Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Introducing third-party AI into your systems can be a milestone for productivity and growth, but it also expands your attack surface in unpredictable ways. If your AI vendors have weak controls, threats like data poisoning and algorithm failure can ripple through your systems.

This past month, the Vanta team launched new features to help you: ‍

The Criminal Justice Information Services Division (CJIS) within the FBI manages Criminal Justice Information (CJI). Considering the highly sensitive nature of law enforcement data, you have to implement federal security standards to safeguard CJI against increasingly complex cybersecurity threats. ‍ The CJIS Security Policy was introduced in 1992 as a framework to protect CJI through both strategic and tactical measures.

As organizations integrate AI into their everyday systems and operations, the scrutiny on the risks it introduces is higher than ever. According to Vanta’s State of Trust Report 2024, more than half of organizations express concerns over security risks compounded by AI. ‍ The growing unease highlights a new business expectation: you must be able to prove your organization is using AI securely and responsibly.

Organizations across industries are actively investing in AI to streamline operations, boost productivity, and stay ahead in competitive markets. However, most proceed with caution when rolling out new AI solutions internally as they need to meet standards for AI security, compliance, and responsible use through rigorous testing and assessments. ‍ At the same time, teams may occasionally adopt AI solutions outside formal channels to simplify their workload.

As AI and automation become the norm, more and more organizations lean on them to streamline decision-making processes across business functions, including security. ‍ Traditional AI solutions take on repetitive and time-consuming tasks, freeing teams to focus on higher-level strategy and growth.

Many of our customers ran into an issue where they’d receive questionnaires via third-party vendor portals and would need to import them into the Vanta app. Since these portals lacked spreadsheet export, their only option was to manually copy and paste questions into a spreadsheet before uploading it to Vanta.

As AI becomes more user-friendly and performance-focused, organizations are increasingly adopting it into their systems to streamline elaborate workflows. However, the rapid pace of adoption means that teams often implement AI models before fully mapping the security and compliance implications that they bring. ‍ According to Vanta’s State of Trust Report, more than 50% of organizations view AI risks as a growing concern today.

As artificial intelligence becomes deeply integrated into business operations, organizations have started feeling the pressure to keep up. According to Vanta’s 2025 survey, more than 50% of the organizations report being overwhelmed by the speed of AI adoption and growing compliance obligations. ‍ This issue is aggravated by the fact that AI tools evolve faster than governance policies can adapt, potentially leaving complex gaps for security teams to fill.

When the Federal Financial Institutions Examination Council (FFIEC) released its Cybersecurity Assessment Tool (CAT) in 2015, it became the industry standard for evaluating cyber readiness. ‍ A decade later, the threat landscape has evolved—and rather than updating the CAT, the FFIEC retired it on August 31, 2025. With CAT no longer the industry's best practice, many financial institutions are asking: What’s next? ‍