---
title: "Defend Against Agentic Attacks | ZioSec Voidhawk"
description: "Voidhawk adaptive defense for security and infrastructure teams protecting connected apps, APIs, and AI agents. Explore a design partnership."
url: https://ziosec.com/use-cases/defend-against-agentic-attacks
---

# Defend against agentic attacks

Voidhawk for security, platform, and infrastructure teams.

Your application does not have to use AI to face an AI-powered attacker. Voidhawk brings an attacker’s understanding to the traffic reaching your apps, APIs, and agents.

In active development. Selecting design partners.

[Explore a design partnership](/contact?intent=voidhawk) | [Explore Voidhawk](/voidhawk)

## Same infrastructure. A different outcome.

### Existing defenses

Applications and APIs sit inside ingress, WAF, and CDN layers. Green legitimate traffic reaches the center. Four red attack classes approach: Botnets, Scripts, Human expert attackers, and AI agent attack swarms.

In this scenario, the CDN catches botnets and the WAF catches scripts. Human expert attackers and AI agent attack swarms probe, adapt, and reason past those defenses toward the applications and APIs.

They reason past the rules. AI agents act with expert human proficiency but at machine speed. Your applications are exposed.

### With Voidhawk

Voidhawk reasons against intelligent attackers.

Nefarious traffic sees escalating models that disrupt their operations in real time.

The CDN and WAF continue catching botnets and scripts. Voidhawk reads the adaptive attack traffic and diverts it into AI triage. Intent is analyzed across applications; ZioSec attack models work against traffic deemed malicious. Only green legitimate traffic reaches the applications and APIs in this scenario.

Curved, moving paths show probing and retargeting; visible catch events identify where each attack is stopped. The comparison automatically wipes between the two scenes, pausing at each full view. Swipe, drag, or use the keyboard to take control; select Auto compare to resume. Motion can be paused, and reduced-motion preferences are respected.

This conceptual scenario illustrates an enforcement deployment, not a guaranteed result for every attack. Mirroring observes without blocking.

## The same defense. A traffic path that fits.

### Self-hosted Kubernetes

Run Voidhawk in your Kubernetes cluster. Request data and per-endpoint calibration remain in your infrastructure. Choose how the defense connects to the traffic you want to evaluate.

### Hosted edge

Route traffic through Voidhawk before your origin. ZioSec processes request and response traffic on its infrastructure, with no Voidhawk installation in your cluster.

Start with an agreed evaluation. Mirroring observes requests and scores them; it cannot block or inspect responses. For both request and response signals without enforcement, discuss ext_proc dry-run.

[Compare deployment and evaluation modes](/voidhawk/deployment)

## Frequently asked questions

**Who is this solution for?**

Security, platform, and infrastructure teams responsible for connected applications and APIs, as well as teams deploying AI agents. You do not need to operate AI agents to face agentic attacks.

**Can a mirrored evaluation block attacks?**

No. Mirroring duplicates requests for observation and scoring. It cannot block and it does not receive responses, so response-dependent detections are unavailable. An ext_proc dry-run evaluation can preserve request and response signals without enforcement.

**How do we get started?**

Voidhawk is in active development and ZioSec is selecting design partners. Bring your traffic path, the apps or APIs you defend, and your data handling requirements. Together we can scope a deployment and authorized offensive evaluation.

## Also building your own agents?

AI Red Teaming Platform is a full platform for operating security across the agents you deploy. Manage inventory, continuous attack campaigns, policy, reproducible findings, risk posture, and audit evidence in one place.

[Explore AI Red Teaming Platform](/ai-red-teaming) | [Our expertise](/approach) | [All solutions](/use-cases)