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Decepticon

Bitter Security · Decepticon: Open-Source Autonomous Red Team Agent for Authorized Engagements

Open Decepticon

Decepticon is Bitter Security's open-source (Apache-2.0) autonomous red team agent: a roster of 16 agents in which an orchestrator works through an operations plan and dispatches specialists for reconnaissance, exploitation, post-exploitation, Active Directory, cloud and reversing, running every command inside an isolated Kali Linux sandbox and only against operator-approved scope. It suits red teamers, pentesters and security researchers who want to self-host full attack-chain emulation with their own model keys.

PricingFreemium
Setupmedium
Runs onSelf-hosted · Web
Open sourceYes
DocsYes
CategorySecurity
Red TeamingPenetration TestingOpen SourceMulti-AgentSelf-HostedBYOKMCPLangGraphCLI

Best for

Experienced red teamers, pentesters and security researchers who want a self-hosted, open-source agent that runs full adversary-emulation chains, including post-exploitation, Active Directory and C2, against scoped targets they are authorized to attack

Not ideal for

Teams without written authorization for the target, developers who only want CI-friendly web app or API security checks, organizations that can neither run a multi-container Docker stack nor send engagement data to an LLM provider or a local model, and buyers who need a managed service with published, purchasable plans today

Who it's for

Red teamers, penetration testers, offensive security researchers and security teams running authorized adversary-emulation engagements

Capabilities

  • A roster of 16 agents in which the Decepticon orchestrator plans an engagement as an OPPLAN of dependent objectives and dispatches specialists, each with a fresh context window per objective
  • Specialists for reconnaissance, exploitation, post-exploitation, Active Directory (Kerberoasting, ADCS abuse, DCSync, BloodHound path analysis), cloud IAM and Kubernetes, smart-contract auditing, binary reversing and reporting
  • Operator-approved scope: targets and exclusions are reviewed at engagement creation and written to a machine rules-of-engagement file that the runtime enforces on gated tool calls
  • Optional Plan mode in which the Soundwave planner drafts a threat profile, ConOps, deconfliction, contact, data-handling, abort and cleanup documents without executing anything
  • All commands run in a Kali Linux sandbox on an operational Docker network kept separate from the management plane, with persistent tmux sessions for interactive tools such as msfconsole, sliver-client and evil-winrm
  • On-demand workloads from a fixed allowlist, including Sliver C2, BloodHound CE and Ghidra-based reversing, started by the orchestrator only when needed
  • Neo4j knowledge graph that records findings and attack paths across the engagement
  • Separate source-code vulnerability research pipeline (scanner, detector, verifier, exploiter, patcher) that confirms candidate bugs through independent evidence before writing a proof of concept and a patch
  • LiteLLM model routing with eco, max and test profiles and automatic provider fallback, including subscription sign-in for Claude, ChatGPT, Gemini, Copilot, SuperGrok and Perplexity and local models through Ollama
  • Terminal CLI, optional web dashboard, an MCP server for Claude Code and Codex, and a Python SDK on PyPI

Limitations

  • Only for systems and networks you have explicit written authorization to test; the project states that users are solely responsible for how they use it
  • Requires Docker and Docker Compose v2 plus an LLM API key or supported subscription, and you pay the model provider for usage
  • Runs a multi-container stack (LangGraph, LiteLLM, PostgreSQL, Neo4j, a Kali sandbox and optional C2 and BloodHound workloads); the docs recommend at least 4 GB of memory for the Kali sandbox alone
  • The 98.08% XBOW validation-benchmark result is self-reported by the project, measured black-box with each challenge's description and vulnerability tags supplied as context, which its own comparison notes is a different hint level from Strix's run
  • New Solo and Pro purchases of the hosted workspace are currently closed; live hosted operations require a request and a separate account
  • Model providers' cybersecurity content policies can refuse requests; the release notes say provider access remains provider-controlled
  • The Blue investigation mode depends on the separate AutoBot project, and the Offensive Vaccine attack-defend-verify loop is described as planned
  • The docs.decepticon.red overview says the site records the project's direction before a major refactor, so the GitHub README and repository docs are the more current reference

Use cases

  • Running an authorized internal red team exercise that chains initial access, privilege escalation and lateral movement through Sliver C2 sessions
  • Mapping and exercising Active Directory attack paths with BloodHound CE in a lab or a scoped client environment
  • Testing whether a blue team detects realistic, ATT&CK-mapped adversary behavior during a planned engagement
  • Running a registered red-team, pentest, bug-bounty or vulnerability-research workflow against scope the operator has approved
  • Following an engagement's transcript, OPPLAN and scope from Claude Code or Codex through the MCP server

Our take

Decepticon stands out among open-source AI security agents for aiming at red teaming rather than application scanning: it plans objectives, keeps interactive shells alive, and brings up C2 and BloodHound when the engagement calls for them. Its scope handling and network separation are documented in more detail than most projects in this space, which matters for a tool that can actually compromise hosts. The cost is operational weight, a multi-container stack, model spend and an expert operator, and its headline benchmark is self-reported and measured on web challenges, which says little about the post-exploitation work that sets it apart. Treat it as an assistant for experienced operators on authorized engagements, not a hands-off pentest service.

Who should use it

Red team operators and penetration testers who already run authorized engagements, can host a Docker stack, and want an agent that can carry an attack chain from recon through Active Directory compromise and C2 while they review scope and results.

Who should skip it

Anyone without explicit authorization for the target, developers who mainly want security checks in CI on their own web apps, teams that cannot share engagement data with an LLM provider or run local models, and organizations looking for a managed service they can buy today.

Strengths

  • Free and open source under Apache-2.0, with a very active release cadence
  • Covers post-exploitation, Active Directory, cloud and C2, not just web vulnerabilities
  • Scope is reviewed by the operator and enforced at runtime, and the planner cannot execute or broaden it
  • Clear isolation design: tools run in a Kali sandbox on a separate network from the management plane
  • Broad model choice with automatic fallback, subscription sign-in and local models
  • Usable from its own CLI and dashboard or from Claude Code and Codex through MCP

Weaknesses

  • Heavy self-hosted stack with several services and significant memory needs
  • Model costs and provider content-policy refusals are outside the project's control
  • Headline benchmark figure is self-reported and measured with hints
  • Hosted Solo and Pro plans are not open to new purchases
  • Documentation is split between a partly outdated docs site and the GitHub repository

Decepticon pricing

Self-hosted (open source)

Free

  • Apache-2.0
  • $0 platform fee
  • You run the Docker stack, isolation, upgrades and model keys

Free Preview

$0

  • Read-only guided sample engagement
  • Sample findings, evidence and reports
  • No card required

Solo

$19

Billed monthly

  • 12 active runtime hours per month
  • 1 concurrent agent run
  • Unlimited engagement records
  • New purchases currently closed

Pro

$39

Billed monthly

  • 24 active runtime hours per month
  • 2 concurrent agent runs
  • 3 workspace members and a shared browser
  • New purchases currently closed

Free tier limits: The hosted Free Preview is a read-only sample workspace with saved example data and does not run tests. Self-hosting has no plan limits; you pay your model provider.

Note: New Solo and Pro purchases are currently closed; Bitter Security asks prospective buyers with authorized targets to submit an access request. Model usage is separate from hosted plans: bring your own key, billed by your provider, or buy optional managed credit packs that do not expire.

Technical specs

Available models

Anthropic ClaudeOpenAI GPTGoogle GeminiMiniMaxDeepSeekxAI GrokMistralOpenRouterNvidia NIMLocal models via OllamaSubscription sign-in (Claude, ChatGPT, Gemini, Copilot, SuperGrok, Perplexity)

Where Decepticon excels

Internal network red team exercise

The orchestrator can chain recon, exploitation and post-exploitation through Sliver C2 sessions while scope from the rules-of-engagement file stays enforced, so an operator supervises the chain rather than typing every command.

Active Directory attack-path validation

The AD specialist and on-demand BloodHound CE workload cover Kerberoasting, ADCS abuse and path analysis, which web-focused AI pentesters do not attempt.

Supervising engagements from a coding agent

The MCP server lets Claude Code or Codex list engagements, follow the orchestrator transcript, inspect the OPPLAN, objectives and scope, and summarize progress; with the installed Docker stack, the docs say to start the engagement from the interactive CLI and observe it over MCP.

Decepticon vs. competitors

Decepticon vs. Strix

Strix is an Apache-2.0 AI pentesting tool for apps, APIs and code that validates findings, runs in CI with SARIF output, and has a paid cloud with PR reviews and autofix. Decepticon targets red team engagements with post-exploitation, Active Directory and C2, and runs as a heavier self-hosted stack.

Decepticon vs. Shannon

Shannon is Keygraph's AGPL-3.0 white-box pentester that needs source code plus a running web app and reports only demonstrated issues. Decepticon works black-box against network targets and goes beyond web vulnerabilities into lateral movement, Active Directory and C2.

Decepticon vs. Neo

Neo is ProjectDiscovery's commercial AI security platform with per-seat plans, covering web and API pentesting, PR review, report triage and internal-network red teaming in managed or bring-your-own sandboxes. Decepticon is free and open source, with you running the whole stack and supplying model keys.

Decepticon vs. XBOW

XBOW is a closed, sales-led platform that pentests internet-facing web apps and APIs with exploit validators, retests and audit reports. Decepticon is a free, self-hosted red team agent that also handles internal network, Active Directory and C2 work but leaves validation, reporting standards and operations to the operator.

Frequently asked questions

What is Decepticon?

Decepticon is an open-source autonomous red team agent from Bitter Security. An orchestrator builds an operations plan and dispatches specialist agents for recon, exploitation, post-exploitation, Active Directory, cloud and reversing, which run real offensive tools inside an isolated Kali Linux sandbox against targets the operator has approved.

Is Decepticon free and open source?

Yes. The code is on GitHub under the Apache-2.0 license, and self-hosting has no platform fee. You run the Docker stack yourself and pay your LLM provider, or use a supported subscription or a local model.

How much does the hosted version of Decepticon cost?

The pricing page lists a free read-only preview with a sample engagement, Solo at $19 per month (12 active runtime hours, one concurrent agent run) and Pro at $39 per month (24 runtime hours, two concurrent runs, three workspace members). New Solo and Pro purchases are currently closed, and access to live operations is by request. Model usage is billed separately, either through your own key or optional managed credit packs.

What do I need to run Decepticon?

Docker with Docker Compose v2 and an LLM API key or supported subscription. It installs with a one-line script on macOS, Linux and Windows (native PowerShell or WSL2), and `decepticon onboard` sets the provider, key and model profile. The docs recommend at least 4 GB of memory for the Kali sandbox.

How does Decepticon keep engagements in scope?

Each Red engagement starts with the operator entering targets and exclusions, reviewing the normalized scope and saving it as a machine rules-of-engagement file that the runtime enforces on gated tool calls; it refuses to run without one. The planning agent cannot execute offensive work or rewrite scope, and the hosted site says out-of-scope actions are blocked before they run. It must still only be pointed at systems you are authorized to test.

Which models does Decepticon support?

It routes through LiteLLM, with tier-mapped support for Anthropic, OpenAI, Google Gemini, MiniMax, DeepSeek, xAI, Mistral, OpenRouter, Nvidia NIM and local Ollama, plus subscription sign-in for Claude, ChatGPT, Gemini, Copilot, SuperGrok and Perplexity. Eco, max and test profiles assign stronger or cheaper models per agent role, with automatic fallback.

Decepticon vs Strix: what is the difference?

Strix is an open-source AI pentesting tool focused on applications, APIs and code, with CI-friendly output and a paid cloud platform with PR reviews and autofix. Decepticon is a red team agent aimed at full attack chains, including post-exploitation, Active Directory, lateral movement and C2, run from a self-hosted multi-service stack.

Integrations & fit

DockerKali LinuxSliver C2BloodHound CEGhidraNeo4jLiteLLMLangGraphClaude CodeCodexAnthropicOpenAIGoogle GeminiOpenRouterOllama
Good fit forSolo / individual, Startup / small team, Enterprise
Pricing modelFreemium· Free tier available
See pricing on Decepticon →

Alternatives to consider

About Decepticon

Decepticon is built for red teaming rather than vulnerability scanning: instead of checking a target against a list, it pursues objectives through a chain of techniques the way an adversary would, from recon and initial access through privilege escalation, lateral movement and command and control. Every Red engagement starts with the operator entering in-scope targets and exclusions; the launcher normalizes them, shows the exact resulting scope for review, and writes a machine-readable rules-of-engagement file (with a seven-day authorized window when created from the CLI) that the runtime enforces on gated tool calls and refuses to run without. An optional Plan mode uses a planning agent, Soundwave, to discuss assumptions and draft a threat profile, concept of operations, deconfliction, abort and cleanup documents; it cannot execute offensive work or change scope. In execution, the Decepticon orchestrator owns an OPPLAN of dependent objectives and hands each one to a specialist with a fresh context window, so long engagements do not accumulate noise. Specialists run tools such as nmap, sqlmap, Impacket, msfconsole and the Sliver C2 client inside persistent tmux sessions in a Kali container on a separate operational Docker network from the management plane, findings go to a Neo4j knowledge graph, and heavyweight workloads such as BloodHound CE, Sliver C2 and Ghidra-based reversing are started on demand from a fixed allowlist. Models route through LiteLLM with eco, max and test profiles and automatic fallback across Anthropic, OpenAI, Google, DeepSeek, xAI, Mistral, OpenRouter, local Ollama and others, including subscription sign-in. You can drive it from its terminal CLI, an optional web dashboard, Claude Code or Codex through its MCP server, or build on it with the Python SDK. Bitter Security also runs a hosted workspace with Solo and Pro plans, but new purchases are currently closed and live access is by request. The tradeoffs: you operate a multi-container Docker stack and pay your model provider, it is a tool for experienced operators on systems they are explicitly authorized to attack, the project's headline XBOW benchmark result is self-reported, and parts of the vision, such as the Offensive Vaccine attack-defend-verify loop, are still planned.

Updates from Decepticon

New FeatureDecepticon 2.1.1 to 2.2.2 releases

Between October 26 and October 28, 2026, Decepticon shipped v2.1.1 through v2.2.2. v2.2.1 fixed asynchronous engagement runs (including MCP-started engagements) crashing on 2.2.0 and made the planner reject operations plans that would deadlock dispatch; v2.2.2 added options to build a leaner sandbox image and pinned and checksum-verified recon tools such as subfinder, httpx and nuclei.

LaunchDecepticon 2.0.0 released

Decepticon 2.0.0 reworked the terminal CLI with a fixed conversation layout, mouse controls and a status footer, changed /resume to open saved sessions, separated chat replies from assessment runs so greetings and status questions no longer trigger engagements, and refreshed approval from the current launch context on resume.

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