Offense-first AI red teaming.
From startups to Fortune 500.
DefendML attacks AI systems with real adversarial scenarios — so you find vulnerabilities before adversaries do, and generate the audit-grade evidence security teams need to prove it.
What We Do
DefendML is an offensive AI red team testing service. We simulate real adversarial attacks against your AI applications — prompt injection, jailbreaks, data extraction, agent abuse, and more — using a library of 415 documented attack scenarios.
Every scan produces a structured evidence report mapping results to 7 industry frameworks: OWASP LLM Top 10, OWASP Agentic Top 10, NIST AI RMF, MITRE ATLAS, ASL-3, SOC 2 / ISO 27001, EU AI Act.
Built for security teams, auditors, and enterprise procurement reviews — not just internal developers.
415
Attack Scenarios
100–160
Prompts Per Scan
7
Security Frameworks
24hr
Delivery Window
Our Approach
Two principles that shape every scan, every report, and every product decision.
Red Team First
We approach every AI system the way an attacker would — looking for gaps in safety layers, prompt handling, and data isolation before they become exploitable vulnerabilities.
- →415 documented adversarial scenarios
- →20 attack categories covering all major AI threat classes
- →Architecture-aware scanning (Chat, RAG, Agent, API)
- →Real attack prompts — not synthetic safety checks
Speed & Transparency
Evidence in 24 hours — not months. Every attack prompt, every response, and every framework mapping is visible in your report. No black-box scoring. No opaque results.
- →24hr from target registration to signed evidence
- →Full attack transcripts — prompt, response, classification
- →7-framework coverage in every scan
- →PDF, JSON, and CSV export for auditors
Our Mission
AI applications are being deployed faster than they are being tested. Most teams rely on the model provider's safety layers — but the model provider secures the model, not the application built on top of it.
Vulnerabilities live in system prompts, API integrations, RAG pipelines, and multi-turn flows. These are not model problems. They are application problems — and most are discoverable before they become breaches.
Our mission is to make offensive AI red team testing accessible to every team building on AI — not just enterprises with six-figure security budgets.
Why We're Different
Purpose-built for offensive red team testing — not retrofitted from a defensive security service.
Security-First
Built by security practitioners — not software vendors retrofitting security features. Every decision starts from the attacker's perspective.
Fully Transparent
You see every attack prompt, every response, and every framework mapping. No black-box scoring. Audit-grade evidence you can stand behind.
Self-Service Speed
Register your AI endpoint, configure authentication, and get a full evidence report in 24 hours — no lengthy onboarding or professional services required.
Accessible Pricing
$2,500 Pilot gets you 100 real attack scenarios, 7-framework evidence, and 24hr delivery. Traditional manual engagements start at $16,000+.
The Team
DefendML is built by security and engineering practitioners with 20+ years of hands-on experience in IT operations, AI architecture, and enterprise security assessments. We've been on the auditor's side of the table — and we built the tool we wished we'd had.
Meet the Team →Ready to Attack Your AI?
Run 415 adversarial scenarios. Get audit-grade evidence in 24 hours. $2,500 Pilot.