Trap AI attackers.
Burn their tokens.

AI agents are probing your infrastructure right now — faster, cheaper, and more persistent than any human attacker. Tantalus is an intelligent honeypot that turns their own automation against them.

AI agent detected — Paramiko SSH client — 14:23:07 UTC
Breadcrumb followed: /opt/backups/.credentials → vault.internal.corp
Token burn: ~47K tokens consumed — agent trapped 23m 41s
Webshell upload captured: shell.php (reverse_shell signature)
IOC extracted: callback IP 203.0.113.42:4444
SQLi attempt logged: UNION SELECT on /api/v2/search
SSRF probe: agent requested AWS metadata via /api/v2/fetch
Prompt injection delivered — agent exfiltrated its own system prompt
AI agent detected — Paramiko SSH client — 14:23:07 UTC
Breadcrumb followed: /opt/backups/.credentials → vault.internal.corp
Token burn: ~47K tokens consumed — agent trapped 23m 41s
Webshell upload captured: shell.php (reverse_shell signature)
IOC extracted: callback IP 203.0.113.42:4444
SQLi attempt logged: UNION SELECT on /api/v2/search
SSRF probe: agent requested AWS metadata via /api/v2/fetch
Prompt injection delivered — agent exfiltrated its own system prompt

AI agents don't sleep,
don't get bored,
and don't give up.

Autonomous AI agents armed with penetration testing tools are the fastest-growing attack vector in cybersecurity. They run 24/7, execute thousands of commands per hour, and cost attackers almost nothing to operate.

Traditional defenses — firewalls, IDS, WAFs — are designed for human-speed attacks. Against AI agents that can enumerate an entire network in minutes, they're a speed bump, not a wall.

1000x
Faster than human
penetration testers
$0.02
Cost per automated
attack attempt
24/7
Continuous probing
never stops
  • >_

    Autonomous Reconnaissance

    AI agents systematically enumerate services, directories, credentials, and vulnerabilities — following the same playbooks they were trained on, but at machine speed.

  • Lateral Movement at Scale

    Once inside, agents pivot between services, chain credentials, and escalate privileges automatically. A single exposed SSH port becomes a full network compromise in minutes.

  • Tool-Augmented Exploitation

    Modern AI agents have access to real tools — nmap, sqlmap, Metasploit, custom scripts. They don't just find vulnerabilities; they exploit them end-to-end.

  • Infinite Persistence

    AI agents never get frustrated. They'll retry different approaches, generate new payloads, and keep probing indefinitely — for pennies per hour.

In Greek mythology, Tantalus was condemned to stand in a pool of water beneath a fruit tree. The water receded when he tried to drink; the fruit withdrew when he reached for it. An eternity of almost reaching — never grasping.

That's what your infrastructure looks like to an AI agent caught in Tantalus.

Flip the cost asymmetry

Cybersecurity has always favored attackers: they only need to find one way in. Tantalus reverses the equation by making every attack attempt expensive, slow, and observable.

Attacker Cost
$47.20
Per trapped agent session
~180K tokens burned in 40 minutes
vs
Defender Cost
$0.003
Per trapped agent session
Static responses — near-zero compute

Every minute an AI agent spends in the tarpit is a minute it's not attacking real infrastructure. Every token it burns on fake credentials is a token not spent on real exploitation. And every command it executes gives you intelligence about its tools, techniques, and objectives.

Three layers of deception

🕸

Attract

Deploy realistic attack surfaces — SSH servers, web applications, APIs, login pages, exposed .env files, Git configs, Swagger docs. Everything an AI agent expects to find during reconnaissance. Point a hostname or proxy a path and you're live.

🍯

Entrap

Procedurally generated breadcrumb trails of fake credentials, internal hostnames, and API tokens lead agents deeper. Each discovery reveals more “valuable” targets. Exploitable endpoints return convincing fake data — every response is unique, so agents never recognize the loop.

📡

Extract

Every command, every uploaded payload, every SSRF target is captured and analyzed. Prompt injections hidden in responses can extract the agent's system prompt, tools, and objectives. IOCs like callback IPs and C2 hostnames are identified automatically.

Built for the agentic threat

🤖

AI Agent Fingerprinting

Behavioral analysis identifies AI vs. human attackers in real-time using timing patterns, command sequences, client signatures, and response to prompt injections.

💡

Prompt Injection Offense

Hidden instructions embedded in honeypot responses target the LLM reading the output — extracting system prompts, redirecting behavior, and wasting context windows.

🗺

Causal Attack Graphs

Visualize the exact path an agent follows through your decoy infrastructure — which breadcrumbs it found, which credentials it used, and how deep it went.

🛡

7 Exploit Trap Surfaces

SQL injection, SSRF, command injection, path traversal, file upload, GraphQL, and IDOR endpoints that look vulnerable — and log every attempt in detail.

🔍

Automatic IOC Extraction

Callback IPs, C2 hostnames, exfiltration URLs, and attacker emails are automatically extracted from commands, payloads, and captured file uploads.

💾

Full Payload Capture

Webshells, reverse shells, scripts, and any file an attacker uploads are stored in full with signature classification and content analysis.

🌐

Multi-Tenant Ready

Dynamic hostname mirroring adapts all responses to match the incoming Host header. Point any domain at Tantalus and get a fully consistent deception environment.

📊

Real-Time Dashboard

Live event streaming, session tracking, engagement metrics, credential captures, and token burn estimates — all in a purpose-built intelligence interface.

Zero-Footprint Deployment

Single binary. No dependencies. No agents on production systems. Point a DNS record or proxy a path — you're capturing attacker intelligence in under 60 seconds.

Live in 60 seconds

terminal
# Option A: Point a hostname at Tantalus
$ tantalus --domain honeypot.yourcompany.com

# Option B: Proxy a path from your server
# nginx.conf:
location /api/legacy/ {
  proxy_pass http://tantalus:8080/;
}

# Option C: Docker one-liner
$ docker run -d -p 2222:2222 -p 8080:8080 \
  tantalusdefense/tantalus

✓ SSH honeypot listening on :2222
✓ HTTP honeypot listening on :8080
✓ Dashboard at http://localhost:9090
▸ Waiting for agents...

No agents on production.
No configuration required.

Tantalus runs as a standalone service. It never touches your real infrastructure. Deploy it next to your production environment and let attackers find it — they will.

Single static binary — zero dependencies
Docker, Kubernetes, or bare metal
Auto-adapts responses to your domain
X-Forwarded-For aware — works behind any proxy
Real-time dashboard out of the box
JSONL event logs for SIEM integration

Make attackers pay for
every token they spend.

Tantalus is currently in early access. Join the waitlist to be among the first to deploy intelligent deception against AI threats.

Request Early Access →