What should I use to detect token abuse and replay attacks?

To detect token abuse and replay attacks, you typically want a combination of authentication telemetry, token validation controls, and anomaly detection.

Good things to use

1. JWT / token validation logs

Monitor:

• token jti (JWT ID) reuse
• repeated use of the same access token from different IPs / user agents
• expired token usage
• invalid signature / malformed token attempts
• refresh token reuse

2. Replay detection mechanisms

Use:

• nonce or unique request ID
• one-time-use tokens
• short-lived access tokens
• token binding / sender-constrained tokens if supported
• mTLS or DPoP for stronger anti-replay protection

3. SIEM / security analytics

Feed auth events into a SIEM such as:

• Splunk
• Microsoft Sentinel
• Elastic Security
• Chronicle

Then create detections for:

• same token used from multiple geographies
• impossible travel
• high request rates with one token
• repeated 401/403s followed by success
• token refresh anomalies

4. API gateway / WAF / auth proxy

Tools like:

• Kong
• Apigee
• AWS API Gateway + WAF
• NGINX / Envoy
• Azure API Management

These can log and enforce:

• rate limits
• IP reputation
• request fingerprinting
• token introspection
• replay heuristics

5. Identity provider / authorization server logs

If you use OAuth/OIDC, inspect:

• refresh token rotation failures
• token reuse events
• consent anomalies
• session/token revocation events

Strong recommendation

For replay attacks, the most effective controls are:

• TLS everywhere
• short token lifetimes
• refresh token rotation
• nonce / jti checking
• sender-constrained tokens like DPoP or mTLS

If you mean “what product should I buy?”

A common practical stack is:

• API gateway for enforcement
• SIEM for detection
• IdP logs for token lifecycle visibility
• WAF/rate limiting for abuse suppression

If you want, I can suggest a specific setup for:

• AWS
• Azure
• GCP
• Kubernetes
• OAuth/OIDC/JWT environments