GUEST OPINION: Most organisations know that leveraging data insights to inform decision making leads to better business outcomes. But as valuable as organisational data is, it can also pose challenges.
The explosion of advanced data-driven use cases, including generative AI and predictive analytics, have increased the risk of data exposure leading to misuse. With upcoming reforms to Australia’s privacy and cybersecurity laws, the pressure is on for CDOs, CIOs, and business leaders to find a new approach to using sensitive data in an ethical and responsible manner. In fact, according to recent research, 40% of leaders have pointed to data privacy, protection and compliance as one of their key challenges when adopting or planning to adopt generative AI.
This is why it’s important for organisations to have strict protocols in place to maintain and manage the utility and storage of sensitive data while limiting who has access to it.
Aligning data access and governance
As privacy and security rules become more prevalent, organisations continue to search for reliable and trusted data to create new value across various business functions. The same can be said as organisations increase their focus on accelerating data pipelines for AI use cases and analytics. This is why data access management combined with the power of AI are critical capabilities to provide secure and trusted data democratised across organisation to more users through self-service to drive innovation and competitive advantage.
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Solutions such as Cloud Data Access Management (CDAM,) available on Informatica’s AI-powered Intelligent Data Management Cloud (IDMC) platform, enables organisations to share and use their data while supporting policy compliance and customer trust. With universal, automated controls governing data access to enforce security and privacy, data teams can ensure data is delivered for those who need it, when they need it, while minimising risks and demonstrating compliance with relevant standards and regulations.
At the heart of this solution is Informatica’s Claire AI engine, which uses metadata intelligence in IDMC to automate the identification of sensitive data. CDAM then uses the governance policies associated with this sensitive data to automate data access and privacy controls for data use and sharing, thus enabling organisations to accelerate their journey toward data-driven decision-making.
The AI-driven opportunity
Data access governance capabilities, driven by AI, are needed to propel business strategies forward. To achieve success, AI applications must be fuelled with precise and reliable data, and the ability to scale large volumes of data efficiently. In this way, AI can help companies meet regulatory requirements, comply with corporate policies, and share data securely.
Specifically, the key benefits of AI-driven data management include:
- Fit-for-purpose protected data that can be relied on to deliver tangible business value and achieve intended outcomes.
- The ability for organisations to consistently comply in an ever-changing regulatory landscape, while keeping data open for business
- Enforcement of policies consistent with data flows and pipelines, while reducing the cost to manage risks and time to deploy new use cases.
Considering the increasing focus by government, business and consumers requesting restrictions on who can view and interact with sensitive organisational data, now is the time to ask if your data is ready for AI?