Safetica Intelligent Data Security protects sensitive enterprise data wherever your team uses it.
Safetica is a global software company that provides Data Loss Prevention and Insider Risk Management solutions to organizations.
✔️ Know what to protect: Accurately pinpoint personally identifiable information, intellectual property, financial data, and more, wherever it is utilized across the enterprise, cloud, and endpoint devices.
✔️ Prevent threats: Identify and address risky activities through automatic detection of unusual file access, email interactions, and web activity. Receive the alerts necessary to proactively identify risks and prevent data breaches.
✔️ Secure your data: Block unauthorized exposure of sensitive personal data, trade secrets, and intellectual property.
✔️ Work smarter: Assist teams with real-time data handling cues as they access and share sensitive information.
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Jscrambler is the leader in Client-Side Security, protecting the code, data, and digital interactions that power today’s modern web applications.
Modern applications are changing rapidly as development teams adopt AI-generated code, rely on third-party software components, and embed AI-powered agents into digital experiences. Meanwhile, sensitive information is increasingly created and processed in the browser itself. This creates a critical gap in enterprise security: organizations need to govern not only what code enters an application, but how that code, scripts, and data behave when the application runs.
Jscrambler closes that gap with a Client-Side Security Platform built around its Behavioral Enforcement Core. The platform continuously monitors and enforces how application code, including AI-generated code, third-party scripts, AI agents, and sensitive data behave in the browser. By enforcing software integrity and data governance at runtime, Jscrambler gives organizations control at the point where code executes and data is created—before sensitive information can be exposed or transmitted.
Organizations across retail, financial services, travel, healthcare, and other industries use Jscrambler to detect and stop client-side attacks, protect against risks introduced by AI-developed and third-party code, control AI-driven data flows, and strengthen compliance with requirements including PCI DSS, GDPR, HIPAA, CIPA, CCPA, and the EU AI Act.
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BigID
Data visibility and control for security, compliance, privacy, and governance. BigID's platform includes a foundational data discovery platform combining data classification and cataloging for finding personal, sensitive and high value data - plus a modular array of add on apps for solving discrete problems in privacy, security and governance.
Automate scans, discovery, classification, workflows, and more on the data you need - and find all PI, PII, sensitive, and critical data across unstructured and structured data, on-prem and in the cloud.
BigID uses advanced machine learning and data intelligence to help enterprises better manage and protect their customer & sensitive data, meet data privacy and protection regulations, and leverage unmatched coverage for all data across all data stores.
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OneTrust Privacy Automation
Transparency, choice and control are key to trust. Organizations have the opportunity to leverage these moments to build trust, and provide more valuable experiences. People expect greater control over their data. We offer privacy and data governance automation to help organizations better understand and comply with regulatory requirements. We also operationalize risk mitigation to ensure transparency and choice for individuals. Your organization will be able to achieve data privacy compliance quicker and build trust. Our platform helps to break down silos between processes, workflows, teams, and people to operationalize regulatory compliance. It also allows for trusted data use. Building proactive privacy programs that are rooted in global best practice and not just reacting to individual regulations is possible. To drive mitigation and risk-based decision-making, gain visibility into unknown risks. Respect individual choice and integrate privacy and security by default in the data lifecycle.
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