AI Governance

i-ARM AI Governance solution – Secure AI adoption and remediation of existing security, privacy, and compliance risks.

Your Challenge:

Oversharing sensitive data: AI models may inadvertently expose personal, confidential, or proprietary information in their outputs leading to data breaches, regulatory violations (e.g., GDPR, HIPAA), and reputational damage.


Misinformation & Deepfakes: Generation of false but convincing content, leading to misinformation and erosion of trust.


IP Infringement: Reproduction of copyrighted material or proprietary data, creating legal andfinancial risks 


Bias & Discrimination: AI models can amplify biases in training data, resulting in unfair or discriminatory outputs.


Privacy Violations: Outputs may inadvertently disclose sensitive or personal information, violating privacy laws.

Lack of Explainability: Limited transparency in how AI generates outputs reduces trust and hinders accountability.

Over-Reliance: Excessive dependence on AI without human oversight can lead to flawed decisions or ethical lapses.


Regulatory Non-Compliance: Rapid adoption of AI may fail to align with evolving laws and regulations, resulting in fines and disruptions.

Our Solution:

Infotechtion’s i-ARM brings the best of corporate information governance from lifecycle management to data protection and security to provide a compliance shield for your AI environment.  This protection helps ensure only high quality, current, and risk-free content is made available to Copilot and other AI solutions and therefore to the users of your AI platform.

In this environment, the inputs are as important as the use cases and outputs. Our solution allows you to:

  • Remediate outdated and low value content isolation or elimination through ROT definitions, data minimization techniques, and traditional records management definitions so that your. AI solution only provides quality current data.

  • Identify and segment sensitive data in your environment through sensitive information types so that can restrict what AI sees and delivers.

  • Track sharing and oversharing on a variety of platforms so that draft, incomplete or inappropriate information from unauthorized or inadvertent locations is kept off the AI platform.

  • Monitor usage statistics to know what activities for AI are popular, and among which users, for tapping into the value that AI brings brings.

Data Explorers

Reduce risk exposure through minimizing captured and reported sensitive data and useless content. Our data explorers leverage captured data in Purview to help identify traditional Redundant, Obsolete and Trivial data (ROT). This keeps this information from accidentally being delivered by AI tools as being valid responses to questions. Similarly, content classified with Sensitive Information Types can be labeled or remediated to minimize risk exposure.

Data Explorer dashboard

Copilot Usage

Keep ahead of the risk horizon and value proposition by tracking who and what is using Copilot or other AI in the environment.   Know when users, applications, and resources are receiving information from AI to know if the information is correct, accurate and appropriate.

Copilot in i-ARM

Sharing Dashboard

If information is shared, it can be seen by AI.  If information is overshared, it will be exposed by AI.  Without knowing what is being shard, there is no way to understand the risk of overexposure.

Sharing Overview in i-ARM

 

AI progress will be slower than we expect, but faster than we can deal with.

Atle Skjekkeland- CEO of Infotechtion

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