Runtime Protection Agent
OverviewAPI PostureAPI Advanced ProtectionAI PostureAI Firewall

API Advanced Protection

Keep threats away from your APIs, apps, and AI assets

Harness Runtime Protection Agent defends your digital environment from vulnerability exploits, bots, Layer 7 DDoS, and other sophisticated attacks.

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Trust and Intent

Tracing and behavioral analytics detect even sophisticated attacks

Accuracy

Traditional security struggles with false positives

Static detections often don't catch enough attacks or they create too many false positives.

High accuracy without frustrating real users

Behavioral AI trains on live traffic and uses context to detect what traditional approaches miss

Speed

Detection comes too late

By the time an attack is triaged, the damage, account takeover or data loss, is already done.

Real-time response

Adaptive rules block attacks the moment behavior turns malicious, then evolve as patterns change.

Forensics

Little visibility into past interactions

Gaps in visibility and a lack of context makes it difficult to gain insight into attacks.

Observability and audit trails

See every API, AI, and app request and response to build an audit trail of attacks and behavior anomalies.

Behavioral Detection

ML-based analysis that scales with your traffic

Harness learns the normal shape of your API traffic, then flags the identity, sequence, and behavior patterns that give attackers away.

Credential-stuffing & ATO defense. Detect high-velocity, distributed login abuse that static rate limits miss.

Business-logic abuse detection. Catch valid-looking request sequences that exploit your API logic, like BOLA and mass assignment.

Bot & automation detection. Separate automated abuse from real users, even when bots rotate IPs and mimic browsers.

Real-Time Response

Block attacks before they reach your APIs or apps

Detection is only useful if it acts. Harness responds inline with adaptive rules that learn from your traffic and evolve as attacks change.

Inline blocking. Stop malicious requests in real time, before they reach your application or data.

Adaptive rules. Policies tune themselves to your traffic instead of relying on brittle, hand-written signatures.

Low friction for real users. High-fidelity detection keeps false positives down so legitimate traffic is never blocked.

Why A Data Lake Matters

API Advanced Protection's data lake: built for forensics

The industry's largest data lake allows forensic analysis of all requests and responses.

Collect data from all sources See traffic out of band, inline, and at the edge for full visibility.

Build trust Trace complete user sessions to detect good behavior and signals of legitimate interactions.

Detect malicious intent Big data analysis detects deviations and anomalies to stop attack chains, lateral movement, and other attacks.

FAQs

Common questions answered

API Advanced Protection is runtime defense for the attacks that look like legitimate API traffic: credential stuffing, account takeover, business-logic abuse, and bot-driven abuse. Instead of matching known signatures, it uses behavioral AI trained on your own API traffic to spot the identity, sequence, and behavior patterns that give an attack away, then blocks it inline in real time.

Signature- and rule-based tools look for known-bad patterns, so they wave through attacks made of individually valid requests. Behavioral detection catches credential stuffing and account takeover (high-velocity, distributed logins), business-logic abuse such as BOLA and mass assignment, scraping, and bot-driven abuse that rotates IPs and mimics real browsers. The tell is not the request itself, it is the identity, sequence, and behavior across many requests.

A WAF blocks known malicious payloads and a gateway can enforce static rate limits, but neither understands the intent behind valid-looking traffic. Advanced Protection sits alongside them, modeling normal behavior per API and per identity so it can catch low-and-slow credential stuffing, logic abuse, and adaptive bots that stay under fixed thresholds. It complements a WAF and gateway rather than replacing them.

Business-logic abuse exploits the intended functionality of an API rather than a software bug. The most common example is Broken Object-Level Authorization (BOLA), where an attacker changes an ID in an otherwise valid request to access another user’s data. Because every request is well-formed, signatures do not fire, so detection depends on understanding what normal access looks like for each identity.

Harness distinguishes automated abuse from real users by analyzing behavioral signals rather than IP reputation alone, so it stays effective even when bots rotate IPs, use residential proxies, and mimic browsers. Suspicious automation is blocked or challenged while legitimate traffic passes through without added friction.

High-fidelity behavioral models keep false positives low, and you can run in monitoring mode first to validate detections before enabling blocking. Adaptive rules learn from your traffic over time, so protection tightens around real threats without getting in the way of normal customers.

Get started with Harness API Advanced Protection

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