The Vanishing Act:
Gartner Magic Quadrant for
Enterprise Data Loss Prevention (DLP)
Since Feb 2017
A Skeptical Perspective – an Opinion
In the realm of cybersecurity, the Gartner Magic Quadrant for Enterprise Data Loss Prevention (DLP) has long been considered a compass for businesses navigating the ever-changing landscape of data protection. So: What’s happening behind the scenes?
Analyst Exodus
A noteworthy shift has occurred in the cybersecurity advisory space. Over the years, it seems that analysts responsible for evaluating and advising on DLP solutions have embarked on a new journey—into the very organizations they once objectively assessed. This seemingly agnostic transition of analysts to roles within the companies they covered leaves us questioning the impartiality of the advice given before such employment.
The Distorted Landscape
The Skeptical Lens
Given this exodus, skepticism arises about the objectivity of recommendations made in the pre-employment era. Can advice previously provided be considered genuinely agnostic when the architects of that advice are now intimately tied to specific vendors? The landscape we once relied on for impartial guidance appears to have shifted.
A Sarcastic Twist
In the spirit of skepticism, one might sarcastically ponder: Did the analysts leave their objectivity at the door when entering the employ of the vendors they once assessed? The notion of agnostic advice now seems more like a wistful memory than a present reality.
The Quest for Transparency
Unanswered Questions
We confront a shared concern that reverberates across the industry—specifically, its implications for other analyst firms. Drawing from our own experiences, we acknowledge the recurring challenge of being asked to self-author responses for reports from small “analytic firms” looking to sell reports, a practice that warrants scrutiny for its potential impact on transparency and objectivity. Are we left in the dark intentionally, or is there a genuine challenge in providing updated, unbiased insights? The absence of transparency raises concerns about the credibility of the once-revered guidance.
Shaping Your Own Path
In light of the above, organizations must take the reins of their cybersecurity strategies. Relying solely on historical advice, now potentially influenced by analyst-company affiliations, may not be the prudent choice. It’s time for businesses to conduct thorough evaluations based on their unique needs and the current state of the DLP landscape.
Conclusion
The elusive Gartner Magic Quadrant for Enterprise Data Loss Prevention (DLP) since last published in February 2017 (based on stale 2016 data), has taken on a new layer of intrigue. As analysts navigate from evaluators to stakeholders, organizations are urged to approach historical and current advice with a discerning eye. In the absence of true, unbiased updated guidance, businesses must forge their path forward, prioritizing transparency and independence in their pursuit of robust data protection.
Stay wary, stay informed, and chart your cybersecurity course with a critical eye.
Opinion from GTB: A Cautionary Note
In light of the notable analysts’ transition and the apparent convergence of once-neutral evaluators with the vendors they assessed, GTB believes it is essential to approach both historical and current “agnostic” advice with caution. This paradigm shift raises concerns about the potential influence on the impartiality of recommendations. Anecdotal accounts have reached us, suggesting that some analysts, even before transitioning to vendor roles, may have conveyed inaccurate information regarding certain vendors they once covered. While these reports should be taken with due consideration, they underscore the need for heightened scrutiny and a discerning approach to vendor assessments. GTB emphasizes the importance of organizations conducting thorough evaluations independently, ensuring that decisions are anchored in the most accurate and up-to-date information available.
Testimonials
They are highly impressed with GTB’s all-in-one DLP solution and its ability to discover, classify, detect, and protect companies from threats in a seamless manner.”
We see GTB’s platform as a direct response to address this problem, and we feel it is a best-in-class solution.
Nov. 16, 2022 lkin
For these reasons, GTB is a top choice among those who take data protection seriously and is used by major players across industries, including finance, healthcare, defense contractors, and government.
GTB Data Security Benefits for SRM Admins
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.
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