Offense-first AI red teaming.
For teams building AI applications.
DefendML attacks authorized customer-owned AI applications and agents with adversarial scenarios, then retains evidence so teams can review what happened.
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.
Completed scans produce structured evidence, with applicable findings mapped 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 the testing workflow, reports, and product decisions.
Red Team First
We approach every AI system the way an attacker would — looking for gaps in safety layers, prompt handling, and data handling before they become exploitable vulnerabilities.
- →415 documented adversarial scenarios
- →20 configured AI attack categories
- →Target profiles for chat, agent, MCP, and API workflows
- →Real attack prompts — not synthetic safety checks
Speed & Transparency
DefendML targets evidence delivery within 24 hours. Reports distinguish attack prompts and observed response evidence from classifier interpretation and the final verdict.
- →24hr evidence-delivery target
- →Retained prompts, observed evidence, interpretation, and verdict
- →Applicable mappings across 7 security frameworks
- →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 — without requiring a large security program to begin testing.
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
Reports retain the attack prompt, observed response evidence, classifier interpretation, final verdict, and applicable framework mappings.
Self-Service Speed
Register an authorized AI endpoint, configure access, and work toward DefendML's 24-hour evidence-delivery target.
Accessible Pricing
Free Beta lets teams run a real AI red-team scan and view findings in the portal. Paid Report Export creates downloadable, printable, and shareable evidence.
The Team
DefendML is founder-led, grounded in 20 years of IT operations and security experience, including four SOC 2 audits. Product, methodology, evidence, and release decisions remain under human accountability.
Meet the Team →Ready to Attack Your AI?
Try it now. Scan your AI app for free. See what breaks. Export formal evidence when you need it.