Complete Integrity View
Coverage across sources, prompts, retrieval, agents/tools, and post-processing—prioritized by business impact.
LLMs and RAG systems are uniquely vulnerable to indirect prompt injection, poisoned documents/feeds, coordinated narratives, and authenticity bypass. Forgepath models how adversaries seed or steer your inputs and outputs—across web-sourced content, connectors, and agent tool calls—and then executes safe, instrumented attacks to see what’s actually exploitable under your policies and guardrails.
We prioritize areas with real-world impact: retrieval source trust, ranking/filters, system prompts and safety rules, agent tool permissions, output post-processing, and provenance signals (C2PA/watermarks) where present. You’ll receive reproducible findings with transcripts, payloads, and concrete mitigations (policy updates, source controls, filters, gating, and routing patterns) so engineering and policy owners can act quickly.
Coverage across sources, prompts, retrieval, agents/tools, and post-processing—prioritized by business impact.
Findings reflect how attackers seed narratives, poison inputs, or steer tools—not theoretical lists.
Attack transcripts, payloads, and conditions mapped to observed behavior and risk.
Policy updates, source controls, filters, and routing patterns your teams can implement now.
Guardrails that shrink PII/IP exposure and dampen misleading or fabricated outputs.
Safety telemetry, provenance cues, and escalation routes that keep integrity protections working overtime.