Why is DLP Failing?

Why is DLP Failing?

Capital One, Equifax, Uber, Verizon, Dun and Bradstreet, Scottrade, Anthem, Sony Hacked, data breached.  T-mobile, California DMV, Kroger, Microsoft Exchange …    seems like 2021 is moving in the same direction as 2020, 2019, 2018, 2017, 2016, 2015, 2014, and 2013.

When studying these patterns, it’s important to understand that it’s the degree and severity of the incident (i.e.. Equifax, Target), not the rate of occurrence that makes news.

According to the Ponemon Institute[1], the average cost of a data breach is $188 per record with an average of $5.4 million in the U.S. and Target reports to have paid over one billion dollars in recovery damages.

A DLP solution is the last level of defense that addresses data extrusion security against advanced attacks, malware, Frenemies (employee mistakes) and unauthorized users trying to steal data.

So why is DLP failing? 

For those familiar with data and security breaches, there have been several recent notable violations: Equifax, eBay, Adobe Systems, Target, and Neiman Marcus. In other words, hackers, malware, botnets, and employees with malicious intentions can oftentimes beat the DLP systems, overthrowing entire organizations and making market-leading DLP models look primitive.

Does compliant equate to secure?

A company can be fully ‘compliant’ and still lack the necessary tools to stop a data breach.  Global Payments Inc., an electronic processing company whose estimated breach will cost close to $94 Million USD was fully compliant with PCI and others[2].

Global Payments Inc. CEO Paul Garcia said, “I can’t be terribly specific … We had security measures in place that caught it [data-breach].” He did, however, acknowledge that while their DLP or ‘loss-prevention’ quickly spotted and counteracted data ex-filtrated from the company, it hadn’t prevented the data infraction. Garcia later admitted, “So partly it [DLP] worked and partly didn’t work.”[3]

Whoops!

The conclusion is simple:

The current ‘market leading’ DLP technology is outdated and unable to accomplish the fundamental function of real data protection security:

1.      Requirements compliant with PCI, HIPAA, GLBA, SOX etc. are not good enough to halt a breach.

2.      Hackers are five steps ahead of organization’s current security ecosystem.

3.      Security & Compliance Officers are not proactive about security education.

4.      The current market leading DLP cannot cover all 65,000+ ports and protocols.

5.      The current market leading DLP cannot enforce policies in real-time.

6.      The current market-leading DLP detection engines have too many errors and false positives halting business processes.

7.      The current market-leading DLP costs are unaffordable.

8.      The current market-leading DLP can take years to fully deploy and requires multiple engineers to manage.

Bottom Line

The function of DLP system protection is to be a precise tool that monitors and protects sensitive data. Security and compliance officers must understand and require that their DLP system is able to have answers to questions such as,

What data do I want to protect?” and

Can my DLP system classify data correctly in real-time?”  or

Can I truly prevent a data breach?

Also, the solution must provide:

–        Real-time inspection of sensitive data

–        100% Detection Accuracy on fingerprinted data

–        Coverage of ALL Ports ALL Protocols ALL Channels

–        Plug and Play – easy to use (Unified Policy Making, Workflow, Deployment, etc.)

–        Effective Data Classification – Zero False Positives

–        Prevent Data Leakage

If your DLP system cannot accomplish these basic requirements, it’s time to CHANGE  to a Data Loss Prevention solution which can.

 


[1] https://www4.symantec.com/mktginfo/whitepaper/053013_GL_NA_WP_Ponemon-2013-Cost-of-a-Data-Breach-Report_daiNA_cta72382.pdf

[2] http://www.bankinfosecurity.com/global-payments-breach-tab-94-million-a-5415/op-1

[3] http://www.wired.com/threatlevel/2012/04/global-payments-breach/

Visibility: Accurately, discover sensitive data; detect and address broken business process, or insider threats including sensitive data breach attempts.

Protection: Automate data protection, breach prevention and incident response both on and off the network; for example, find and quarantine sensitive data within files exposed on user workstations, FileShares and cloud storage.

Notification: Alert and educate users on violations to raise awareness and educate the end user about cybersecurity and corporate policies.

Education: Start target cyber-security training; e.g., identify end-users violating policies and train them.

  • Employees and organizations have knowledge and control of the information leaving the organization, where it is being sent, and where it is being preserved.
  • Ability to allow user classification to give them influence in how the data they produce is controlled, which increases protection and end-user adoption.
  • Control your data across your entire domain in one Central Management Dashboard with Universal policies.
  • Many levels of control together with the ability to warn end-users of possible non-compliant – risky activities, protecting from malicious insiders and human error.
  • Full data discovery collection detects sensitive data anywhere it is stored, and provides strong classification, watermarking, and other controls.
  • Delivers full technical controls on who can copy what data, to what devices, what can be printed, and/or watermarked.
  • Integrate with GRC workflows.
  • Reduce the risk of fines and non-compliance.
  • Protect intellectual property and corporate assets.
  • Ensure compliance within industry, regulatory, and corporate policy.
  • Ability to enforce boundaries and control what types of sensitive information can flow where.
  • Control data flow to third parties and between business units.