The Hidden API Threat: Radware on Stopping Business Logic Attacks Before They Strike

APIs may be powering the digital economy, but they’ve also opened the door to a new class of invisible threats. In this interview, Uri Dorot, Senior Solutions Lead at Radware, breaks down why Business Logic Attacks are slipping past traditional defenses. In this interview, he explains how attackers exploit intended functionality, why traditional defenses fall short, and what security teams must do now to close the gaps.

Why are APIs becoming a significant target for threat actors?

APIs have become the backbone of digital business, making them an attractive target for attackers. One particularly insidious threat is Business Logic Attacks (BLAs), which exploit the intended behavior of an API rather than relying on typical injections or weak authentication exploits. These attacks manipulate workflows, bypass controls, and alter transactions in ways that traditional security tools often miss.

How do Business Logic Attacks differ from traditional API threats?

Traditional API threats typically involve identifying malicious payloads, broken authentication, and misconfigurations—issues stemming from flawed code or unpatched components. In contrast, BLAs exploit gaps in how APIs are intended to function. They might chain legitimate calls in unintended sequences, alter request parameters for pricing advantages, or bypass rate limits to scrape data at scale. These attacks mimic legitimate traffic, making them harder to detect.

What makes BLAs particularly dangerous?

BLAs are dangerous because they blend in with legitimate traffic, targeting business workflows without needing an exploit. Attackers use AI-driven tools to reverse-engineer APIs, map complex flows, and simulate user behavior to identify weak spots. Traditional defenses like WAFs and API gateways are not designed to understand application behavior, leaving them blind to these attacks.

What are the limitations of legacy API security in defending against BLAs?

Legacy API security relies on perimeter defenses and static rule sets, which fall short against logic-based abuse. Key gaps include a lack of API inventory, no understanding of context, slow adaptation to change, and isolated detection layers. These limitations make it difficult to piece together multi-step attacks and protect against BLAs effectively.

What approach should organizations take to detect and mitigate BLAs?

Organizations need to move beyond signature-based controls and adopt behavior-based models. Key capabilities should include comprehensive API discovery and mapping, real-time behavioral baselines, continuous business logic monitoring, adaptive security policies, and integration with the broader security ecosystem. This approach allows for dynamic and intelligent threat detection and mitigation.

How can security teams effectively defend against BLAs?

Defending against BLAs requires a mindset shift. Security teams must understand the workflows, use cases, and business goals their APIs support. This involves working closely with development teams during the design phase and continuously monitoring APIs in production. Teams should focus on modeling and enforcing business behavior dynamically, recognizing that perimeter defenses alone are not enough.

What is the broader implication of BLAs for API security?

API security is no longer just about keeping bad code out; it’s about preventing good functionality from being used with bad intent. BLAs are subtle, scalable, and increasingly automated, demanding more than traditional tools. Security professionals must rethink their approach to API security, building protections that align with how modern digital systems are designed and abused.