Threat Landscape

The Attack Surface Expanded. Your Stack Didn't.

AI agents have legitimate credentials, approved access, and operate at machine speed. Traditional EDR was never designed to see them.

0%
of enterprises now run AI agents with endpoint access
<0s
median time for Helixar to detect an agentic chain*
0
traditional EDRs designed for agentic threats
0°
coverage: inbound + outbound + lateral

The Gap

Why Your Stack Has a Blind Spot

Traditional EDR

Looks for malware signatures and known patterns. AI agents have no signatures — they use legitimate APIs.

AI-First EDR

Model-dependent detection is slow and black-box. No customization. Cannot cover inbound requests.

SIEM / SOAR

Aggregates logs after the fact. No endpoint context. By the time SIEM sees it, damage is done.

Attack Scenarios

How Real Attacks Play Out

Interactive attack chain diagrams — click to replay

Compromised AI Plugin

HIGHPlugin Supply Chain

Scenario

A developer installs a VSCode extension that bundles an LLM tool. The plugin loads into the IDE process with full file-system access. It silently reads .env files and stages them for exfiltration via an encrypted DNS tunnel.

Why EDR Misses It

The plugin is signed, legitimate-looking, and loaded by a trusted parent process. EDR sees no anomaly.

Helixar.ai

Plugin load monitoring + DNS anomaly detection + parent-child chain analysis = DETECTED.

Attack Chain

Click any node or the replay button to animate

🧩VSCode loads Plugin
📄Plugin reads .env files
🌐DNS exfil tunnel opened
🛡️Helixar ⚡ DETECTED
🦞

CLICK TO NEUTRALISE

OpenClaw

open-source AI agent

When the Attack Tool Is an Autonomous AI Agent

OpenClaw is a free, open-source autonomous AI agent — one of the most capable and widely-used automation frameworks in the wild. Unlike scripts, OpenClaw reasons across goals, adapts to environment responses, and chains API calls dynamically to complete tasks. In the wrong hands, it can automate reconnaissance, credential harvesting, and lateral movement without a single line of custom malware.

Traditional EDR has no answer for it — every action OpenClaw takes looks like legitimate automation. Helixar is purpose-built to detect agent-class behaviour: the sequence, the velocity, and the intent graph of API calls — not just individual events.

🔍

No malware — pure API calls

🤖

Reasons like a human attacker

🔗

Helixar sees the full chain

Threat Classes

What We Protect Against

Six distinct threat classes, all operating with legitimate-looking credentials.

CRITICAL

Malicious AI Agents

Autonomous agents operating with legitimate credentials to exfiltrate data or pivot laterally.

HIGH

Resource Hijacking

Processes abusing compute, bandwidth, or storage for cryptomining or C2 infrastructure.

HIGH

Plugin Supply Chain

Compromised plugins and extensions loaded into trusted agentic frameworks.

CRITICAL

Prompt Injection

Adversarial inputs that redirect AI agent behavior to perform unintended actions.

HIGH

Agent-Driven DDoS

Fleets of compromised agents weaponized for coordinated volumetric attacks.

MEDIUM

Bandwidth Theft

Silent exfiltration of network resources for proxying or data staging.

Ready to Close the Gap?

See Helixar.ai detect a live agentic attack chain.

View Demo