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// Offensive security for AI systems

antagon@redteamshell:~$

Antagon

We attack your AI before something else does.

Adversarial testing for LLM apps, agents, and the AI supply chain. Every finding is proven with a working exploit and signed off by a certified operator — not a scanner's guess. Mapped to the OWASP LLM Top 10 and MITRE ATLAS.

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// Three fronts, one adversary

// attack path GUARDRAIL BYPASSED user prompt ⚠ injected AGENT llm · tools tool: http tool: shell memory · rag exfil → PROMPT_INJECTION · TOOL_ABUSE
[01]

Agent & LLM Red Teaming

Break the model. Break the agent. Prove it.

The surfaces scanners can't reason about — attacked in multi-turn chains, not one-shot payloads. Every bypass documented with a reproducible proof-of-concept.

  • Direct + indirect prompt injection
  • Jailbreak & guardrail bypass (multi-turn)
  • System-prompt / context extraction
  • Tool, function-call & MCP abuse
  • Agent hijacking, memory & RAG poisoning
  • Data exfiltration via agent actions
// pull request PR #payload — diff function getInvoice(req) { - db.query(`...WHERE id=${req.params.id}`) + if (invoice.owner !== req.user) + throw Forbidden() } IDOR / broken access control CRITICAL ↳ fix opened as PR #patch data-flow traced across 3 files // ci/cd ✓ build ✓ test ✗ antagon deploy merge: HELD
[02]

Agentic Code-Review & PR Gate

Every commit reviewed. Every AI-written line questioned.

Semantic, data-flow-aware review that runs in the pull request — not a pattern matcher that buries you in false positives. Confirmed issues come back as a fix PR.

  • Data-flow analysis across files & frameworks
  • Access control, IDOR/BOLA & business logic
  • Insecure AI-generated pattern detection
  • Fix delivered as a reviewable PR
  • CI/CD merge gate, low-noise by design
// model supply chain upstream model weights deps poisoned your app trust_remote_code pickle fallback MCP: untrusted integrity manifest sha256 a1b2c9…4f ok sha256 7e0da1…9c ok sha256 f9c3b7…01 mismatch provenance UNTRUSTED 1 link compromised
[03]

AI Supply-Chain & Model-Trust

Your model stack is attack surface. We audit it.

The AI supply chain fails quietly — untrusted loads, poisoned dependencies, over-trusted plugins. We audit it before any of it reaches production.

  • Model provenance & integrity checks
  • trust_remote_code & untrusted loads
  • Unsafe deserialization / pickle fallbacks
  • Dependency & model-poisoning review
  • MCP server, plugin & tool vetting

// Also from RedTeamShell

External attack surface assessment

Our original engagement — the classic external pentest, run through the same multi-agent pipeline. From domain to deliverable, faster than a traditional assessment and at a fraction of the cost.

[01] RECON

Full attack surface mapping

Passive OSINT across Shodan, SecurityTrails, WHOIS, DNS, cert transparency, and more — assembled into a unified target profile.

[02] INTEL

Threat intel & CVE mapping

Discovered services matched against live vulnerability databases. Exploitability scoring with MITRE ATT&CK technique mapping.

[03] DEBATE

Red vs Blue adversarial AI

A red team agent argues attack paths. A blue team agent challenges each finding. Multi-round debate produces accurate, peer-reviewed risk ratings.

[04] SCAN

Active vulnerability verification

Active scanning via an AI-powered engine — verifies findings against live targets within your authorised scope.

[05] HUMAN

Certified pentester review

Managed tier: an OSCP / HTB CPTS certified operator manually exploits confirmed findings and documents proof-of-concept evidence.

[06] REPORT

Executive + technical PDF

Branded PDF report covering executive summary, technical findings, CVSS scores, remediation roadmap, and engagement notes.

// operator-led, not scanner-led — both offerings run on the same multi-agent pipeline, and every critical finding is exploited and signed off by a certified operator (OSCP / HTB CPTS). Proof, not probability.
Professional

Full analysis

One AI system or one domain. Full pipeline, OWASP LLM Top 10 + ATLAS or CVE coverage, PoC evidence, remediation roadmap, PDF report.

Managed

Human-verified

AI pipeline plus a certified operator who manually exploits and demonstrates every critical finding. For anything customer-facing.

Enterprise

White-label

API access, custom branding, CI/CD-gated PR review, dedicated SLA, team seats, and integration support.

Onboarding design partners — validating findings on live AI systems before public launch.