Tracking Who Accessed What and When with RASP

An alert flashed at 02:17. A request hit the API from an unrecognized session, pulling sensitive data it had no reason to touch. You need to know exactly who accessed what and when—without chasing logs across scattered systems.

Runtime Application Self-Protection (RASP) gives you that visibility at the precise moment code executes. Instead of relying solely on perimeter defense, RASP watches inside the application itself, inspecting inputs, monitoring behavior, and flagging or blocking abnormal activity in real time. When configured for detailed auditing, RASP can record user identity, data endpoints accessed, and timestamps for every event.

Tracking “who accessed what and when” starts by mapping RASP’s monitoring hooks to the critical operations in your service. This means tying HTTP handlers, database queries, and file reads to identity data, even for background workers and asynchronous tasks. A well-implemented RASP will enrich every access log with:

• Actor — The authenticated user or system account making the request.
• Resource — The specific object, record, or API endpoint accessed.
• Action — Read, write, delete, or execute.
• Timestamp — Exact time, with timezone and clock sync to your standard.
• Outcome — Allowed, blocked, or flagged for investigation.

When these logs are centralized, you can query instantly for audit trails, compliance checks, or incident response. This eliminates gaps between code, infrastructure, and observability stacks. The RASP agent becomes an inside witness to every transaction, reducing time-to-discovery for policy violations or breaches.

For performance, filter events at capture using allowlists and severity thresholds. For depth, keep raw payloads for forensic replay. Balance granularity with retention rules to avoid storage sprawl. And most importantly, integrate the reporting pipeline into your incident management workflow so alerts reach the right team without delay.

Precise answers to “who accessed what and when” don’t have to come from hours of manual correlation. With RASP, they can be live, complete, and trusted.

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