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TAKING A PAGE FROM DATA SCIENTISTS FOR BETTER SECURITYTAKING A PAGE FROM DATA
SCIENTISTS FOR BETTER SECURITY

A security data lake approach can help your enterprise get a better handle on
the massive proliferation of data.

Erin Hamm

January 12, 2024

3 Min Read
Source: Science History Images via Alamy Stock Photo


As organizations add more cybersecurity solutions to their toolboxes, they also
increase the amount of data they must oversee. These tools produce massive
amounts of data in different formats. That's led to compartmentalized data that
is expensive to store, analyze, and access quickly. It also fosters a risky
knowledge divide that can make it difficult for security personnel to detect
threats.

In the data science world, data lakes are one way that organizations can get a
better handle on their data challenges. This approach can also be useful for
cybersecurity. A security data lake can help dismantle data silos and expand
visibility, but it takes more than just creating these lakes.




MOVING AWAY FROM SILOED DATA

Traditionally, enterprise and security data were treated separately, leading to
data silos driven by complacency or convention. However, the evolving landscape
demands a shift toward unifying all enterprise data, including security data, as
a core component of a global data strategy. Organizations also need a mechanism
to integrate and normalize all of the acquired data for its best use and
benefit.



Past attempts to address visibility issues across security tools were often
ad-hoc solutions, creating new challenges. A unified data strategy is now
essential, as the ever-changing landscape requires a more comprehensive and
sustainable approach to security and data integration.

A security data lake, as opposed to a one-off strategy, can provide visibility
across the entire security operation and offer a centralized method of managing
security data. Solutions for security data lakes perform best when combined with
tools and data sources for analytics, reporting, orchestration, and other key
tasks.




IMPLEMENTING SECURITY DATA LAKES

Ideally, the lake assembles the business context needed by security, risk, and
compliance teams to protect digital assets and personnel. Teams of compliance
and audit experts, incident responders, threat hunters, security operations
center (SOC) analysts, researchers, data analysts, and, preferably, data
scientists would be included in this strategy. A consolidated view with business
context allows members of these teams to identify real threats and manage
compliance.



Consider these five steps to get started with data lake implementation:

 1. Identify data gaps and silos, understand the disconnects, and seek ways to
    overcome them. This involves bringing together data from different sources
    and systems into a data lake. This can be achieved through extract,
    transform, load (ETL) processes and tools that collect, clean, and merge
    data from various sources.

 2. Understand the knowledge among the different roles that use data to make
    educated business decisions, including data scientists, data engineers, IT,
    business analysts, and SOC professionals, like threat hunters and security
    analysts. This understanding is crucial for tailoring the data lake to meet
    the specific needs of each role. It facilitates collaboration, improves data
    governance, and ensures that the data lake serves as a valuable resource for
    the entire organization, promoting informed decision-making and data-driven
    insights.

 3. Standardize the data stories told with the data. Ask: "In what ways are end
    users using this data? And why?"

 4. Normalize, parse, and enrich this data to produce a common view that all the
    different data users can start from. Security best practices can be
    implemented once the data has been standardized into a common format, such
    as MITRE-CAR or OCSF.

 5. Design the security data lake with governance and security best practices in
    mind to ensure that stringent security protocols are followed, while also
    allowing users to get the necessary depths of insight from the data.




DATA LAKES FOR A MORE SECURE FUTURE

Security teams can more quickly identify real threats if businesses have clean
data that provides business context to security incidents. As a significant side
benefit, teams can assess and achieve controls for the use, cost, and
applications of data within the organization. The key to this strategy is
ensuring teams receive the best data and make the best use of it.

Business executives and analysts can quickly respond to changing business and
security situations and provide answers to previously unanswerable issues when
all of an organization's data is contained within a single ecosystem through a
security data lake strategy.




ABOUT THE AUTHOR(S)

Erin Hamm

Field Chief Data Officer, Comcast Technologies Solutions

Erin Hamm is the field chief data officer at Comcast Technologies Solutions. She
is also a member of Franklin University Advisory Board for Master of Data
Analytics and Master of Business Analytics

See more from Erin Hamm
Keep up with the latest cybersecurity threats, newly discovered vulnerabilities,
data breach information, and emerging trends. Delivered daily or weekly right to
your email inbox.

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