CHOROLOGY.ai this week added an Automated Compliance Engine (ACE) to its data security posture management (DSPM) platform that makes use of multiple types of artificial intelligence (AI) to rapidly classify sensitive data at scale.

Company CEO/CTO Tarique Mustafa said this addition extends the AI capabilities of the Compliance and Security Posture Enforcement Platform (CAPE) in a way that applies AI to data security posture management (DSPM).

The ACE module rather than employing machine learning algorithms is based on knowledge encoding, a type of domain language model (DLM) that CHOROLOGY.ai has embedded into an AI planning automation framework.

That capability enables organizations to connect ACE at any data repository to discover and classify multiple types of structure and unstructured data, including text, graphics and video. ACE is more than a one-trick AI pony, said Mustafa.

Previously, CHOROLOGY.ai launched CAPE to apply domain-specific artificial intelligence (AI) to data governance. Using an auto-data discovery engine coupled with an auto-data classification and an auto-data mapping engine, the DLMs developed by the company eliminate the need to pre-process data to apply governance and compliance policies.

That approach makes it simpler for organizations to comply with mandates that, for example, might require them to delete all data pertaining to a specific customer regardless of what repository it is stored in, noted Mustafa.

As the volume of data that organizations are required to secure continues to rise, DSPM is emerging as a subset of cybersecurity that is focused on identifying data that is at the most risk, noted Mustafa. Without help from AI, it’s nearly impossible for organizations to determine where all that data is stored, he added.
The challenge is that forms of AI based on machine learning algorithms rely on a probabilistic approach that is not as accurate as a DLM that applies knowledge representation and inference encoding to discover, identify, classify and map data at scale, said Mustafa.

There is little doubt that AI at this point will transform cybersecurity. CHOROLOGY.ai is betting that given the sensitivity of the data being governed organizations they will prefer to rely on a DLM approach that can be deployed in a matter of hours.

Regardless of approach, it’s clear the amount of data being created every day exceeds the ability of most organizations to effectively manage it. The only way to govern and secure all that data cost-effectively will be to rely more on various forms of AI.

The challenge, as always, is securing the funding required to achieve that goal. Many organizations, however, might be able to cost-justify those upgrades by rationalizing existing tools and platforms, or by spending less on other platforms that might not be needed as much if the data that cybercriminals are trying to steal is managed more securely in the first place.