Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

January 2025

5 key differences between the NIST AI RMF and ISO 42001

The AI space is developing rapidly but is still largely uncontrolled. According to The State of Trust Report 2024, 62% businesses plan to invest more in AI security in the next 12 months. ‍ The good news is that AI security can now be better implemented with the help of many authoritative new AI standards and frameworks rolled out in the past few years. The aim with any of these standards is to remove the uncertainty around AI systems and ensure responsible implementation.

The 4 categories of ISO 27001 controls

Information security is no longer optional; it’s critical to running a successful, resilient business. ISO 27001, the international standard for information security management systems (ISMS), provides a structured approach to safeguarding data. Central to this framework are the 93 controls in Annex A, which are divided into four categories: organizational, people, physical, and technological.

NIST AI RMF: Everything you need to know

The NIST AI Risk Management Framework (RMF) is one of the most advanced, globally accepted guidelines for the safe and responsible use of AI systems. If your organization implements AI in any capacity, adopting the NIST AI RMF can be a significant move toward future-proofing your operations and strengthening AI trustworthiness among customers.

5 trust trends shaping security strategies in 2025

Trust is critical to the success of every business. And in 2024, we saw that building, scaling, and demonstrating trust is getting more difficult for organizations. ‍ Vanta’s second annual State of Trust Report uncovered key trends across security, compliance, and the future of trust. Based on a survey of 2,500 IT and business leaders in the U.S., UK, and Australia, our research found that more than half (55%) of organizations say that security risks for their business have never been higher.