Discovery, risk, and insight mean something different to every organization, even at different locations within the same company. Do you find answers by trial and error? Do you stumble across information, or find it when it is too late to make good use of it? In this session Concept Searching and technology partner, Netwrix, give a detailed view of risk mitigation for data security, compliance, and operational intelligence. With the combination of the conceptClassifier platform and Netwrix Auditor, see firsthand the automatic generation and use of semantic metadata. The overview of this state-of-the-art solution shows how to proactively prepare to mitigate risk, regardless of where or why it occurs. Speakers: Robert Piddocke – Vice President of Channel and Business Development at Concept Searching Ilia Sotnikov – Vice President of Product Management at Netwrix Jeff Melnick – Manager of Sales Engineering at Netwrix

1. © Concept Searching 2018
Discovery, Risk, and Insight
in a Metadata-Driven World
www.conceptsearching.com
marketing@conceptsearching.com
Twitter @conceptsearch
Ilia Sotnikov
VP Product Management
Netwrix
www.netwrix.com
Jeff Melnick
Manager Sales Engineering
Netwrix
www.netwrix.com
Robert Piddocke
VP Channel and Business Development
Concept Searching

2. © Concept Searching 2018
Participants
Jeff Melnick – Manager Sales Engineering at Netwrix has
over 15 years of experience in the IT field performing Active
Directory and systems migrations, integrations, and installations.
Ilia Sotnikov – VP Product Management at Netwrix is
responsible for product vision and strategy, and has over 15
years of experience in IT management in the software market.
Robert Piddocke – VP Channel and Business Development
at Concept Searching has over 15 years of business
development experience, implemented hundreds of search
solutions, and authored books on SharePoint Search.

3. © Concept Searching 2018
Agenda
• Who we are and what we do
• The importance of metadata
• Risk of data ignorance
• Solution
• Demos
• How can we help?

4. © Concept Searching 2018
• Company founded in 2002
• Product launched in 2003
• Focus on management of structured and unstructured information
• Profitable, debt free
• Technology Platform
• Delivered as a web service
• Automatic concept identification, content tagging, auto-classification,
taxonomy management
• Only statistical vendor that can extract conceptual metadata
• 9 years KMWorld ‘100 Companies that Matter in Knowledge Management’
9 years KMWorld ‘Trend Setting Product’
• Authority to Operate enterprise wide US Air Force, NETCON US Army,
and Canadian SLSA
• Client base: Fortune 500/1000 organizations in Healthcare,
Financial Services, Manufacturing, Energy, Professional Services,
Pharmaceutical, Public sector and DoD
• Microsoft Gold Certification in Application Development
• Member of SharePoint PAC and TAP programs
• Suitable for all versions of SharePoint on-premises and SharePoint Online,
including the vNext dedicated platform and the government cloud
Who Is Concept Searching?

5. © Concept Searching 2018
Who Is Netwrix?
Year of foundation:
2006
Headquarters location:
Irvine, California
Global customer base:
Over 9,000
Customer support:
Global 24/5 support with 97%
customer satisfaction
Recognition:
Among the fastest growing
software companies in the US,
with more than 140 industry
awards from Redmond
Magazine, SC Magazine,
Windows IT Pro and others

6. © Concept Searching 2018
About Netwrix Auditor
A visibility platform for user behavior analysis and risk mitigation
that enables control over changes, configurations, and access in
hybrid IT environments
It provides security intelligence to identify security holes, detect
anomalies in user behavior, and investigate threat patterns in time
to prevent real damage
Netwrix Auditor

7. © Concept Searching 2018
Increase the Productivity
of Security and Operations
Teams
Netwrix Auditor Benefits
Pass Compliance Audits
with Less Effort
and Expense
Detect Data Security Threats,
both On Premises and in the
Cloud

8. © Concept Searching 2018
Compound Term Processing, Classification,
and Taxonomy Management
8

9. © Concept Searching 2018
What Does Metadata Impact?

10. © Concept Searching 2018
What Is the Cost of Poor Metadata?

11. © Concept Searching 2018
How much organizational risk is acceptable?

12. © Concept Searching 2018
Data Security Challenges
of respondents say
they need up to 50%
more cybersecurity
budget
87% of respondents
consider a careless
member of staff to be
the most likely source
of attack
77%
of boards have
sufficient cybersecurity
knowledge for effective
oversight of cyber risks
36%
of organizations still
keep cybersecurity
reporting mostly within
the IT function
63%
feel it is very likely
they would detect a
sophisticated cyber
attack
12%
say their cybersecurity
function does not fully
meet their organization’s
needs
89%
Source: Cybersecurity regained: preparing to face cyber attacks – EY Global Information Security Survey 2017-18

13. © Concept Searching 2018
Unstructured Data Security
? ? ?
? ? ?
? ? ?
? ? ?
• Do you store terabytes of data on your file shares?
• Do you know which of that data needs to be protected?
• Are you sure there are no critical assets in unsecure locations?
• Do you know who has access to sensitive files?
• Can you bring down the risk?

14. © Concept Searching 2018

15. © Concept Searching 2018
Where is My Sensitive Data Located?
Gaining a high-level view
of the sensitive data you store
Discovering sensitive data stored
outside of a secure location
Prioritizing efforts and spending
on the most critical assets first

16. © Concept Searching 2018
Who Has Access to the Sensitive Files?
Identifying owners
of sensitive data
Streamlining attestations
of access rights to sensitive data
Finding overexposed
pieces of sensitive data

17. © Concept Searching 2018
Is There Any Unauthorized Activity?
Detecting unauthorized activity
around your sensitive data

18. © Concept Searching 2018
What About Compliance?
Accommodating new
data security regulations
Proving the effectiveness
of your data security controls to auditors
Determining the severity
of a data breach

19. © Concept Searching 2018
Out-of-the-box Classification Rules
• General Data Protection Regulation (GDPR)
• GDPR prohibited records
• Health Insurance Portability and Accountability Act (HIPAA)
• Gramm-Leach-Bliley Act (GLBA)
• Payment Card Industry Data Security Standard (PCI DSS)
• Personally Identifiable Information (PII)
• Protected Health Information (PHI)
• Generic finance records

20. © Concept Searching 2018
Introduction to Netwrix Auditor
Data Discovery and Classification

21. © Concept Searching 2018
Metadata and Classification
An Ounce of Prevention is Worth a Pound of Cure
• Cybersecurity
• Data breaches
• Noncompliance
• Information governance
• GDPR
• Secure collaboration
• Intelligent migration
• Protection of confidential information
• Business-critical
• eDiscovery
• Legal holds
• Archival
• Social media
• Email

22. © Concept Searching 2018
“52% of all information currently stored and processed by
organizations around the world is considered ‘dark’ data,
whose value is unknown.”
“Another 33% of data is considered redundant, obsolete,
or trivial (ROT) and is known to be useless.”
Global Databerg Report

23. © Concept Searching 2018
The Egg Does Come Before the Chicken
Content Optimization
• You have to find your data before you can protect or act on it
• Evaluate the integrity of the data
• Is it trustworthy?
• Redundant, stale, obsolete, dupes and near dupes, plain old garbage –
grocery list, office party photos
• What type of data – unstructured, semi-structured, structured, or a mix?
• Archive/delete
• Volatility of data
• Real-time monitoring and/or workflows?
• Ongoing management of taxonomies
• Centralized control – metadata repository
• What do you want to do with the data?

24. © Concept Searching 2018
• Automated metadata generation is difficult to
achieve consistently with high precision and recall
• Many products on the market today require complex
rules to be generated, often involving search syntax
and complicated Boolean expressions
• Some products claim use of AI and NLP, but
in reality are proximity and keyword
• Some require a document training set for
every term to be processed
• Some of these products employ linguistic
techniques that will not perform consistently
across different vertical markets, and are
typically not scalable
Result is a very high initial cost
in terms of time and qualified staff
Precision Versus Recall

25. © Concept Searching 2018
Automating Data Discovery and Classification

26. © Concept Searching 2018
How Can We Help?
• Requirements discussion
• Demonstration
• Proof of Concept
• Please contact us via our website for additional information
or to request a demo

27. © Concept Searching 2018

28. © Concept Searching 2018
Next Webinar in Metadata-Driven World Series
Getting Lost in Semantics – Selecting the Right Search Engine
Wednesday, September 12, 2018
Register
The definition of semantics can vary, depending on who is using it. Add to
that artificial intelligence and natural language processing, and you may
find that search has become quite complicated.
Join us as we take the mystery and confusion out of search. Discover
which technologies work, which don’t, and why.
Read more and register in the Upcoming Webinars area of our website.

29. © Concept Searching 2018
Thank You
www.conceptsearching.com
marketing@conceptsearching.com
Twitter @conceptsearch
Ilia Sotnikov
VP Product Management
Netwrix
www.netwrix.com
Jeff Melnick
Manager Sales Engineering
Netwrix
www.netwrix.com
Robert Piddocke
VP Channel and Business Development
Concept Searching