A Governance Framework for the New AI Frontier
Conventional risk and security frameworks were not designed for the decentralized, dynamic nature of public AI ecosystems. The "AI Attack Surface" exists outside your perimeter, constantly evolving and interacting with customers, partners, and adversaries. A new, purpose-built governance model is required. The External AI TRiSM framework provides a structured methodology for enterprises to audit, manage, and secure their brand's truth across all public AI platforms.
The Trust Pillar: Verifying Your Digital Truth
In the AI era, trust is a verifiable asset. Hallucinations and misinformation spread at unprecedented scale, eroding customer confidence and corrupting your brand's digital identity. The Trust pillar establishes a system for verifying factual accuracy. It involves validating AI-generated information against your organization's verified "single source of truth," providing an auditable record of your brand's official stance and actively combating the spread of inaccuracies. This is the foundation of a resilient and trustworthy AI presence.
The Risk Pillar: Governing Compliance and Reputation
Your AI Attack Surface is a significant source of enterprise risk. AI models can inadvertently generate content that breaches regulatory requirements, misrepresents financial information, or amplifies negative sentiment. The Risk pillar focuses on continuous monitoring to detect and classify these compliance and reputational threats. It provides the necessary oversight to quantify exposure, govern brand perception, and ensure your presence within AI ecosystems aligns with corporate governance and regulatory obligations.
The Security Pillar: Neutralizing AI-Powered Threats
Adversaries are now weaponizing public AI models to target your enterprise. The Security pillar addresses the urgent cybersecurity challenges emerging from this new threat landscape. This includes detecting sophisticated AI-generated phishing content, identifying attacker reconnaissance patterns, preventing sensitive data leaks, and mitigating impersonation risks. It extends the CISO's visibility and control beyond the traditional perimeter to the AI-native threats that define the new attack surface.
A Framework Built for the Realities of Today's AI Ecosystem
The External AI TRiSM framework is not theoretical—it is a practical, actionable methodology designed to address the specific governance challenges created by public AI models. Implemented through the Lawnise platform and supported by our dedicated team of AI Risk Intelligence Analysts, this framework provides the structure and expertise needed to transform your AI Attack Surface from an unmanaged vulnerability into a governed, strategic asset.
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