Use AI to attack our own systems first
Use AI to probe and attack a company's own systems and defenses before an outside adversary does. 10 products across 9 companies in the Ludbee catalogue carry this task — all within one layer of the stack: 9 Application.
Filter the whole directory by this job to sort and compare these products.
Where these run
- SaaS
- 9 of 10 products that record it
- Self-hosted
- 3 of 10 products that record it
- Private cloud
- 2 of 10 products that record it
One product can run more than one way — the counts above are of records, not of products.
What this page does not claim
This list carries no score and no recommendation, and one order only: inside each layer, a company whose product for this task is marked AI feature — sold for another job, with AI as one function its own page names — comes after the rest, A–Z within each. The standing rule that applies to the whole directory applies here too: no payment changes a figure, a ranking or the order of any list, this one included. Nor can it yet say what governs any of these products once deployed — what data they can reach, what they are certified against, whether a vendor trains on what you send it. That field is defined in the ontology and is populated on none of the 3,888 products in the catalogue yet, so a page that leaned on it would be promising an answer the data cannot back. It will say so here the day that changes.
The companies
Application (9)
- Amazon — AWS Continuum
- Anaconda — AI Security & Guardrails
- Check Point Software Technologies — Agentic Exposure Validation, AI Red Teaming
- Enkrypt AI — Enkrypt AI
- HiddenLayer — HiddenLayer AI Attack Simulation
- Microsoft — AI Red Teaming Agent
- Palo Alto Networks — Prisma AIRS AI Red Teaming
- Sonar — SonarQube Hunter Agent
- Zscaler — Zscaler AI Red Teaming