AI security
AI product risk needs adversarial evidence, not vague assurances.
Pentoma AI Red Teaming helps teams test how LLM, RAG, and agentic systems behave when prompts, context, tools, and permissions are pushed off the happy path.
Risk areas
Pentoma focuses on how AI systems fail in production-like conditions.
The output is concrete: prompt replay, observed behavior, impact, and a remediation path the product team can own.
Prompt injection that overrides system intent or trusted context.
Sensitive information disclosure from model responses or connected tools.
Unsafe tool invocation, plugin abuse, and agent boundary failures.
Downstream output handling that exposes users, systems, or internal data.