Solutions

Strengthening Your Data Defense Effective data safeguarding begins with acquainting both individuals and corporate systems with the content of files, a pivotal aspect in ensuring proper handling. To deliver this vital information, a robust classification solution becomes indispensable. Through assessing the business value of unstructured data, organizations can aptly decide how to manage their documents. The Significance of Information Security Shielding individual, customer, employee data, and internal sensitive information has transformed into an undeniable business necessity. Regulatory standards like GDPR have been established to meet people’s expectations regarding data handling. While the corporate perimeter was once a paramount concern, it has now contracted to envelop the data itself. Failing to adapt puts an organization’s reputation and very survival at stake. Context: The Foundation of Data Security Everyday unstructured data—documents and emails—comprise a treasure trove of valuable information, open to both virtuous and malicious purposes, contingent on access. Assigning these documents classifications provides the essential context for security policies to activate and apply the fitting level of protection, ensuring meticulous safeguarding of organizational data. Elevated Security through Machine Learning In recent times, the data security landscape has been abuzz with the advantages bestowed by machine learning. Envision crafting, storing, and being confident that data receives precise and uniform classification, coupled with seamless, automated application of suitable protection—powered by machine learning. Machine learning elevates organizational protection, conserving time in both the preliminary and concluding stages of the process. Safeguard Your Data, Fortify Your Organization Adequate protection stems from comprehensive awareness of your data’s existence. This underscores the importance of data classification. It lends the context required for reporting and prompts precise policy enforcement, a timely defense against the ultimate threat to trust: data breaches.

Identifying and Safeguarding Data To effectively protect data, it’s crucial to recognize what data you possess. Businesses nowadays amass an abundance of data, encompassing proprietary, financial, employee, and customer information. This data is ubiquitous, residing on local machines, networks, mobile devices, and within the Cloud. Furthermore, the emergence of new security regulations has amplified concerns regarding the identification and security of data at rest. However, a prerequisite for safeguarding your data is mastering its identification. Initiating data protection begins with identification. By adeptly identifying your data, you can apply appropriate protective measures, prompt others to handle it cautiously, and trigger security protocols automatically. Consequently, your personnel and systems can collaborate to mitigate risks and satisfy compliance requisites. Titus Data Classification excels in identifying sensitive data in motion, while Titus Illuminate specializes in recognizing data at rest. Leveraging machine learning capabilities, Titus identifies and shields sensitive data based on categories you’ve trained the system to discern, such as confidential financial reports, internal design documents, or public news releases. A Solution for Efficient Data Identification Thoroughly scan and analyze data during its creation, while in transit, and while at rest. Then, affix suitable identification attributes. Titus empowers you to apply and detect metadata on data at rest, allowing you to validate regulatory compliance. Our solutions seamlessly integrate with encryption and enterprise digital rights management (EDRM) software, ensuring adherence to the General Data Protection Regulation (GDPR) and other regulations. Employ data loss prevention (DLP), enterprise rights management (ERM), cloud access security brokers (CASB), and next-generation firewall solutions to comprehend and implement Titus metadata, thereby enforcing appropriate data protection policies. The metadata incorporated by Titus into files and emails can be harnessed by other components within your data security framework—data loss prevention (DLP), enterprise rights management (ERM), cloud access security brokers (CASB), and next-generation firewall solutions. This unified, integrated approach streamlines the global application of fitting data protection policies. Titus solutions empower organizations to discern, categorize, and fortify information, fostering confidence among individuals as they engage with protected sensitive information across all platforms. Titus effectively mitigates risk by overseeing access to sensitive data and disposing of redundant or outdated data.  

Contextual Automation In the digital age, organizations grapple with securing sensitive data. This challenge escalates as data volumes surge. Protecting varied data types—financial, personal, healthcare—demands collaboration, not reliance on a single solution. An integrated product ecosystem is crucial to comprehensively cover potential vulnerabilities. Automating security products eases the burden on staff, enabling them to focus on core business goals. However, automated systems can breed uncertainty among users, impacting trust in accuracy. Solution: Titus tackles these concerns by adding context to data, empowering the security ecosystem for precise security decisions. Our solution enhances ecosystem intelligence and serves as a policy intermediary for consistent safeguarding. Approach: In security automation, Titus enriches data context, informing perimeter tools. Titus’ metadata in files and emails streamlines cohesive, accurate security choices. Enhance DLP products’ accuracy, curbing data leakage via email using policies like attachment scans. Employ data identification with access management to control access based on user attributes. Facilitate CASB products in informed cloud migration decisions. Leverage metadata for privacy management, bolstering privacy incident detection. Titus’ labeling ensures compliance. Provide logs for automation triggering security workflows. Use visualization and analysis tools for baseline behavior, detecting insider threats. Automate adaptable encryption based on Titus metadata.