Independent AI Audits: How Captain Compliance Helps Organizations Prepare for Emerging AI Regulations
Artificial intelligence is transforming the way organizations operate. From automating customer support and generating marketing content to improving fraud detection and streamlining software development, AI has become an essential business tool across nearly every industry. As AI capabilities continue to evolve, lawmakers are shifting from voluntary AI ethics principles toward enforceable regulations requiring organizations to […]
Illinois’ Landmark AI Regulation – Governor Pritzker’s AI Law
Understanding Illinois’ Artificial Intelligence Safety Measures Act and Why Independent AI Audits Could Become the New Standard for AI Governance. Getting help from privacy and AI Governance experts who can assist with the 3rd Party AI Auditing and keep ypu compliant with the wave of new AI laws is important. Artificial intelligence regulation is no […]
State AI Laws: Colorado, Texas, California, New York, Illinois, and Utah
The United States does not have one clean federal AI law that tells companies exactly what to do. That is the problem. Instead, companies are getting a patchwork. Colorado is regulating automated decision-making technology used in consequential decisions. Texas has passed a statewide AI governance law with prohibited AI uses and enforcement authority. California is […]
Artificial Intelligence Safety Measures Act
Everything Organizations Should Know About the Artificial Intelligence Safety Measures Act and Preparing for AI Compliance with the help of Captain Compliance Introduction Artificial intelligence is rapidly transforming nearly every industry, from healthcare and financial services to retail, manufacturing, education, and cybersecurity. Organizations are increasingly relying on AI-powered tools to automate business processes, improve customer […]
AI Governance Software: What Features Companies Actually Need
AI governance software is going to become one of those categories every company suddenly realizes it needs after the problem is already messy. At first, most teams think they can manage AI governance with a spreadsheet. Then the spreadsheet becomes five spreadsheets. Then legal has a separate vendor tracker. Privacy has a data map. Security […]
NIST AI RMF Explained for Privacy, Legal, and Compliance Teams
The NIST AI Risk Management Framework is one of the most useful AI governance tools for companies that are trying to figure out how to manage artificial intelligence without turning the business into a policy graveyard. It is not a law. It is not a certification. It is not a magic shield against regulators, customers, […]
EU AI Act Compliance for U.S. Companies
A lot of U.S. companies are going to misunderstand the EU AI Act until it is too late. They will assume it only applies to European companies. They will assume it only applies to OpenAI, Google, Meta, Anthropic, Microsoft, and other model providers. They will assume it only matters if they are building their own […]
AI in Employment Decisions: Hiring, Promotion, Bias Audits, and State Law Risk
Artificial intelligence is already inside the employment process. It is screening resumes. Ranking candidates. Summarizing interviews. Drafting job descriptions. Scoring applicants. Analyzing video interviews. Matching people to roles. Reviewing performance. Monitoring productivity. Recommending promotions. Flagging employees for retention risk. Suggesting compensation. Prioritizing training. Evaluating workforce sentiment. Automating HR workflows. Some of those tools are formally […]
AI Vendor Due Diligence Checklist: What Companies Need to Ask Before Buying AI Software
Most companies will not build every AI system they use. They will buy it. They will subscribe to it. They will turn it on inside software they already use. They will connect to it through an API. They will allow employees, vendors, agencies, contractors, and business units to use it in workflows that already process […]
AI Impact Assessments: What Companies Need to Document Before Deploying AI
Most companies are moving too fast with artificial intelligence. They are buying AI tools, turning on AI features, connecting models to customer data, using copilots, launching chatbots, automating workflows, ranking applicants, scoring leads, summarizing calls, generating content, analyzing behavior, and letting vendors process sensitive information before anyone has documented the risk. That is the dangerous […]
