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Data risk intelligence refers to the process of gathering, analysing, and interpreting data-related information to identify and mitigate potential risks to an organisation's data assets.


It involves understanding the vulnerabilities, threats, and potential impact associated with data breaches, leaks, unauthorised access, and other data-related incidents. Data risk intelligence enables organisations to make informed decisions, implement appropriate security measures, and proactively protect their sensitive information and digital assets from various cyber threats and vulnerabilities.

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Providing comprehensive methods to prevent unauthorised access to your personal data.

Safeguarding your information from potential cyber theft is our priority

Data Risk Intelligence


What is your data, Where it is stored.

Uncover Critical Information

Looking at the context of a file like a human

AI-Driven Content Recognition

Is your data at risk?

Gain Granular Understanding

Cognni’s intelligence integrates seamlessly with Microsoft Information Protection (MIP) to automate your classification and protection

Seamless Microsoft Purview Integration

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A heading mockup about a Legal folder.
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Cognni is an autonomous, AI-powered platform designed to address the challenges posed by lack of classified data or generic file labels in MS365. By leveraging cognitive machine learning, it comprehensively maps your MS365 information, gaining a deeper understanding of its context. This enables the automation of Purview information protection (MIP labelling) for data at rest and in-motion, ensuring accurate and context-rich file labelling. 


Additionally, the platform automatically compiles and aggregates user-data events, extracting valuable risk exposure insights from user-data interactions. 


Start Your Data Posture Assessment.
No Training. No Installation.

Start Your Data Posture Assessment.
No Training.
No Installation.

SABASAI's Data Risk Intelligence combines regulatory pressures, evolving technology landscapes, data breaches, and the imperative to safeguard valuable data assets in a rapidly changing digital world trigger the requirement for solutions. 

Holistic Data Context Understanding
Risk Exposure Insights
Contextual Data Classification Enhancement
  • With over 20 years of accumulated knowledge in both human behaviour and IT security, SABASAI brings a unique blend of insights to identify and mitigate user-related risks effectively.

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  • Operating in the Australia-New Zealand (A-NZ) region for over a decade, SABASAI has established itself as a trusted authority in user risk intelligence, serving the federal sector, financial institutions, and enterprises.

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  • By gaining a deeper understanding of the context of MS365 data through cognitive machine learning, the solution provides a more holistic perspective on data. This leads to more accurate labelling and better decision-making regarding data handling and protection.

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Benefits and Differentiations

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Problems and Triggers

Increasingly strict data protection regulations (e.g., GDPR, HIPAA) necessitate a deeper understanding of data risks to ensure compliance and avoid penalties.

Growing Regulatory Demands


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Concerns about both intentional and unintentional insider threats drive the need to monitor user activities and behaviours for potential risks. 

Rising Insider Threats


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The proliferation of remote work increases data access points, requiring organizations to gain visibility into user behaviours and potential risks across various locations.

Remote Workforce


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Growing consumer and regulatory concerns about data privacy emphasise the need for robust data risk management to prevent data leaks and breaches.

Data Privacy Concerns


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Difficulties in understanding where data is stored, who has access, and the context of data use underline the need for improved risk visibility. 

Data Mapping Challenges


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