TL;DR:
Data Loss Prevention M365 is a robust feature designed to help organizations protect sensitive information and prevent unintentional sharing. This is crucial in today's digital age, where data breaches and leaks can lead to significant financial losses, legal issues, and reputational damage. DLP policies identify, monitor, and protect sensitive data through deep content analysis. They help ensure that sensitive information such as credit card numbers, social security numbers, and health records are not shared inappropriately.
A bank uses DLP policies to prevent employees from accidentally sharing customer credit card information through email. When an email containing credit card numbers is detected, the DLP policy can block the email from being sent and notify the compliance officer.
A hospital employs DLP to protect patient health information (PHI). If a staff member tries to share a document containing PHI through a cloud storage service, the DLP system will automatically encrypt the document, ensuring it remains secure even if shared outside the organization.
A large corporation uses DLP to safeguard intellectual property. When sensitive documents containing proprietary information are detected, the DLP system can redact sensitive content before allowing the document to be shared, thereby protecting trade secrets and other confidential information.
Unauthorized access to sensitive information can lead to data breaches, which can have severe consequences for any organization. DLP policies help prevent this by ensuring sensitive data is protected and only accessible to authorized personnel.
Many industries are subject to stringent regulatory requirements such as PCI DSS, HIPAA, and GDPR. Non-compliance can result in hefty fines and legal repercussions. DLP ensures that sensitive data is handled in accordance with these regulations, thus helping organizations stay compliant.
Employees, whether malicious or negligent, can pose significant risks to data security. DLP policies can monitor and control the flow of sensitive information, mitigating the risks posed by insiders who may unintentionally or intentionally share confidential data.
Preventing Data Leakage: DLP policies help prevent data leakage by detecting and blocking the sharing of sensitive information outside the organization’s approved channels. This is essential for protecting proprietary information and maintaining competitive advantage.
As organizations increasingly adopt cloud services, ensuring the security of data in these environments becomes crucial. DLP policies extend data protection measures to cloud applications and services, ensuring that sensitive information remains secure, regardless of where it is stored or accessed.
DLP solutions provide detailed insights into how data is being used and shared within an organization. This visibility helps in identifying potential risks and vulnerabilities, allowing for proactive measures to be taken to protect sensitive information.
Comprehensive Data Detection: An ideal DLP solution must have the ability to detect a wide range of sensitive data elements. This includes personally identifiable information (PII), payment card information (PCI), protected health information (PHI), and other confidential data. The solution should support both built-in and custom detectors to cater to specific organizational needs.
Effective DLP solutions use advanced machine learning models to accurately classify sensitive data with minimal false positives and negatives. This ensures that only the most critical data is protected, reducing the risk of over-blocking legitimate business activities.
An ideal DLP solution should seamlessly integrate with existing IT infrastructure, including SaaS applications, cloud services, and endpoints. This integration ensures that data protection measures are consistently applied across all platforms where sensitive data may reside or be transmitted.
Continuous monitoring of data usage and movement is essential for identifying and mitigating potential risks in real time. Robust reporting capabilities provide valuable insights into data security incidents and help organizations maintain compliance with regulatory requirements.
A versatile DLP solution should offer a range of remediation actions, including redaction, encryption, blocking, alerting, and deletion. This flexibility allows organizations to tailor data protection measures to their specific needs and risk tolerance levels.
Managing DLP policies should be intuitive and straightforward. A user-friendly interface enables security teams to easily create, modify, and enforce policies, ensuring that data protection measures are both effective and manageable.
Strac is a SaaS/Cloud and Endpoint DLP solution that stands out with its comprehensive and innovative features designed to address modern data security challenges.
Strac supports a wide range of sensitive data elements for compliance with regulations such as PCI, HIPAA, GDPR, and more. Customers can also configure their own data elements, making Strac highly customizable. Notably, Strac is the only DLP solution that can detect and redact sensitive information in images (jpeg, png, screenshots) and perform deep content inspection on document formats like PDFs and Word documents.
Strac integrates with existing IT environments in under 10 minutes, providing immediate DLP/live scanning/live redaction capabilities on SaaS applications. This quick integration process ensures that organizations can rapidly deploy robust data protection measures.
Utilizing custom machine learning models trained on sensitive PII, PHI, PCI, and other confidential data, Strac offers high accuracy with minimal false positives and negatives. This precision ensures that sensitive data is reliably protected.
Strac boasts the widest and deepest range of SaaS and Cloud integrations. This extensive integration capability ensures comprehensive data protection across all platforms used by an organization.
Strac integrates with leading AI and LLM APIs and websites, such as ChatGPT, Google Bard, and Microsoft Copilot. This integration helps protect AI applications and safeguard sensitive data in these environments.
Strac offers a unique and comprehensive DLP solution that works seamlessly across SaaS, Cloud, and Endpoint environments. This ensures consistent data protection measures, regardless of where sensitive data resides or is accessed.
Strac provides developers with APIs to detect or redact sensitive data. This support allows for easy integration of DLP capabilities into custom applications and workflows.
Strac can redact sensitive text within any attachment, ensuring that sensitive information is protected even when shared via email or other communication channels.
Data Loss Prevention M365 is essential for protecting sensitive information and ensuring regulatory compliance. An effective DLP solution must offer comprehensive data detection, accurate classification, seamless integration, real-time monitoring, flexible remediation actions, and user-friendly policy management. Strac stands out as a leading DLP solution with its innovative features, extensive integrations, and customizable configurations. By implementing Strac, organizations can effectively safeguard their sensitive data and mitigate the risks associated with data breaches, compliance violations, and insider threats.
.avif){kind=icon}
.gif)
.webp)
