Convert security data into insights, Daren Goeson SVP Product Management, SUEM, Ivanti
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In today's digital landscape, data is the lifeblood of any organization. However, Ivanti’s new research report, Exposure Management: Transforming Cybersecurity from Subjective to Objective: (ivanti.com/proactive-security) finds that modern enterprises are data-rich but information-poor.
So how can data standardization in cybersecurity help organizations break down data silos, improve data quality and ultimately enhance their security posture?
In this video, cybersecurity expert and SVP Product Management at Ivanti Daren Goeson, discusses best practices for data standardization in cybersecurity and how to create a data-driven cybersecurity culture that allows security teams to convert their data into strategic insights.
Key Steps to Achieve a Data-Driven Cybersecurity Strategy:
Breaking Down Data Silos:
Collaboration: Security and IT teams often operate in different domains with different data owners. Bringing these data sets together through standardization can provide a more comprehensive view of your organization's security posture.
Regular Updates: The threat landscape is constantly evolving, so it's essential to regularly update your data standardization approach to ensure you're collecting the right data from both security and IT teams.
Creating a Data-Driven Culture:
Comprehensive Data Management Strategy: Understand what data you're managing and develop a strategy to make it readily available and understandable.
Access Control: Ensure that the right data is visible to the right people to make informed decisions while restricting access to sensitive information.
Data Literacy Programs: Promote a culture of data-driven decisions by educating employees on how to use and interpret data effectively.
Self-Service Tools: Utilize business intelligence tools to make data more accessible and user-friendly.
Cloud Solutions: Leverage cloud platforms for better monitoring and analytics, providing a clearer view of your security environment.
Converting Data into Insights:
Data Correlation: Combine data from security, IT, and business units to gain a multi-dimensional view of your data set.
Leverage Platforms: Use integrated platforms that break down data silos and provide quicker insights.
AI and Machine Learning: Humans struggle to analyze large data sets, but AI can identify trends and insights that can inform data-driven security decisions.
By implementing these strategies, organizations can create a more robust and data-driven cybersecurity approach, leading to better decision-making and a stronger security posture.
Learn more about how data standardization can transform your cybersecurity efforts and give you a competitive edge in Ivanti’s research report at: ivanti.com/proactive-security.
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