Exploring AI in Data Governance and Incident Response

Exploring AI in Data Governance and Incident Response

An in-depth look moderated by InfoTech’s Advisory Director Thomas Randall

In this thought-provoking discussion with Emily Johnston (Cyber Data Mining Product Director), Jonathan Younie (Data Governance Product Director), and Ian Campbell (iCONECT Founder and CM), covers Artificial Intelligence (AI) real-world applications for incident response, data governance, and more. Video and audio versions are available. (see below)

In exploring the cutting-edge applications of Artificial Intelligence (AI) in data governance and incident response data mining, it becomes clear that iCONECT has gleaned fundamental expertise and knowledge through its years as a leader in eDiscovery. The technology platform is foundational in the expansion of iCONECT’s product matrix into cyber data mining and data governance.

AI basics do not really change, regardless of the technology’s application. “Through the analysis of words and phrases in each document…users can apply artificial intelligence against the documents and cluster or query them in different ways,” states Ian Campbell, Founder and CMO at iCONECT. This allows thought leaders to transform workflows by incorporating AI to create optimizations, regardless of the application.

The Evolution of Data Governance with AI

Data governance is no longer just a buzzword—it is necessary for organizations aiming to control data expansion, retention, and knowledge effectively. iCONECT experts share their insights on how AI revolutionizes data governance by automating processes, ensuring data quality, and maintaining compliance with regulatory standards. Discover how AI-powered tools make it easier for businesses to categorize and protect their data assets. Johnathan Younie of iCONECT states, “It’s all about risk analysis.”

Transforming Cyber Incident Response Through AI

Incident response is crucial for mitigating cyber threats and protecting sensitive information. In the interview, Thomas leads discussions on how AI-driven data mining tools can rapidly analyze large datasets to identify security breaches and predict potential threats. Emily Johnston of iCONECT talks about dealing with the complexities of matching Personally Identifiable Information (PII) with a related person’s name. “Through density reporting and up-front information, the iCONECT system can pull out five names and two credit cards, for example, and connect those dots to create PII/Name pairs as part of the reporting process.” This pairing helps organizations quickly respond to a data breach to meet their obligation to clients, affected parties, governing bodies, and insurance companies.

Highlights from the Interview
Interviewer Thomas Randall uncovers several critical topics in the interview:

  • AI and GenAI: As definitions have changed, so have the use cases, and companies like iCONECT are looking at ways to incorporate GenAI – responsibly.
  • Enhanced Data Classification: How AI systems automate data categorization to support robust governance frameworks.
  • Regulatory Compliance and Data Privacy: The role of AI in helping organizations comply with data protection regulations and safeguard sensitive information.
  • Predictive Analytics for Threat Detection: Leveraging AI for real-time monitoring and early detection of security incidents.
  • Success Stories: Real-world examples of companies that have successfully implemented AI in their data governance and incident response strategies.

Watch the Full Discussion

Ready to dive deeper into the world of AI in data governance and incident response? Click the link below to watch the full interview with the iCONECT product team and gain valuable insights.

Watch the Thought Leader Interview with Thomas Randall

 



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