---
title: "Introducing Voidhawk | Agentic Edge Defense | ZioSec"
description: "Voidhawk provides visibility, detection, and response for adaptive AI attacks against apps and APIs. Deploy in your Kubernetes cluster or in our cloud."
url: "https://ziosec.com"
---

ZioSec introduces

# Introducing Voidhawk

[![Voidhawk.ai logo](/images/voidhawk/voidhawk-lockup-dark.png)](/voidhawk)

## Frontline defense for your apps and APIs against autonomous AI threats

### Deployed in your cluster or in our cloud.

#### AI Agents learn as they probe your defenses and will find a way in. Voidhawk provides visibility, detection, and response for stealthy, adaptive attacks in the age of AI.

[Why now](/#why-now)

## Why now: AI attacks are being commoditized.

Agents are reaching live, web-connected systems. Capabilities once reserved for frontier models are spreading through open weights and into the hands of bad actors.

### 01. Beyond containment

Capable agents can cross intended boundaries and reach web-connected systems.

*Illustration: An agent follows a path out of a bounded environment to a connected web application. The illustration represents the possibility of crossing an intended boundary.*

### 02. Capability spreads

Open-weight models approaching the frontier make advanced reasoning more widely available.

*Illustration: A model core branches into a growing network of agent instances, illustrating wider access to advanced capabilities.*

### 03. Attacks multiply

More attackers can direct capable agents against applications, APIs, and infrastructure.

*Illustration: Several hostile agents send branching paths toward an application, an API, and an infrastructure server, illustrating attacks across connected assets.*

## Introducing Voidhawk

Visibility. Detection. Response.

See the evidence conventional logs miss. Connect it into the campaign behind the requests. Block threats in real time or bring that evidence into your SOC.

### Packet-level evidence

Packet-level visibility between your apps and APIs exposes request and response payloads, protocol behavior, and interactions across entire flows. Defenders gain evidence conventional logs often omit.

*Illustration: Requests and responses carry payload and protocol evidence through a connected flow.*

### Campaign context

Connect signals across IP addresses, sessions, and time to identify coordinated campaigns, even as attackers rotate infrastructure and change tactics. Activity that looks harmless in isolation can reveal an attack when connected.

*Illustration: Activity across changing IP addresses and sessions links into one campaign over time.*

### Line-speed detection

Specialized analyzers, heuristics, and lightweight models are designed for line-speed detection. Complex patterns escalate for deeper AI investigation while fast-path inspection continues.

*Illustration: The fast path continues while suspicious activity branches into deeper AI investigation.*

### Response on your terms

Block in real time or feed actionable signals and supporting evidence into existing SOC workflows, including AI SOC platforms. Visibility and investigation remain valuable even when Voidhawk does not block traffic.

*Illustration: Findings can support inline blocking or flow as evidence into a SOC, including AI SOC platforms.*

Request and response visibility and enforcement depend on the attachment mode. Mirroring observes requests only and cannot block. For full request and response signal without blocking, use ext_proc in dry-run. [Compare deployment modes](/voidhawk/deployment#attachment-modes).

[Explore Voidhawk](/voidhawk)

In active development. Design partnerships open.

## Why us? We ARE the attackers.

Our AI Red Teaming Platform has been attacking AI agents for years.

We know how they reason, what they trust, and where they break.

Now we’re using that expertise in Voidhawk to reason back against the AI attackers targeting infrastructure, applications, and APIs.

![ZioSec’s AI Red Teaming Platform building a chained attack, with the agent’s reasoning alongside it.](/screenshots/attack-builder.jpg)

Our AI Red Teaming Platform: Attack Builder.

The offensive platform behind our defensive expertise.

## Explore ZioSec: Choose where to go next.

### Agentic edge defense: Voidhawk

Visibility, detection, and response for adaptive attacks against apps and APIs. In your cluster or in our cloud.

*Illustration: Rose attack paths branch and adapt, then stop or turn away at a green defensive boundary. The application remains behind that boundary.*

Stop the attack before it reaches your application.

Design partnerships open.

[Explore Voidhawk](/voidhawk)

### Autonomous offensive security: AI Red Teaming Platform

The full platform for attacking, testing, and securing your AI agent fleet.

*Illustration: Connected lavender agent glyphs form a fleet. A magnifying lens isolates a broken rose link between agents, revealing a weakness within the trust boundary.*

Expose the weak link in your agents’ trust boundaries.

Platform + API access.

[Explore AI Red Teaming Platform](/ai-red-teaming)