Although AI is not such a new technology, only now have companies begun to incorporate it into their structures, especially at the end of 2022, when many people realized the sector's progress and possibilities.

In order for businesses to experience all the competitive advantages provided by AI and, at the same time, ensure that these solutions are developed and implemented in an ethical, safe, and responsible manner, it is necessary to adopt some measures focused on governance and compliance.

In this context, the concept of AI TRiSM (AI Trust, Risk, and Security Management), translated as Artificial Intelligence Trust, Risk, and Security Management, is an excellent ally. 

Want to know more and discover how this resource can benefit your organization, regardless of its niche or size? 

Then, you are in the right place! Continue reading and follow the article that we, from CodeBlog, have prepared for you.

The Concern for Data Security

Before we delve into AI TRiSM, it is necessary to highlight the concern for data security, an imminent need in the corporate scenario, since intrusions and attacks are recurring.

Information is one of a company's most powerful tools, and most data (personal and corporate) is stored digitally.

For these and many other reasons, having security tools is fundamental to protect the data circulating through computers and mobile devices.

Taking market competitiveness into account, it is also paramount to protect competitors' information and, at the same time, keep it available (in a secure manner) to facilitate consultations and stimulate a good relationship with customers.

Faced with this scenario, the adoption of AI technologies and data analysis brought new information security concepts and parameters, which must be considered by organizations and IT leaders.

Never before has such a large volume of information been seen. And the trend is for the numbers to grow over time. We are immersed in an unprecedented reality of strategic data use and processing.

According to Forbes, the forecast is that 150 trillion gigabytes will be processed and analyzed in real time by 2025.

In this colossal universe of information, there is an infinity of sensitive data, which demands attention and redoubled care, especially regarding the security of its subjects.

For this reason, the development and massive adoption of governance and protection solutions is urgent, mainly to encourage the implementation of global measures and principles of transparency and security. 

To meet this demand, some governance protocols have emerged to lead IT leaders toward the democratization and consolidation of AI technologies in companies, such as, for example, AI TRiSM - the topic of this article.

What is AI TRiSM?

Although it does not have the status of a Law, AI TRiSM operates along the same lines as LGPD (General Data Protection Law) and its main objective is the adequacy of the use of artificial intelligence technologies in business.

In practice, the concept benefits organizations as well as their partners, employees, and the general public.

Considering that digital transformation is a constant in the technological scenario, it is certain that, sooner or later, companies will have to adapt to this reality and, to do so, they must comply with governance requirements, in order to ensure that these technologies are harnessed and applied in a responsible, ethical, transparent, and secure manner.

In this context, AI TRiSM emerges as an interesting solution. The framework, created by the Gartner Group (an IT research, advisory, and event company) has the mission of helping leading IT companies guarantee a safe and effective implementation of AI mechanisms. 

The protocol also provides a complete set of governance policies and technical criteria, which are divided into three stages:

Training

The first phase is marked by Machine Learning. In other words, equipment is previously trained to collect and process data according to each project's objectives.

Tests

After due training, the IT model is tested and applied to measure its efficiency level, in accordance with the goals set.

Deployment

After approval in the testing phase, the moment has arrived to integrate the AI project into the business's operational structure.

Inside the Acronyms

The concept of AI TRiSM (AI Trust, Risk, and Security Management) addresses three main areas:

Trust

Refers to the transparency of AI models and aims to ensure that users can deeply understand how each decision is made.

As an example, we can mention the creation of fairer, more reliable, effective, and less discriminatory AI systems.

Risk

Involves the identification and mitigation of risks associated with AI, including operational, compliance, and reputational risks. 

In addition, risk management encompasses the evaluation of potential negative impacts that AI may have on different stakeholders and, furthermore, acts in protecting the AI data system, not only against leaks but also in promoting fairer and more inclusive decision-making. 

Finally, by freeing operations from biased patterns, it promotes equity in operations and strengthens the company's reputation, fostering more reliability on the part of its users.

Security

Focuses on protecting AI systems against threats and cyberattacks, with the implementation of security measures to protect data and ensure the integrity of the models. 

In general, it involves high protection of the AI system against data leakage (especially the most sensitive ones) and other pernicious actions, such as cyberattacks capable of threatening the privacy of the company and its clients.

How can AI TRiSM benefit businesses?

By now, you have understood what AI TRiSM is, what its stages are, and its goals. Now, you must be wondering how this concept can favor your organization. The answer is as comprehensive as the framework itself.

It is not hard to see that the number of companies backing digital processes and investing in technology to follow digital transformation is only growing.

But, to guarantee solid strategies, some guidelines are necessary, especially considering an environment where trust, risk management, and security are essential for operations and sustainable growth. And that is where AI TRiSM comes into play:

Reliability and Transparency

The concept seeks to guarantee safe and transparent AI models and, in practice, helps businesses become more reliable for their clients and stakeholders, especially in sectors where trust is a critical factor, such as finance, healthcare, and security.

Risk Management and Compliance

The adoption of AI TRiSM helps businesses identify and mitigate potential risks associated with the use of AI, such as privacy violations, security breaches, and much more.

Furthermore, ethical regulations and standards help processes and operations remain in full compliance with applicable standards and best practices.

Protection Against Threats

AI TRiSM can integrate advanced security technologies to protect systems from cyber threats, detect suspicious behavior, prevent fraud, and double down on protection from malicious attacks within an organization.

Decision Making

With the help of AI TRiSM, it is possible to ensure that the data used by Artificial Intelligence models is exact, precise, and reliable.

As a result, businesses gain sharper insights that lead to better-informed decision-making.

Operational Efficiency

Thanks to efficient risk and security management, AI TRiSM also reduces operational disruptions caused by security failures or compliance issues, helping businesses operate with more efficiency, consistency, and predictability.

Corporate Reputation

It is evident that organizations showcasing a higher concern for transparency, security, and risk management have a stronger reputation in the market. In this context, it is possible to state that AI TRiSM also assists (even if indirectly) in attracting and retaining customers, investors, and business partners.

Anyway, now that you know what AI TRiSM is and its importance, how about ensuring more protection for your company's internal information and your clients' sensitive data?

If you wish to discover all possible solutions to make your processes more secure, click here, get in touch with the team of specialists at CodeBit and check out the customized tools available for your organization.

Furthermore, keep an eye on CodeBlog. Soon, we will have plenty of news here.

Until the next post!