security · 1 min read
Red Teaming AI Systems: A Practical Playbook
Red teaming AI is different from red teaming web apps. Here is the playbook Bhogar AI uses internally and runs for enterprise customers.
BABhogar AI TeamProduct & Engineering
Red teaming AI is its own discipline: the attack surface includes prompts, retrievals, tools and trained behaviours. Web-app red teaming techniques cover only a slice.
Why it matters
A useful AI red team mixes prompt-injection specialists, content-policy testers, social engineers and traditional appsec engineers. Output should be reproducible test cases and ranked findings.
How Bhogar AI approaches it
Bhogar AI runs internal red-team campaigns quarterly, publishes summarised findings to customers and offers managed red-team engagements for enterprise plans.
- Quarterly internal red-team campaigns
- Reproducible test-case library
- Customer-facing summary reports
- Managed red team for enterprise plans
- Coordinated disclosure for findings
What you get
Customers gain confidence in the platform's security posture from independent evidence, not just marketing claims.