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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.

See Bhogar on your own data

Book a 45-minute working session. We connect one of your sources, build one agent, run one governed workflow, and review the trace together.