I am a Cybersec expert and that is why we should talk more about preventing data loss
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AI can redefine cyber attacks and defenses, but the real security battedground is data. In an environment where information flows freely between SaaS platforms, personal devices and remote end points, the prevention of data leakage is a strategic necessity that is crucial for business performance.
Prevention of data loss (DLP) has become the cornerstone of Digital Trust, especially because organizations automate more of their activities and use employees AI platforms in their daily work. Modern DLP tools must support extensive functionality and new layers of context to really integrate into a broader access and identity policy in the search for protecting and future -proof.
Vice President of CyberSecurity Sales and Service for Hughes Network Systems.
The need for DLP continues to evolve within your company
Employees do things that they are not allowed to do. That is not a new phenomenon, but it offers major challenges for DLP efforts. The rise of content-hungry tools such as chatgpt and more dependence on shared data repositories in the Cloud-Google Drive, Dropbox, etc. creates more opportunities for employees to move sensitive customer data or to exfil the ways they should not.
In addition to solutions provided by the company, the 2025 Netskope Cloud and Threat Report uses that 88% of people use personal cloud apps at work. Shadow it, where users quietly implement Saas apps without the knowledge of company Can float around countless undiscovered apps that endanger your data.
Even the sanctioned use of Great language models ((LLMS) is often impeded by insufficient governance and supervision to ensure that employees do not run from data borders. Companies are struggling to identify and stop data leakage, because there is scarce visibility in what the LLM takes, what data it stores, where the outputs are that those outputs use and how. Unfortunately, Legacy DLP platforms often cannot control and control AI-driven SaaS apps, making sensitive data possible unprotected.
External threats reinforce the value of DLP
When threat actors come to a network, they usually want to steal sensitive data or cod files for a future ransom. Those two risks have companies with a high alert, and although robust ransomware prevention tools can help with the latter, DLP is the key to protection against the first.
The right DLP platform can prevent sensitive data from leaving your network, regardless of how the attacker arrived or where their search for content brings them. Every time someone tries to touch, open or move data that you have reserved as a sensitive way, you will know who is there and what they are trying to do with it.
Used in combination with a capable ransomware Service To manage against attacks, DLP can prevent external threat factors from gaining access to and moving your sensitive data.
Integrations solves DLP challenges in modern architectures
There are a few core possibilities to consider that make a big difference in the effectiveness and usability of a DLP solution. Historically, some primary complaints were the lack of integrations and limited ability to prevent employees from making established parameters.
Modern DLP tools can integrate with tens of thousands of web applications used by employees, from e -mail to slack, SalesforceTeams and others. A DLP solution designed for today’s infrastructure can also keep an eye on what users submit to LLMS.
With adjusted rules you can scan LLM inputs on discreet data types, such as credit card numbers, customer records, valuable source codeAnd even confidential keywords that can indicate a very sensitive project or in anticipation of a business deal. If you can define it, an integrated DLP can look forward to it and prevent unauthorized actions.
Context and adjustments are the key to quick response and efficient alert triage
Every threat has not been made equal. Leading DLP tools offer flexibility when adjusting rules and answers to almost every scenario. To achieve the best results, your security team must start finding and defining your sensitive data, which may differ from one company to another. CRM Lists, source code, customer data – it is up to you to decide what you want to check.
An advanced DLP can then use your unique content definitions to stimulate tailor -made response actions. What if a user tries to exfiltrate sensitive customer data? Your DLP can automatically block the promotion and immediately inform your security team. As an alternative, a less risky action can activate a pop-up window that offers active coaching and policy recovery to help change user behavior. The DLP can allow an action after confirming the user’s identity via an extra authentication prompt, or allowing an action but automatically edits sensitive data, such as patient’s names or payment card numbers.
The ability to adjust your DLP strategy by choosing the automated response based on the severity of the threat makes a faster and more effective response to each event possible. By adding the context to give the most urgent risks to the surface, you also reduce the non-critical reports that are sent to your security and IT teams and retain their time for situations with high priority that require their attention.
Data loss prevention is a priority for companies that navigate through the AI era. Managing and protecting data that is moved by the organization requires integrated tools that can act as a traffic light to stop risky actions, encourage users to adopt preferred behavior and apply automated rules to free your security and IT teams to concentrate on critical threats. Innovative solutions enable security and IT teams to prevent data leakage effectively, even in very flowing environments.
We mention the best data rescue service.
This article is produced as part of the TechRadarpro expert insight channel, where today we have the best and smartest spirits in the technology industry. The views expressed here are those of the author and are not necessarily those of TechRadarpro or Future PLC. If you are interested in contributing to find out more here: https://www.techradar.com/news/submit-your-story-techradar-pro
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