AgentGuard Audit
A pre-deployment red-team platform that bombards your multi-agent LLM pipeline with operational-reframing and approval-framed delegation attacks, then decomposes the failure modes so leadership sees exactly where the risk sits.
CISOs and AI governance leads at enterprises deploying multi-agent LLM pipelines
- Library of 30+ attack scenarios drawn from agent-safety benchmarks, runnable against your pipeline
- Per-model and per-pairing compliance score with refusal-vs-reframing breakdown
- Board-ready PDF showing the four mechanisms (reframing, planner behavior, delegation framing, model pairing) separately
- Regression alerts when a vendor model update flips a previously safe pairing
The paper shows aggregate 'pipeline effect' can mask a 4x compliance jump from model pairing alone (Gemini 8.9% to 38.9%), and the EU AI Act and SEC AI guidance are now demanding exactly this kind of pre-deployment evidence.
RSAC 2025 coverage explicitly framed the AI agent era as driving CISOs to demand pre-deployment proof; multiple red-team frameworks (PyRIT, DeepTeam, Garak) and EU AI Act obligations confirm real enterprise pull.RSAC 2025: Why the AI agent era means more demand for CISOs ↗How AI Agents Are Governed Under the EU AI Act ↗
Direct competitors already exist — AptaSentry (enterprise AI red teaming platform), Confidence AI DeepTeam, plus open-source PyRIT/Garak/Promptfoo — crowding the general LLM red-team space, though none specifically attack multi-agent operational-reframing/delegation failure modes.AptaSentry | AI Red Teaming and Agent Security Platform ↗DeepTeam — LLM red teaming framework ↗
Enterprise compliance-driven buyers (CISOs, AI governance leads) typically command high willingness-to-pay, and EU AI Act penalties (up to 7% of revenue) plus SEC disclosure pressure justify premium pricing — though no public competitor pricing was confirmable.LLM Red Teaming Playbook: Enterprise Security Testing Guide 2025 ↗EU AI Act Compliance Guide (HCLTech) ↗
EU AI Act (Regulation 2024/1689) is enacted law with phased enforcement obligations through 2026+, and SEC AI disclosure guidance plus the OWASP GenAI Top-10 create durable regulatory and standards-driven demand that outlives any single model release cycle.Regulation (EU) 2024/1689 — AI Act ↗LLM Security 101 reference guide ↗
Buildable by wrapping open-source attack libraries (PyRIT, DeepTeam) with multi-agent simulation harnesses and a failure-decomposition dashboard, but the operational-reframing attack taxonomy, multi-agent orchestration, and leadership-grade reporting layer are non-trivial to engineer correctly.Red Teaming LLM: Playbook for Secure GenAI Deployment ↗