Offensive AI
Red Team Testing
Attack Before They Do.™
415 attack scenarios. 9 specialized attack stages. Built for authorized testing of customer-owned LLMs, AI agents, and agentic workflows. Scout identifies weak spots and the adaptive pipeline redirects attack pressure during execution. Ambiguous responses are evaluated semantically and presented with supporting evidence.
No credit card required · Real in-portal findings · Paid exports: PDF / CSV / JSON
Why DefendML is Different
We find vulnerabilities. Your runtime security controls address them.
Offensive-First Approach
Purpose-built for pre-deployment offensive red team testing. Runtime monitoring and enforcement remain separate security-control responsibilities.
Built for the Frontier AI Era
9 specialized attack stages apply adaptive pressure against your AI endpoint and preserve execution evidence for review.
Built by Practitioners
Founder-led by a practitioner with 20 years in IT operations and security, including four SOC 2 audits.
Context-Aware Remediation Guidance
Maps recommended fixes to recorded findings using attack category, evidence, and finding context. DefendML does not apply fixes automatically.
Offensive AI Red Team Testing as a Service
DefendML ATTACKS AI systems, AI agents, and agentic workflows to find vulnerabilities. Pure offensive testing.
415 Attack Scenarios
Execute adaptive red team attacks against an AI implementation you own or are authorized to test. 9 specialized attack stages redirect pressure during execution.
- ✓CBRN synthesis & dual-use enablement
- ✓Jailbreak + prompt injection resistance
- ✓PII leakage + data exfiltration
- ✓Cybersecurity attack enablement
- ✓Multi-turn attack sequences — simulates real attacker behavior
- ✓Custom attack objectives — describe your scenario in plain English
Context-Aware Remediation Guidance
Recorded findings can include recommended fixes derived from attack category, retained evidence, and finding context.
- ✓Recommended fixes mapped to findings
- ✓Defense layer attribution (L1–L4)
- ✓Priority-ranked remediation guidance
Evidence-Ready Reports
Generate evidence-ready reports with findings mapped to OWASP, NIST, MITRE, ASL-3, SOC 2/ISO, and EU AI Act where applicable. Export PDF/CSV/JSON for security review.
- ✓Multi-format export (PDF / CSV / JSON)
- ✓Decision rationale + timestamps
- ✓Mapping across 7 frameworks where applicable
Agentic AI Attack Testing
Purpose-built attack scenarios for AI agents, tool-enabled workflows, and agentic trust boundaries.
- ✓Agent-to-agent communication attacks
- ✓Non-human identity exploitation
- ✓Prompt injection in autonomous workflows
- ✓Agentic supply chain vulnerabilities
Adaptive Scan Selection
Scan selection responds to the configured target, objective, and recorded execution profile. Scout can direct additional pressure toward identified weak spots during execution. Each scan runs 100–160 prompts from the 415-scenario library. Ambiguous responses are evaluated semantically and shown with supporting evidence.
Scan Your AI for FreeHow It Works
Three steps to offensive AI security testing and evidence-ready reporting.
Connect Your AI Target
Connect only an AI endpoint, agent, or agentic workflow you own or are authorized to test. Organization-scoped portal access controls apply.
Run Offensive Red Team Scans
Execute 100–160 adaptive prompts drawn from our 415-scenario library — Scout identifies weak spots, then specialized attack stages redirect pressure. CBRN, jailbreaks, PII leakage, cyber enablement — real offensive testing.
Export Evidence + Guidance
Get evidence-ready reports with context-aware remediation guidance. Evidence-delivery target: 24 hours. Export PDF/CSV/JSON for security review.
Evidence, Not Claims
DefendML retains attack prompts, observed response evidence, semantic classifier interpretations, and final finding verdicts for security review.
Live Dashboard
Review authorized targets, retained scan results, severity, block rates, and recorded timestamps in the authenticated portal.
Multi-Format Export
Export evidence in PDF (auditors), CSV (data teams), or JSON (automation). Built for security reviews and audit workflows.
7-Framework Mapping
Findings can map to OWASP LLM Top 10, OWASP Agentic Top 10, NIST AI RMF, MITRE ATLAS, and additional configured frameworks where applicable. The library includes ASL-3-aligned dual-use and CBRN testing coverage without an absolute percentage claim.
Findings mapped across 7 security and governance frameworks where applicable
Free-first AI red team testing
Try it now. Scan your AI app for free. See what breaks. Pay only when you need formal evidence outside the product.
Free Beta
- ✓Run a full AI red-team scan
- ✓View real findings in the portal
- ✓See evidence, severity, category, risk summary, and recommended fixes
- ✓No formal export included by default
Report Export
- ✓Downloadable / printable PDF report
- ✓CSV/JSON export
- ✓OWASP/NIST evidence package
- ✓Executive summary
- ✓Shareable / portable evidence
Enterprise
- ✓Continuous testing
- ✓Team access
- ✓Audit logs
- ✓Advanced reports
- ✓Governance evidence
- ✓Support / founder review
Enterprise — Custom
Continuous testing · Team access · Audit logs · Advanced reports · Governance evidence · Support
Free scans show real findings in the portal. Paid export turns those results into downloadable, printable, and shareable evidence.
Frequently Asked Questions
Try it now. Scan your AI app for free.
See what breaks inside the portal. Downloadable, printable, and shareable evidence is available through paid report export.