API incident response: a practical playbook from signal to recovery
Prepare a calm response to suspicious API activity with clear authority, scoped containment, and evidence-based recovery.
AI agent least privilege: let the model propose, let policy decide
A permission model for tool-using agents, with scoped identities, specific approvals, and auditable execution.
AI token budgets: control consumption before the bill arrives
Design per-request, workflow, and tenant budgets with explicit estimates, reconciliation, and safe stopping behavior.
Prompt injection and API security: keep untrusted content out of control
Why valid requests can still carry unsafe instructions, and how to protect the boundaries around retrieval, tools, and output.
AI API monitoring: connect latency, usage, and policy decisions
Build an observability plan that follows the whole AI workflow instead of stopping at a successful HTTP response.
API security logging: useful evidence without a second data leak
Build decision-focused security events that support investigations without copying production secrets into your logs.
API rate limiting: protect capacity without breaking good clients
Move beyond one global request limit with endpoint budgets, bounded queues, and observable retry behavior.
Prevent BOLA in multi-tenant APIs: authorize the object, not just the route
Turn tenant boundaries into explicit resource checks, negative tests, and safer background-job behavior.
API firewall vs WAF: choose the right control for the request
Understand where request filtering helps, what belongs in application authorization, and how to evaluate a layered deployment.
API security checklist: build a stronger first line of defense
A practical path from endpoint inventory to access controls, resource limits, and a release process your team can repeat.
Follow a reading path.
Explore a theme across the journal. Each path connects related implementation questions rather than repeating the same keyword.