PHP2Shell: Your Entire Vendor Portfolio Could Be at Risk. Where Do You Start?

Vendors add AI after you approve them, and employees adopt AI tools that never reach review. Learn how Lema's AI Governance discovers third-party AI, assesses its exposure, and surfaces where actual usage has drifted from the approved state.

Lema's MCP server connects your vendor risk data directly to Claude, Cursor, or any MCP-compatible AI tool. Learn how querying assessments, monitoring alerts, and vendor status in plain language replaces manual exports and report prep.

Gartner recognized Lema AI as a Sample Vendor in two 2026 Hype Cycle reports. See what it signals for continuous third-party risk monitoring.

Shadow AI has become one of 2026's fastest-growing third-party risk vectors. See why unsanctioned AI tools are really unvetted sub-vendors, and the five questions every TPRM program should be asking now.

Enterprises have spent years building third-party risk programs around evidence collection: security questionnaires, audit reports, and penetration tests. Yet when a vendor gets breached, security teams still struggle to answer the question that matters: what exposure did that vendor actually create inside the environment?

Learn about the AICPA peer review gap where new CPA firms appear compliant to the SOC 2 market before their initial review is due.

What the Vercel breach reveals about shadow IT, fourth-party risk, and OAuth scope drift, and what TPRM programs need to address today.

SOC 2 reports can be fabricated. Learn four concrete red flags — from unverifiable auditors to mismatched infrastructure — that distinguish a real audit from a fake one.

A guide to evolving TPRM using AI that simulates attacker behavior to identify vulnerabilities and architect secure vendor connections rather than relying on audits.

Traditional TPRM fails with vendor sprawl. Discover why compliance theater must stop and how Risk Engineers analyze real threats instead of checking boxes.

I've spent my career as an elite security researcher hunting vulnerabilities. My job has always been to think like an attacker: find the gaps and exploit the loopholes.

Learn the real architecture behind forensic risk engines — orchestration, risk graphs, adversarial agents, and continuous vendor risk monitoring.