security · 1 min read
OWASP LLM Top 10 in Practice: Bhogar AI Controls Mapped
A practitioner walkthrough of the OWASP LLM Top 10 with the specific Bhogar AI controls that mitigate each risk.
BABhogar AI TeamProduct & Engineering
The OWASP LLM Top 10 is the most useful security framework for LLM applications today. Mapping platform controls to each risk turns it from a checklist into operational guidance.
Why it matters
Most teams read the Top 10 once and never operationalise it. Production-grade AI security treats each risk as a control category with measurable coverage.
How Bhogar AI approaches it
Bhogar AI ships explicit controls for each Top 10 item: input/output guardrails for LLM01 prompt injection, output handling for LLM02, supply-chain monitoring for LLM05, etc. The controls are auditable and enforceable per workspace.
- Per-risk control mapping documented
- Default-on guardrails for LLM01-LLM10
- Per-workspace policy enforcement
- Audit log of every control activation
- Annual third-party security review
What you get
Security teams approve Bhogar AI rollouts faster because the OWASP mapping answers most of their first 50 questions up front.