Data Loss Prevention (DLP) is the practice of detecting and preventing data breaches, exfiltration, or unwanted destruction of sensitive data. It refers to defending organizations against both data loss and data leak prevention. Data leak refers to data that’s unintentionally pushed out, accessible to theft, easily exposed to download via web apps or USB devices and others. It is an event in which important data is lost to the enterprise, such as in a ransomware attack.
Prevent illicit transfer of your sensitive data outside your organizational boundaries!
Get Connectis Data Loss Prevention to protect & secure your data, and comply with regulations.
Potential Causes of Leak
- Insider threats — a malicious insider, or an attacker who has compromised a privileged user account, abuses their permissions and attempts to move data outside the organization.
- Extrusion by attackers — many cyber attacks have sensitive data as their target. Attackers penetrate the security perimeter using techniques like phishing, malware or code injection, and gain access to sensitive data.
- Unintentional or negligent data exposure — many data leaks occur as a result of employees who lose sensitive data in public, provide open Internet access to data, or fail to restrict access per organizational policies.
Benefits of DLP
Protect Personally Identifiable Information (PII) & comply with relevant regulations
Protect Intellectual Property critical for the organization
Achieve data visibility in large organizations
Secure mobile workforce & enforce security in Bring Your Own Device (BYOD) environments
Secure data on remote cloud systems
Our Process
- We conduct interviews with key stakeholders and gather information on how data at rest and data in motion are stored and how internal systems that push data categorize the classification of the data.
- We recognize the security implications that must be maintained based on the classification.
- We conduct the analysis keeping the following security service objectives in mind
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- Advise on the DLP controls required
- Effectively manage data loss risks
- Prevent the intentional or unintentional disclosure of sensitive data
- Maintain adequate security and usability
- Enforce compliance
- Finally, our report identifies and makes recommendations on how your policies should control the data flow
Why engage Connectis?
Connectis DLP services help organizations recognize which assets require protection and how to protect them from data leak. We’ll provide a Summary of Findings for DLP. Our service includes identifying and classifying information that is Confidential, Public, and Private. Our cyber security experts ensure:
- Securing data in motion: technology installed at the network edge can analyze traffic to detect sensitive data sent in violation of security policies.
- Securing endpoints: endpoint-based agents can control information transfer between users, groups of users, and external parties. Some endpoint-based systems can block attempted communications in real time and provide user feedback.
- Securing data at rest: access control, encryption and data retention policies can protect archived organizational data.
- Securing data in use: some DLP systems can monitor and flag unauthorized activities that users may intentionally or unintentionally perform in their interactions with data.
- Data identification: it is crucial to determine if data needs to be protected or not. Data can be defined as sensitive either done manually by applying rules and metadata, or automatically via techniques like machine learning.
