SaaS Data Leak & Loss Prevention Solution

Organizations prevent sensitive data from being shared with AI tools by implementing Data Loss Prevention (DLP) policies that identify sensitive information before it leaves the organization. Modern DLP solutions monitor user activity across SaaS applications, browsers, email, and AI assistants to detect and prevent unauthorized sharing of regulated, confidential, or proprietary data. Depending on organizational policies, DLP can alert users, block sensitive content from being submitted, or require additional approval before information is shared. This helps organizations reduce data leaks while enabling employees to use AI tools securely.

Data leak prevention focuses on stopping sensitive information from being exposed or transmitted to unauthorized parties — the concern is unauthorized outbound access, sharing, or exfiltration. Data loss prevention is a broader term that encompasses leak prevention but also covers scenarios where data is destroyed, deleted, or made unavailable due to accidental deletion, ransomware, or system failure. This DLP solution is Spin.AI’s data leak prevention product. Organizations that also need protection against data loss through deletion or ransomware can find those capabilities in SpinBackup and RDR within the SpinOne platform.

Our DLP solution detects 15+ out-of-the-box sensitive data types organized into four categories: identity information (names, SSNs, email addresses, IP addresses, usernames, passwords, domain names); financial information (credit card numbers, bank account numbers, tax IDs, SWIFT codes, IBANs); health information (PHI, HIPAA-regulated ePHI, patient records, insurance numbers); and custom data types defined using regular expressions and your organization’s proprietary data dictionary.

Native controls in Google Workspace and Microsoft Purview provide a baseline for content policy enforcement, but leave meaningful gaps. They don’t provide visibility into abnormal user sharing behavior, don’t cover data flowing through browser extensions and OAuth apps, and can’t monitor sensitive data entering AI tools like ChatGPT or Gemini. Spin.AI’s DLP solution fills these gaps with behavioral analytics, third-party app risk monitoring, GenAI data flow governance, and automated incident response — all in a single agentless deployment that takes hours rather than weeks.

Each of these regulations requires organizations to implement technical controls that prevent unauthorized access to and disclosure of sensitive data. DLP from Spin.AI addresses this directly: it automatically identifies and classifies regulated data types (PII, PHI, PCI), enforces sharing policies that restrict unauthorized transmission, generates audit-ready incident logs, and provides continuous monitoring that demonstrates controls are operational — not just configured. GDPR violations can reach 4% of global annual turnover. HIPAA violations can result in penalties of up to $50,000 per record. Our DLP tool reduces that exposure by catching violations before they become incidents.

Spin.AI DLP monitors and classifies your data — it does not directly modify company files. It uses 256-bit AES encryption, two-factor authentication, and robust access controls to ensure the data it processes is never itself exposed. Monitored data is stored on AWS, GCP, Azure, or your own storage (BYOS), giving you full control over where it resides.

Yes. Our DLP, working with SpinCRX continuous enterprise browser security, monitors and governs data flows to generative AI services including ChatGPT, Google Gemini, Microsoft Copilot, and other GenAI platforms. It classifies sensitive content before it reaches an unauthorized AI tool, enforces policies that block or alert on those transfers, and gives security teams visibility into which AI tools employees are using — including shadow AI accessed through personal accounts.

Yes. Spin.AI’s DLP’s agentless, API-based architecture provides visibility across all devices accessing your Google Workspace or Microsoft 365 environment — corporate laptops, personal phones, and tablets — without requiring an endpoint agent on each device.

Yes. Spin.AI DLP scans the contents of zip archives including encrypted zip files to detect sensitive data and enforce sharing policies, ensuring that compression cannot be used to bypass detection.

Our DLP solution can automatically: remove external sharing links, make files private, transfer file ownership to an admin, suspend the user’s access, remove external collaborators from shared resources, and send real-time alerts to Splunk, ServiceNow, Jira, Slack, or Microsoft Teams. All responses are configurable — administrators define which actions apply to which policies, users, and data types.

Legacy enterprise DLP tools were designed for on-premises networks and endpoint environments. They require agents, proxies, or inline deployment — and they can’t cover SaaS data that never touches a corporate network perimeter. DLP from Spin.AI is purpose-built for cloud-first organizations. It connects directly to your SaaS APIs, deploys in hours rather than weeks, and delivers full visibility across Google Workspace and Microsoft 365 without any on-premises infrastructure.