers, and AI agents
Reverse Proxy / WAF
HAProxy, NGINX, Envoy, gateways, or ingress
Proxyble
Behavioral analysis and policy decisions
Your API
Applications, services, databases, and AI workloads
Traffic and system signals are provided to Proxyble without requiring application code changes.
Proxyble evaluates identity, behavior, policy, endpoint context, and infrastructure conditions.
Actions are applied through reverse proxies, gateways, WAFs, HAProxy, nftables, or other control points.
- No application code changes
- Data stays in your environment
- Works with existing reverse proxies, gateways, and WAFs
- Customer-controlled policies and enforcement
- Supports monitor-only and active enforcement modes
- Supports cloud, on-premises, edge, and air-gapped environments
- HAProxy
- Envoy
- NGINX
- Kubernetes
- Reverse Proxy / WAF
- Cloud
- On-Premises
- Edge
- Air-Gapped
Works with your existing enforcement layer
Add behavioral decisions without replacing the infrastructure already routing and protecting your API traffic.
HAProxy
Use Proxyble decisions to control traffic through HAProxy and related Linux enforcement mechanisms.
Envoy
Integrate behavioral policy decisions with Envoy-based proxies, gateways, and service meshes.
NGINX
Add behavioral context and adaptive policies to APIs served through NGINX.
Kubernetes
Deploy alongside containerized applications, ingress infrastructure, and service proxies.
nftables
Apply network-level controls and temporary restrictions through native Linux infrastructure.
Gateways and WAFs
Complement existing request filtering with continuous consumer behavior analysis.
Frequently asked questions
Proxyble evaluates behavior after authentication. It builds context across identities, endpoints, request sequences, usage volume, system conditions, and time to identify clients that are validly authenticated but behaving abusively, unexpectedly, or dangerously.
You control all policies and enforcement actions. Policies can begin in observe-only mode, use graduated responses such as alerting or throttling, include client and endpoint exceptions, and be adjusted or disabled at any time. Proxyble also records the evidence behind each decision so your team can review and tune the policy.
Yes. You can deploy Proxyble to observe traffic, build behavioral context, evaluate policies, and collect evidence without changing live requests. Enforcement can be enabled incrementally when your team is ready.
No. Proxyble is designed to run alongside your existing API infrastructure and work with reverse proxies, gateways, WAFs, and Linux enforcement controls without requiring application code changes.
Proxyble is self-hosted and runs inside your infrastructure. Traffic analysis, policy decisions, configuration, and enforcement evidence remain under your control.
Proxyble is designed for line-rate operation with sub-millisecond policy decisions. It runs close to your traffic and applies policies through existing enforcement points with minimal latency.
WAFs primarily inspect individual requests using signatures, protocol validation, and request-level rules. Proxyble complements those controls by evaluating behavior across identities, endpoints, sequences, infrastructure conditions, and time.
Your existing gateway or reverse proxy continues to route traffic. Proxyble analyzes behavioral and system signals, makes policy decisions, and returns enforcement actions that can be applied through your existing traffic and network controls.
Policies can observe, alert, add artificial slowdown, throttle traffic, restrict actions, quarantine identities, apply temporary bans, trigger network-level controls, or block clearly malicious activity.
Yes. Policies and enforcement actions can be scoped per identity, client, endpoint, tenant, service, policy group, or globally.
Yes. Proxyble can detect unexpected call volume, retry loops, excessive endpoint usage, unusual request sequences, and disproportionate resource consumption from integrations, automations, and AI agents.
No. Authentication and authorization determine whether a consumer is allowed to access an API. Proxyble continuously evaluates what that consumer does after access is granted and applies policy when behavior becomes abusive, risky, inefficient, or unexpected.
Yes. Proxyble Core is open source, can be deployed in your own environment, and keeps policy configuration and enforcement under your control.
Yes. Proxyble is self-hosted and designed to run across cloud, private infrastructure, on-premises systems, constrained edge environments, and networks without external connectivity.
Start with open-source API abuse protection.
Keep every policy under your control.
Deploy Proxyble in your environment, observe real API behavior, and enable enforcement when you are ready.