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 scenario-based offensive tests.
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.
Scope-specific
Offensive Testing
50–160
Base Profile Prompt Budgets
7
Security Frameworks
24hr
Evidence-Delivery Target
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.
- →Scenario-based adversarial testing
- →20 configured AI attack categories
- →Testing through supported HTTP AI application endpoints
- →Executed scope and retained evidence recorded per assessment
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
- →Complete PDF evidence and CSV/JSON summaries with export entitlement
Our Mission
Model-level safety controls do not establish the security of an application built on top. Application integrations and permissions need their own authorized testing and evidence.
Risks can arise from model behavior, system prompts, API integrations, retrieval pipelines, and multi-turn flows. Pre-deployment testing can reveal failures within the tested scope; it cannot rule out every vulnerability.
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 Access lets teams run a real AI red-team scan and view findings in the portal. Approved organizations can use complete PDF evidence Reports plus summary CSV and JSON exports.
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?
Scan your AI app for free and review findings in the portal. Evidence exports require an organization export entitlement.