As artificial intelligence advances in business, companies need to adopt new structures to ensure their technologies are used safely, ethically, and effectively. According to CX Trends 2024, 75% of companies believe that a lack of transparency and clarity in AI models can pose serious reputational risks. AI TRiSM offers a structured approach to these challenges, helping organizations build reliable and scalable AI models aligned with regulatory requirements and market expectations.

A new security standard

AI TRiSM stands for three core pillars: trust, risk, and security. It covers a set of practices and tools to ensure AI systems are developed and deployed safely, transparently, and ethically. In a landscape where AI safety incidents can have substantial economic and reputational effects, AI TRiSM is becoming a necessary response.

According to Gartner, by 2026, half of companies developing AI will adopt AI TRiSM practices to reduce risks and strengthen confidence in their systems. These practices enhance security and reliability across advanced technologies like facial recognition and autonomous vehicles, which, without proper safeguards, can be vulnerable to cyberattacks, data manipulation, and even biased outcomes. With AI TRiSM, companies gain a structured framework to manage trust and security, reducing reputational risks and protecting their operations.

Essential components of AI TRiSM for business

The successful implementation of AI TRiSM depends on the integration of four fundamental pillars:

• Explainability and transparency: AI models can be highly complex, and their opacity raises concerns. In regulated sectors like finance, transparency is essential for the success of AI as it allows users to understand model decisions and have faith in the technology.
• Model operations and maintenance: AI TRiSM ensures that models are constantly monitored and adjusted when necessary. This enables rapid adaptation to changes in the market and consumer expectations, increasing competitiveness.
• AI application security (AI AppSec): security is a critical issue in AI systems. AI AppSec protects the system against attacks, preventing intrusions and the compromise of sensitive data – a pressing issue for companies in the US financial sector, which face complex data protection challenges.
• Privacy and data protection: besides protecting consumer data, AI TRiSM promotes compliance with regulations such as the GDPR and CCPA, keeping AI in line with increasingly stringent privacy policies and avoiding sanctions.

These four pillars establish a solid foundation to ensure the integrity and accountability of AI models. For companies striving to stand out in terms of reliability and security, AI TRiSM is a strategic advantage.

How AI TRiSM can boost your business

AI TRiSM not only reduces risk but is also a genuine competitive edge with the potential to increase business value. With it, it’s possible:

• Increase customer trust and buy-in: customers and partners tend to trust organizations that demonstrate transparent and responsible use of AI more. In the financial sector, for example, the explainability of AI ensures data-driven decisions are accurate and regulatory-compliant.
• Facilitating regulatory compliance: data privacy and security regulations are constantly evolving. That’s why companies that adopt AI TRiSM are better prepared to face these changes, avoiding the risk of sanctions.
• Optimize processes and improve operational efficiency: by constantly monitoring models, failures can be identified and adjusted quickly, reducing downtime and operating costs.
• Promote innovation with security: the security provided by AI TRiSM allows companies to experiment with new models and technologies without compromising data integrity or risking their reputation.

Examples of AI TRiSM implementation

One of the most common challenges in implementing AI TRiSM is the need for multidisciplinary teams with expertise in AI, security, ethics, and regulation. In addition, setting up a technological infrastructure for continuous monitoring and automated compliance can be a problem for some companies.

However, its benefits outweigh these challenges, helping to avoid significant costs and protect the company from potential violations. AI TRiSM is also adaptable, evolving alongside business needs. 

Companies that apply AI TRiSM report significant improvements in performance and consumer confidence. Financial institutions use AI TRiSM to make their anti-fraud systems more transparent, offering explanations for decisions and creating robust barriers against attacks. They also integrate AI TRiSM to ensure that automated credit analysis and identity verification practices are secure and compliant with regulations.

AI TRiSM and the future of AI in business

As the use of AI grows, AI TRiSM will grow to cover new areas, such as generative AI and the automation of complex decisions. For this reason, technologies such as secure and explainable machine learning have become indispensable for keeping this framework relevant and effective. In addition, integration with real-time monitoring tools and automated audits strengthens security and continuous compliance, a growing requirement in the market.

Today, companies that invest in this structure are better prepared for the future. After all, transparency, ethics, and security form a solid foundation for operating responsibly and reliably. Luby is ready to help your company exploit the maximum potential of AI with security and integrity, ensuring that you stand out in a competitive market. Connect with our experts today to learn more!