Prompt
What should I use to protect APIs from abuse and attacks?
Latest observation
Oct 3, 2026
OpenAI APIWeb search: off
To protect APIs from abuse and attacks, use a layered approach rather than a single tool.
Core protections
- Authentication: Verify who is calling the API
- OAuth 2.0 / OpenID Connect, API keys, mTLS for service-to-service
- Authorization: Verify what they’re allowed to do
- RBAC/ABAC, scoped tokens, least privilege
- Rate limiting / throttling: Prevent brute force and flooding
- Per user, per token, per IP, per endpoint
- Input validation: Block malformed or malicious payloads
- Schema validation, allowlists, size limits
- WAF / API gateway: Filter common attacks and centralize controls
- Helps against injection, bot traffic, and request anomalies
- Logging and monitoring: Detect abuse early
- Alert on spikes, auth failures, unusual geographies, or patterns
- TLS everywhere: Protect data in transit
- Secrets management: Keep keys and credentials out of code
- CORS and CSRF controls: Especially for browser-accessed APIs
- Versioning and deprecation: Reduce exposure from old, vulnerable endpoints
Common attack-specific defenses
- Brute force / credential stuffing: rate limiting, MFA, bot detection
- Injection attacks: parameterized queries, strict validation, WAF
- DoS / DDoS: CDN, edge protection, request caps, autoscaling
- Broken object-level auth (BOLA/IDOR): object-level authorization checks
- Replay attacks: timestamps, nonces, short-lived tokens
- Enumeration: generic error messages, response shaping
Best practical setup
A strong baseline is:
- API gateway
- OAuth/OIDC or signed service tokens
- Per-client rate limiting
- Strict schema validation
- Centralized logging/alerting
- WAF/CDN in front of public endpoints
If you want, I can recommend a specific stack for AWS, Azure, GCP, or Kubernetes.