Secure & Audit
Adversarial Robustness Probe
Seven attack types against NLP and vision models, measuring prediction flip rates with shareable HTML reports.
Built by NEO
The 4-step NEO workflow
- 1
Describe the task
State the risks you need to test and the policies that must hold.
- 2
Add context for NEO
Share prompts, tools, data classes, and compliance requirements.
- 3
NEO implements & delivers
NEO builds probes, defenses, and an audit report.
- 4
Follow up or test it out
Re-run after prompt or model changes to catch regressions.
Ask NEO
How to run this scenario
Harden "Adversarial Robustness Probe" with systematic probes, guardrails, and audit-friendly evidence.
Approach
What NEO focuses on
- Map attack surfaces: prompts, tools, outputs, and data paths
- Run red-team probes and bias checks with reproducible suites
- Ship defenses and reports stakeholders can review
Outcomes
What you get
- Documented threat model and mitigations
- Regression suites for jailbreaks and policy violations
- Evidence for compliance and release reviews
Ready to try for yourself?
Open NEO in VS Code or Cursor and describe this scenario. NEO plans the work, runs experiments, and ships artifacts you can review and iterate on.