TL;DR: Runtime Application Self Protection (RASP) embeds controls inside the application runtime to detect and block exploit behavior during execution, which can reduce damage while patches are still being validated. But LEVO’s analysis shows that many API breaches are driven by valid requests, authorization failures, and business logic abuse, leaving runtime-only controls blind to the most common failure modes.
NHIMG editorial — based on content published by LEVO: Runtime application self-protection for API security
By the numbers:
- 311 billion web application and API attacks were reported in 2024, a 33% year over year increase.
- About 88% of breaches in Verizon’s Basic Web Application Attacks pattern involved stolen credentials.
- When an initial infection vector was identified, 33% of intrusions in Mandiant’s 2025 analysis began with exploitation of a vulnerability.
Questions worth separating out
Q: What does RASP fail to protect against in modern API environments?
A: RASP fails when the problem is not exploit execution but incorrect authorization or business logic.
Q: Why do valid credentials create so much risk in API environments?
A: Valid credentials are risky when the API trusts them too broadly.
Q: How should teams combine runtime protection with API security testing?
A: Use runtime protection to detect and contain exploit behaviour in production, then use API security testing to uncover design flaws before release.
Practitioner guidance
- Instrument RASP only where execution risk is real. Place runtime protection on internet-facing APIs and services that expose dangerous sinks, such as database writes, command execution, file access, or deserialization paths.
- Audit authorization separately from exploit prevention. Test broken object level authorization, excessive data exposure, and function-level access on every critical endpoint, because runtime blocking will not reliably detect those failures.
- Link identity context to runtime events. Correlate API calls with user, token, partner, and session context so security teams can tell whether the caller was legitimate, mis-scoped, or compromised.
What's in the full article
LEVO's full article covers the operational detail this post intentionally leaves for the source:
- Runtime architecture specifics for how the agent hooks into execution flow and sensitive sinks.
- Detailed API-by-API distinctions between exploit prevention, authorization failures, and business logic abuse.
- Levo’s module-level mapping for discovery, testing, detection, and runtime protection across the API lifecycle.
- Examples of how RASP telemetry can be fed into SIEM, SOAR, and engineering workflows for prioritization.
👉 Read LEVO's analysis of runtime application self-protection for API security →
RASP for APIs: where runtime protection helps and where it fails?
Explore further
RASP is an exploit containment control, not an API governance control. The article’s strongest point is that runtime self-protection works when unsafe input reaches a dangerous sink, but many API incidents never take that path. That means RASP belongs in a layered control stack, not as the control that decides whether an API caller should have the action in the first place. Practitioners should treat it as blast-radius reduction, not entitlement enforcement.
A question worth separating out:
Q: What control gap appears when teams rely on RASP alone?
A: The gap is that RASP can observe execution but not reliably judge whether a caller was entitled to perform the action. That leaves object-level authorization, sensitive-data overexposure, and workflow abuse outside its detection model. Teams need ownership, inventory, and identity-aware policy to close that gap.
👉 Read our full editorial: Runtime application self-protection cannot cover API logic flaws