The Schellman Blog

Enterprise AI systems are no longer simply running models that predict or classify; they’re now deploying agents that plan, reason, and act autonomously. These agentic systems have the ability to browse the web, write and execute code, make purchasing decisions, and interact with other systems across your organization, often with minimal human oversight involved.

AI is embedded in hiring decisions, customer service workflows, financial systems, and product development pipelines, among other essential business operations and services. AI undoubtedly comes with enhanced efficiency, scalability, and productivity, but it also brings concerns around risks, bias, transparency, reliability, and security.

As organizations scale their use of AI systems in key business processes, customer-facing products, and high impact decisions, the question is no longer whether AI can deliver value, but whether it can be deployed in a way that is reliable, secure, fair, and sustainable over time.

In the ever-changing world of information technology, the biggest topic of discussion is artificial intelligence (AI) and the influence it is having on security, compliance, and the administration of data. However, regarding data, the most important consideration should be how AI will impact our personal health information (PHI).

As artificial intelligence continues to rapidly evolve, from generative tools to increasingly autonomous systems, governments around the world are accelerating efforts to formalize AI governance. Regulatory frameworks are becoming enforceable on legal requirements that shape how AI systems are designed, deployed, and monitored.

As the EU AI Act moves from legislation to implementation, organizations across Europe and beyond are working to operationalize AI governance in practical, auditable ways. Compliance and governance leaders, AI product teams, and executives are asking the same question: How can we demonstrate EU AI Act compliance in a structured and defensible way?

Artificial intelligence is reshaping the cyber threat landscape as attackers have already begun weaponizing AI to dramatically accelerate phishing, reconnaissance, payload development, and attack execution.

TAMPA, Fla. and SAN FRANCISCO, February 3, 2026 – Schellman, a leading provider of attestation and compliance services, today becomes the first authorized auditor of AIUC-1, the comprehensive security, safety, and reliability standard for AI agents, marking a significant milestone in AI compliance. As enterprises accelerate AI adoption and systems become more agentic, they face mounting challenges: security leaders confront novel attack vectors, legal teams navigate uncertain liability, and procurement processes slow under bespoke risk assessments. AIUC-1 addresses these challenges with a comprehensive, actionable standard specifically designed for AI agents.