- What is the difference between a Data Loss Prevention (DLP) solution and a data protection system? …
- What are some of the main challenges with data loss prevention systems? …
- How do you think AI/ML can help improve traditional DLP solutions?
Interview Questions on Data Classification and DLP Data Loss Prevention
Interviews for Top Jobs at DLP Capital
Mortgage Analyst Interview
I applied online. I interviewed at DLP Capital (Saint Augustine, FL) in Mar 2021
Interview
A huge waste of time and an awful experience. I was one of the first candidates they interviewed and I was offered the position the day after my interview. I thought the compensation package was terrible so I counter offered. I counter offered because I just recently graduated with my MBA and the COO stated I would go in and lead the analyst group down in St. Augustine so I believed I was more valuable than the base package. Once I made my counter offer he quickly said “That shouldn’t be a problem and I agree with what you’re saying. Give me a couple days to run it pass the ultimate decision makers to get it approved”. Keep in mind, he is the decision maker, he’s the COO. After one week of no response I followed up and asked if there was any decision, he stated he was still “kicking it around” with the decision makers. After THREE weeks of no communication I followed up again, he then he stated that he couldn’t get my package approved and they already found a team of analysts to accept the base package so he would reach out if he found anything else for me that suited my demands in the future. Listen, I don’t have any issue with an employer shooting down my counter offer but just communicate that. Lack of respect on their end. If you’re asking me to do more than the other analysts and I also have advanced education, I’m going to ask for more money. Good job for desperate undergrads and I assume that’s who they hire. I’d stay away from this company because they’re just shady.
- Have you read any inspirational books lately?
Development Director Interview
I applied online. The process took 2 weeks. I interviewed at DLP Capital (Jacksonville, FL) in Jul 2022
Interview
I applied online, made videos to answer questions as part of application process, had a quick phone call interview, then had to take personality and cognitive tests. There was a really in-depth bio/questionare that took quite a long time to fill out. Last was a panel interview.
- Questions about background, leadership style, values
Why do you need a Data Loss Prevention (DLP) solution?
A DLP solution can help your organization ensure that sensitive information does not get accidentally or intentionally outside the corporate network or to a user without access. Sensitive data can be customers’ Personally Identifiable Information (PII), Protected Health Information (PHI) or Payment Card Information (PCI), the company’s Intellectual Property (IP) such as trade secrets, source code, etc.
If you want to prevent data leakage, theft, and exfiltration, then a DLP solution is an efficient safeguard and can provide your information security team with complete visibility into all sensitive data. With DLP software in place, you can protect data in each state (in motion and at rest on desktops, laptops, etc.) and thus avoid operational disruptions, regulatory issues, penalties, and reputational damage that result from data breaches.
How do DLP policies work?
Data Loss Prevention policies are sets of rules for detecting, reporting, and blocking the transfer of sensitive content. A customizable policy includes several elements, such as policy action (report only, blocking and reporting of sensitive content transfers), policy type (standard, outside hours, or outside network), exit points, etc. Besides customizable policies that IT admins can set up, some DLP tools offer predefined policy templates designed for specific datasets (such as data protected by the GDPR, HIPAA, or PCI DSS). The advantage of DLP policies is that they efficiently discover, monitor, and control specific sensitive data, such as credit card numbers or social security numbers, while employees can freely manage data outside these categories.
DLPs perform content inspection and contextual analysis of data while moving across a network, used on a managed endpoint device, or resting in file servers. Through content inspection, companies can detect data containing PII, health or financial information, and data protected under different regulations. Combined with contextual detection that allows or blocks data transfers based on file type, file size, related regular expressions, etc., DLP tools provide an efficient approach to data leakage prevention.
By enforcing DLP security policies, you can reduce the risk of insider threats and meet the compliance requirements of different regulatory frameworks.
Having a concrete data loss prevention (DLP) strategy in place is one the most effectual methods of detecting risks to valuable data. This set of technologies, products and processes monitors for anomalous behaviors and other indicators of insider threat or shadow IT. It is critical that infosec leaders and practitioners comprehend DLP features, controls and policies to ensure the organization is getting the most out of its security investments and programs.
With an understanding of DLP best practices — as well as the importance of DLP in a cybersecurity strategy — organizations are better equipped to prevent data exfiltration and breaches. Take this DLP quiz, specially designed with questions and answers about DLP, to measure and multiply your knowledge of this important data security tool and strategy.
FAQ
What are the 3 main objectives being solved by DLP?
How do I prepare for a loss prevention interview?
- Why do you think you’re a good fit for this position?
- Why do you want to work in loss prevention?
- Can you tell me more about yourself?
- What would you consider your biggest strength?
- Where do you see yourself in five years?
What is a DLP strategy?
Data loss prevention (DLP) is a part of a company’s overall security strategy that focuses on detecting and preventing the loss, leakage or misuse of data through breaches, ex-filtration transmissions and unauthorized use.
