Frequently Asked Questions

Most tools inspect files and fire alerts; we connect data to people and rights. Lightbeam’s Data Identity Graph links sensitive content to human identities, then adds risk scoring and governance so you can act. You get visibility, automated access revocation, file‑type controls, and audit evidence in one console, DSPM that measures and fixes posture continuously.

Lightbeam generates a dynamic score per file and data source by analyzing the presence and volume of sensitive data, plus contextual signals like identity and access. Scores surface the highest‑risk items, help benchmark posture, and drive automated playbooks when thresholds are crossed, so teams prioritize with evidence, not hunches. Scores update as content and permissions change.

Access Review certifies permissions by drive, folder, group, or user with a three‑state workflow and immutable logging; one‑click CSV export makes SOC 2 and ISO 27001 evidence simple. From the same UI, policies revoke excessive access, quarantine files, or suspend accounts, closing the loop. It’s identity‑centric governance that sustains least privilege and shortens audits.

Policies define conditions (e.g., open or excessive access, PHI in shared folders, file‑type rules, or behavior anomalies) and actions. High‑risk violations can trigger automatic revocation, redaction, archival, or deletion; medium‑risk events route to review with one‑click fixes. Risk Scores, UEBA signals, and identity context ensure precision and auditability.

The platform learns each identity’s normal cadence across reads, writes, deletes, and encrypts. Velocity spikes or unusual access to sensitive folders trigger alerts enriched with sensitivity and data context, so analysts see impact and can auto‑contain in seconds.

Yes. Policy playbooks can suspend live sessions, revoke permissions, or quarantine compromised identities the moment thresholds are exceeded. Actions happen in the same console and are fully logged, preserving a defensible audit trail for post‑incident reporting.

Traditional tools rely on periodic scans and static rules, which miss insider‑style surges. Lightbeam ties behavior to identity and access rights, then acts immediately with no scripts or extra consoles, reducing dwell time and delivering executive‑ready incident reports by default.

Traditional tools stop at alerts. Lightbeam enriches anomalies with identity, sensitivity, and effective‑access context, then triggers policy playbooks to suspend sessions, revoke access, or quarantine files, closing the loop with audit‑ready evidence.

Yes. The platform learns normal write/delete cadence per user and flags velocity spikes and encryption fingerprints across SMB, SharePoint, OneDrive, and more, enabling one‑click or automated containment.

UEBA signals flow into Access Governance and scheduled reviews, so anomalous behavior leads to rights cleanup and provable attestations. Exportable logs and reports help with SOC 2, ISO, and PCI evidence.

Unlike DLP tools that look only at content patterns, the Lightbeam Data Identity Graph maps every sensitive element to its owner and typical access context. When an unusual movement or sharing event occurs, the platform raises an alert within minutes and can trigger automated remediation workflows. This contextual approach spots breaches early while reducing false positives.

Yes. Lightbeam supports SaaS, private cloud, and fully on-premises deployments. With private cloud and on-premises deployments, your data never leaves your control.

No, Lightbeam can be deployed in your own cloud environment or on-premises with no external access to any of the data. Additional all training of the Data Identity Graph model is local to your deployment and not re-used for other customers.

Lightbeam uses vendor-approved APIs for cloud and SaaS, pulling metadata and only analyzing content when deep inspection is needed. For on-prem assets, connectors run in separate containers with configurable rate limits and schedules to minimize impact on systems.

Yes. The risk engine lets you adjust weightings for each sensitive attribute, like card numbers or medical records, and add custom attributes critical to your business. You can also tweak scores using volume, location, or access levels. Updates apply instantly to dashboards, reports, and automated policies, keeping the metric aligned with regulatory and business priorities.

Lightbeam learns per‑user baselines for reads, writes, deletes, and access frequency, then flags deviations weighted by data sensitivity and accessibility. Alerts arrive enriched with ownership, access‑rights, and identity context so analysts see who was affected and why. From the same console, you can suspend sessions, revoke access, or quarantine files, shrinking investigation time and ending alert ping‑pong.

UEBA continuously ingests events across SharePoint, SMB, Azure File Share, SaaS apps, and other data sources. It profiles workforce users, service accounts, and external collaborators to build adaptive baselines. When activity veers, like a five‑fold spike in writes or first‑time access to a sensitive folder, the anomaly is flagged with timeline and file‑level detail for drill‑down and response.

Lightbeam scans every repository, classifies sensitive content, and builds a Data Identity Graph that maps data attributes to real people. Sensitive Data is then labeled appropriately and AI agents are not given access to those sensitive documents. In addition, Lightbeam monitors documents uploaded or shared by users to ensure data isn’t leaked.

Legacy DLP relies on patterns alone. Lightbeam adds identity and context. Its Data Identity Graph links data to owners, permissions, and business purposes, letting you enforce least privilege, automate fixes, and report from a single console. That precision drives 96%+ discovery accuracy.

Yes. Lightbeam automatically inventories AI-relevant data, applies risk scores, and produces audit evidence aligned to EU AI Act, CCPA (as amended with CPRA), and other frameworks. Policy automation enforces acceptable use, and dashboards show risk density and remediation progress, giving you the documentation regulators expect without manual effort.

Lightbeam scans document text and metadata, automatically extracting dates like contract start and end. Your policies reference these values so archival, redaction, or deletion occurs exactly when obligations expire, without regex or scripts.

Every action is logged with timestamp, user, policy, and object details. Exportable reports show before-and-after snapshots, giving auditors full audit trails.

Lightbeam scans databases, file shares, and LMS platforms, classifies education records as FERPA data, and maps each file to the right student. The catalog stays current, letting you export records, run retention checks, and pull audit logs in seconds. Because discovery and reporting are automated, registrars and IT stay compliant with no manual data searches or added staff.

Yes. Lightbeam uses contextual AI to detect sensitive information beyond simple keywords, including data covered by ITAR or proprietary formulas in grant documents. It links each file to the researcher and project, flags exposure risks, and can auto‑lock access if material lives in public folders or is shared outside approved domains, helping universities protect IP and meet export‑control obligations.

Lightbeam keeps a live map of every spot your customers’ personal data lives, tied to each identity and retention rule. When a data subject request hits, the platform verifies the requester, searches connected systems, gathers matching files, redacts non‑subject data, and packages the response in the required format, no spreadsheets, no ticket chasing.

Yes. The Lightbeam Platform architecture lets you run the full platform on‑premises or in a private cloud, keeping sensitive content behind your firewall. Its AI models process metadata on your infrastructure, generate context‑rich risk scores, and send only anonymized findings to the dashboard. Nothing leaves your environment unless you choose to export a report.

Lightbeam is available to deploy completely on-premises or inside of your VPC in any public cloud such as AWS, Azure, GCP, and Oracle.

Yes. Lightbeam’s DSPM connects to collaboration and business applications including Microsoft Teams, Slack, Jira, and Salesforce to discover and classify sensitive data across them. It maps data to identities using its Data Identity Graph and overlays access governance to identify exposure risks. This unified approach ensures consistent classification, risk scoring, and remediation across SaaS environments without deploying separate tools for each platform.

Yes. Lightbeam is built for enterprise-scale environments, supporting large data volumes across cloud, SaaS, and on-prem systems. Its Data Identity Graph enables continuous discovery, contextual classification, and identity-based risk scoring at scale. Automated remediation and access governance workflows help large organizations reduce exposure efficiently while maintaining audit-ready reporting across regulatory frameworks like GDPR, HIPAA, and PCI.

Yes. Lightbeam provides ransomware protection that integrates directly with Microsoft 365, including Teams, SharePoint, and OneDrive. Using identity-aware behavior analytics, it detects abnormal activity such as mass downloads or write spikes and automatically triggers containment actions. Because protection is data-centric and API-driven, Lightbeam helps stop ransomware at the access layer while preserving audit logs for investigation and compliance reporting.

Yes. Lightbeam delivers breach detection and ransomware protection across both Microsoft 365 and Google Workspace environments. It monitors identity-based access patterns in SharePoint, OneDrive, Teams, Google Drive, and Gmail to detect abnormal behavior such as mass downloads or unusual writes. Automated containment actions and audit logging help reduce blast radius while preserving compliance-ready evidence across both ecosystems.

Yes. Lightbeam captures detailed file metadata, user identity context, and behavior analytics during ransomware or breach events. These enriched logs can be forwarded to SIEM and SOAR platforms to support investigation and automated response workflows. Because Lightbeam is identity-centric, alerts include information about affected users, data sensitivity, and access paths—providing deeper context than traditional endpoint-only detections.

Yes. Lightbeam logs ransomware-related alerts, user behavior anomalies, remediation actions, and approval workflows with full audit trails. Because it maps sensitive data to identities and regulatory categories (such as HIPAA and PCI), incident reports include context required for healthcare, financial services, and retail compliance investigations. Exportable logs and risk scoring dashboards help organizations demonstrate containment, impact assessment, and corrective action to regulators.

Most tools tag content only. Lightbeam adds identity and access context, so you see whose data it is and who can reach it. Custom attributes, out‑of‑box labels, and wide source coverage turn categories into action for governance, privacy, and DSPM. That’s how classification drives outcomes, not noise.

Structured databases, file shares (SMB), SharePoint, Google Drive, Databricks, SAP HANA, Confluence, Google Cloud Storage, and more—plus BLOBs, XML, Parquet, and compressed files. Future‑proof scans keep coverage current across new databases.

Yes. Create your own classifiers and attributes; apply PCI/PII/PHI labels; then route into policies that trigger redaction, access revocation, retention, and audit exports. Classification becomes the engine for risk scoring and governance, closing the loop.

Lightbeam connects via APIs, then uses parallel processing and auto-sclaing to scan data at rest. Its Contextual-AI Engines built on top of NLP and RAG (among other techniques), identify sensitive attributes and personal identifiers, while the Data Identity Graph resolves each record to an owner. Because scanning happens out-of-band with throttling controls, production performance stays safe, and no sensitive data or metadata ever leaves your environment.

Absolutely. Security teams can build custom detectors to identify proprietary business data formats. Lightbeam trains new lightweight models inside your boundary, so sensitive AI training material never leaves your organization. Custom tags flow into dashboards and downstream enforcement just like built-in ones.

Lightbeam writes native sensitivity labels via public APIs, preserving encryption keys and retention settings. As labels sync, Purview, Google Drive, and other DLP tools automatically enforce your policies, with no manual rule updates.

Lightbeam applies native labels for your DLP engine, saving it from needing to scan the files, and allowing it to focus on what it does best: Enforcement.

Yes. Lightbeam’s contextual AI discovers and classifies data independently, then writes Purview labels. A California Bank saw accuracy increase dramatically after Lightbeam classification and labeling, improving Proofpoint DLP effectiveness.

Yes. Lightbeam’s DSPM continuously scans cloud storage like Amazon S3, structured databases, SaaS apps, and file shares to uncover hidden or unmanaged sensitive data. Its Data Identity Graph classifies data contextually and links it to identities, ensuring shadow databases and forgotten buckets containing PII, PHI, or PCI data are discovered, risk-scored, and brought under governance automatically.

Yes. Lightbeam’s DSPM classifies PII and PHI across structured databases and unstructured sources including PDFs, emails, chat platforms, and file shares. Using its AI-powered Data Identity Graph, Lightbeam understands data context—not just patterns—so sensitive information is accurately labeled and mapped to identities. Classification feeds directly into access governance, DLP, and automated remediation workflows within a single unified platform.

Yes. Lightbeam’s Data Identity Graph links each classified record to the individual it represents—whether a customer, patient, or employee. It connects structured and unstructured data elements across systems using identity resolution, so PII and PHI are mapped to real people, not just files. This identity-centric approach enables precise access governance, accurate DSAR fulfillment, and risk scoring tied directly to individuals.

Yes. Lightbeam automatically classifies and labels PII and PHI across structured and unstructured data sources. It includes out-of-the-box regulatory labels (PCI, HIPAA, GDPR) and supports custom attributes. These labels can integrate with existing DLP and security ecosystems, improving policy accuracy and reducing false positives by ensuring downstream tools act on identity-aware, contextually classified data.

Yes. Lightbeam classifies sensitive data and generates identity-centric risk scores by user, group, and department. Its Data Identity Graph connects data sensitivity, ownership, and access exposure into a unified risk score, allowing teams to prioritize remediation based on real business impact. This context-driven scoring helps security and privacy leaders focus on the riskiest individuals or teams first, not just isolated files.

Yes. Lightbeam classifies sensitive data across cloud SaaS applications and on-prem databases within a single platform. It connects to systems like Microsoft 365, Google Workspace, Salesforce, and AWS, as well as SQL and NoSQL databases and file shares. Using its Data Identity Graph, Lightbeam applies consistent, identity-aware classification policies across environments without requiring separate tools.

Yes. Lightbeam automatically classifies contract documents, HR files, and other sensitive records using AI-powered contextual analysis. It scans unstructured data across file shares, SaaS apps, and databases to identify PII, employment data, financial terms, and other regulated content. Classification labels are identity-aware and feed directly into access governance, retention policies, and automated remediation workflows.

Yes. Lightbeam automatically identifies and labels cardholder data—even when it’s embedded in spreadsheets, CSV files, or database exports. Its classification engine scans structured and unstructured sources, detects PCI-relevant fields, and applies identity-aware labels. These labels feed into access governance, DLP, and compliance workflows, helping organizations reduce PCI exposure across cloud and on-prem environments.

Traditional tools list permissions without identity or sensitivity context, forcing manual correlation and tickets. Lightbeam maps rights to real people and whose data is at stake, launches drive/folder/group/user reviews, and auto‑revokes open or excessive access with audit‑ready logs, sustaining least privilege in one console.

Yes. Access governance spans every file, revealing open or excessive patterns other tools miss. Enforce policies by file type to keep risky formats in check, and apply folder‑level controls on SMB shares to modernize legacy systems, all with centralized logs and playbooks.

Copilot prompts, responses, and shared files are captured, classified, and tied to entitlements for safe AI use. UEBA flags anomalous access; ransomware detection spots mass encryption; both feed policy playbooks that suspend sessions or revoke access in seconds, with one audit trail from alert to action.

Legacy tools scan permissions but ignore data context. The Lightbeam platform links each permission to sensitive content and the person it represents through the Data identity Graph. This reveals who has access to whose data, prioritizes risk, and automates remediation with policy workflows, reducing unauthorized access by up to 90%.

Yes. Policies watch for open, external, or excessive access. When triggered, the platform changes the permissions at the source, notifies owners, logs the action, and verifies closure. Automation enforces consistency and cuts exposure time drastically.

Lightbeam Data Access Governance supports any data source that Lightbeam supports.

Risk Scoring surfaces risk based on the content’s sensitivity and customizable weighting you define. It does not directly revoke access. Security teams can, however, build policies that act on high-risk scores, such as alerting, labeling, or revoking permissions, using the playbooks engine in the Lightbeam platform.

Yes. Lightbeam is designed for healthcare-grade access governance by mapping PHI/PII to identities and showing exactly who can access what across systems like Microsoft 365, file shares, and databases. It helps enforce least privilege with policy-based controls, access reviews, and automated remediation for excessive or risky access. Audit-ready logs support HIPAA investigations and internal compliance reporting without relying on manual permission audits.

Yes. Lightbeam supports approval workflows within its Access Governance module, allowing access reviews and remediation actions to be routed to designated data owners. Policies can trigger automated reviews for excessive or risky permissions, while maintaining full audit trails of approvals and changes. This ensures least-privilege enforcement with clear accountability—without relying on manual spreadsheet-based access reviews.

Yes. Lightbeam integrates with ticketing systems such as Zendesk and ServiceNow to streamline remediation for access governance issues. When excessive or risky permissions are identified, workflows can trigger tickets for review, approval, or closure within your existing operational systems. This allows organizations to manage remediation inside established processes while maintaining identity-aware audit trails and compliance-ready documentation.

Yes. Lightbeam unifies Data Security Posture Management (DSPM) and Data Access Governance in a single platform. It continuously discovers and classifies sensitive data across cloud, SaaS, and on-prem systems, then overlays identity-aware access controls to enforce least privilege. By connecting data sensitivity with user permissions in one system, Lightbeam eliminates tool sprawl and enables automated, risk-based remediation.

Yes. Lightbeam extends data access governance controls to Microsoft Copilot by monitoring identity-based access patterns and enforcing least-privilege policies. It maps sensitive data to users and groups, identifies excessive permissions that Copilot could inherit, and enables automated remediation. This helps reduce unintended data exposure through AI tools while maintaining audit logs for compliance and internal security reviews.

Yes. Lightbeam provides identity-centric visibility into who can access PII across Microsoft 365 and Google Workspace. It maps permissions in SharePoint, OneDrive, Teams, Google Drive, and Gmail, linking sensitive data to users, groups, and access paths. This unified view enables least-privilege enforcement and automated remediation while maintaining audit-ready logs for compliance and security reporting.

Yes. Lightbeam provides file-level visibility into exactly who can open a file and how access is granted—whether through direct permissions, group membership, or shared links. It overlays sensitive data classification with identity-based access mapping, so you can see exposure paths clearly. This enables targeted remediation, enforcement of least privilege, and audit-ready reporting without manual permission reviews.

Yes. Lightbeam detects ransomware by analyzing identity-based data access patterns, not just endpoint signals. Its behavior analytics monitor abnormal activities such as mass downloads, unusual write spikes, or rapid permission changes across systems like Microsoft 365 and Google Workspace. When suspicious behavior is detected, automated containment actions can suspend sessions or revoke access, helping stop ransomware at the data layer before widespread encryption occurs.

Yes. Lightbeam monitors identity-based access behavior and can alert on suspicious activity involving high-value or sensitive data sets before encryption begins. By analyzing anomalies such as mass reads, unusual write activity, or abnormal permission changes, it helps detect potential ransomware early. Automated containment actions—such as revoking access or suspending sessions—can reduce blast radius while preserving audit logs for investigation.

Yes. Lightbeam enforces policies on SMB file shares/folders and across cloud and SaaS sources like SharePoint, OneDrive, Google Drive, and more. Actions and evidence stay in one console, with granular control by file type, label, or location. Playbooks trigger revocation, account disablement, or quarantine with full logs preserved, no extra agents or scripts.

Every alert, review, and action is captured with timestamps, approvers, and outcomes. Access Review exports audit‑ready CSVs for SOC 2 and ISO 27001, and incident reports map behavior, identities, and files involved. Ransomware Protection preserves a timeline of actions and blast radius—so evidence is ready without spreadsheet hunts. Three‑state reviews keep accountability clear.

Policies define conditions (e.g., open or excessive access, PHI in shared folders, file‑type rules, or behavior anomalies) and actions. High‑risk violations can trigger automatic revocation, redaction, archival, or deletion; medium‑risk events route to review with one‑click fixes. Risk Scores, UEBA signals, and identity context ensure precision and auditability.

Yes. Lightbeam enforces policies on SMB file shares/folders and across cloud and SaaS sources like SharePoint, OneDrive, Google Drive, and more. Actions and evidence stay in one console, with granular control by file type, label, or location. Playbooks trigger revocation, account disablement, or quarantine with full logs preserved, no extra agents or scripts.

Every alert, review, and action is captured with timestamps, approvers, and outcomes. Access Review exports audit‑ready CSVs for SOC 2 and ISO 27001, and incident reports map behavior, identities, and files involved. Ransomware Protection preserves a timeline of actions and blast radius, so evidence is ready without spreadsheet hunts. Multi-stage reviews keep accountability clear.

Yes. UEBA is integrated with Access Governance and Playbooks. You can auto‑suspend sessions, revoke permissions, remove group membership, or quarantine files in one click, with all actions immutably logged for auditors. Reviews and attestations live in the same console, so least‑privilege enforcement and incident response reinforce each other.

Before any destructive action, Lightbeam checks for legal-hold tags, classifications, and custom attributes. If a conflict exists, it can quarantine data, providing defensible preservation while eliminating exposure. Many customers also choose to archive and/or remove access to data rather than deleting it.

Yes. Lightbeam applies identity-aware data retention policies to safely manage stale PII in SharePoint. It discovers and classifies sensitive records, maps them to individuals, and enforces automated retention rules such as archival or deletion when conditions are met. Access can be revoked before deletion, and all actions are logged with audit trails—helping organizations reduce risk while maintaining compliance.

Yes. Lightbeam supports data retention across both cloud and on-prem systems, making it well-suited for mid-size financial services organizations. It discovers and classifies sensitive data, applies identity-aware retention policies, and enforces automated archival or deletion when conditions are met. Integrated risk scoring and audit trails help financial institutions demonstrate compliance with PCI, GDPR, and other regulatory requirements across hybrid environments.

Yes. Lightbeam enforces GDPR retention schedules across Microsoft 365 and Google Workspace by applying identity-aware retention policies to discovered and classified data. It identifies personal data, links it to individuals, and automates archival or deletion when retention thresholds are met. All actions are logged with audit trails, helping organizations comply with GDPR’s storage limitation principle while maintaining cross-platform governance.

Yes. Lightbeam logs retention rule approvals, policy changes, and every archival or deletion action with timestamps and identity context. Automated workflows ensure that retention decisions are traceable and auditable, while maintaining clear accountability for data owners and approvers. These audit trails support regulatory reporting and internal compliance reviews without relying on manual documentation.

Yes. Lightbeam applies identity-aware data retention policies that align with HIPAA and local regulatory requirements. It discovers and classifies PHI, links it to individuals, and enforces automated archival or deletion based on configurable retention schedules. Legal holds and approval workflows are logged with full audit trails, helping healthcare organizations demonstrate compliance while safely managing sensitive patient data across systems.

Automation replaces tickets and spreadsheets. Self‑service DSRs complete automatically; dynamic forms adapt per request; advanced filters speed closure. Native consent links preferences to identities, while geo‑aware banners and GTM triggers handle regional rules automatically. All actions are logged for audit, with typical DSR cost reductions and faster SLAs reported by teams.

Yes. Dynamic DSR forms, policy playbooks, and self‑service DPO controls update without code. RoPA, PIA, consent, and cookie workflows generate continuous proof. Case studies show teams meeting Law 25 requirements and achieving GDPR certification on tight timelines—without hiring sprees—thanks to automation and identity‑aware context.

Yes. Lightbeam discovers sensitive data across structured, semi-structured, and unstructured sources. Using AI, NLP, and the Data Identity Graph, it scans databases, cloud apps, SaaS platforms, collaboration tools, and file shares. Unlike regex-only tools, Lightbeam links data to the identities it describes and the users who can access it, delivering complete coverage and accurate risk detection.

Lightbeam Data Identity Graph links sensitive data to real people across all connected sources. When a rights request hits, Lightbeam verifies identity, auto-discovers every related record (even in shadow data), builds a report, and logs each phase for audit. Workflows run inside your environment, so no data is copied out, and responses arrive in minutes, not weeks.

Yes. Continuous scanning captures what data your business processes, why, and who can access it. Lightbeam synthesizes this into a live RoPA dashboard and exportable report that aligns with GDPR Article 30 and similar requirements. Changes, like a new data source or purpose, trigger an update, so compliance teams no longer chase spreadsheets each quarter.

Lightbeam offers a comprehensive consent module that links each user’s preferences to the underlying Data Identity Graph. APIs and ready-made connectors push updated choices downstream to systems like Salesforce Marketing Cloud, ensuring campaigns honor current consent states. Geo-aware banners and preference centers are configurable without code, and every change is timestamped for regulator-proof audit trails.

The platform continuously inventories data sources, detects personal data and logs purpose, legal basis, recipients and retention. These data points auto-populate dynamic RoPA reports you can export or share with auditors anytime, removing manual spreadsheets and errors.

Yes. Lightbeam locates every instance of a requester’s data across connected repositories, bundles it into a secure package and lets you redact or delete with one approval step, cutting response time from weeks to minutes while preserving full auditability.

Yes. Lightbeam locates every instance of a requester’s data across connected repositories, bundles it into a secure package and lets you redact or delete with one approval step, cutting response time from weeks to minutes while preserving full auditability.

No. Lightbeam deploys in your region of choice, SaaS, private cloud or on-prem. It scans through read-only APIs, never installs agents, and keeps metadata within the tenant you select, meeting data residency and Schrems II obligations.

Lightbeam keeps a live map of every spot your customers’ personal data lives, tied to each identity and retention rule. When a data subject request hits, the platform verifies the requester, searches connected systems, gathers matching files, redacts non‑subject data, and packages the response in the required format, no spreadsheets, no ticket chasing.

Yes. The Lightbeam Platform architecture lets you run the full platform on‑premises or in a private cloud, keeping sensitive content behind your firewall. Its AI models process metadata on your infrastructure, generate context‑rich risk scores, and send only anonymized findings to the dashboard. Nothing leaves your environment unless you choose to export a report.

Risk Scoring highlights which files or users present the greatest content‑based exposure, but it does not change permissions on its own. Security teams can pair a score threshold with Lightbeam’s policy engine to trigger access revocation or redaction. This keeps you in control while still enforcing least‑privilege requirements for CCPA audits.

No. Deploy Lightbeam in your own cloud or on-premises datacenter. No data or metadata leaves your environment.

Most customers generate a complete inventory and preliminary gap report within the first 24 hours, then use automated workflows to remediate findings based on risk profile from there.

Yes. Continuous scans, risk scoring, and real-time alerts keep you informed of new data, access changes, and retention violations, so evidence is always fresh.

Unlike point products that only scan files, Lightbeam links every piece of personal data to the identity behind it. The Data Identity Graph powers automated DSRs, retention, and consent management mapped directly to Law 25 articles, closing compliance gaps without extra dashboards.

No. You can deploy Lightbeam fully on premises or in your private cloud. All scanning, classification, and policy actions execute inside your environment, with no data or metadata leaving your premises. This keeps data residency intact while giving you centralized oversight.

Most customers connect Office 365 and file shares in under an hour and generate a live data inventory the same day. AGA built its initial Law 25 inventory within the first hour of onboarding, and Snap Finance saw 40 percent cost savings within weeks.

The platform connects via read‑only APIs, scans structured and unstructured stores, and uses contextual AI to label PHI with > 96% accuracy, while keeping data in place.

Yes. Policies flag excessive or dormant access, trigger approval workflows, and, if you choose, automatically revoke permissions with full audit trails for inspectors.

Risk Scores surface content‑based risk. They do not directly change permissions. Customers use risk scores to trigger an automated playbook that will revoke access when the risk score exceeds a threshold.

Yes. Lightbeam generates audit-ready evidence across GDPR, HIPAA, and PCI by continuously discovering and classifying sensitive data, mapping it to identities, and logging remediation actions. It supports automated RoPA generation, retention enforcement records, access review logs, and risk scoring dashboards. Exportable reports and detailed audit trails help organizations demonstrate compliance during internal reviews and regulatory audits without manual evidence gathering.

Yes. Lightbeam supports Privacy Impact Assessments (PIAs) and Data Protection Impact Assessments (DPIAs) using structured templates and automated workflows. It leverages identity-centric data mapping to populate assessments with accurate processing context. Approvals, comments, and updates are logged with timestamps, creating exportable audit trails that help organizations demonstrate compliance with GDPR and other privacy regulations.

Yes. Lightbeam centralizes privacy requests—including those submitted through email, web forms, or support systems—within a single workflow. It verifies requester identity, automatically discovers related personal data across connected systems, and logs each stage of processing. Built-in audit trails and reporting help organizations track response timelines and demonstrate compliance with GDPR, CCPA, HIPAA, and other privacy regulations.

Yes. Lightbeam continuously discovers and classifies PII and PHI across cloud, SaaS, and on-prem systems, linking each record to the individual it belongs to using its Data Identity Graph. When a DSR is received, Lightbeam can automatically locate related records across environments, reducing manual searches and helping ensure accurate, timely responses aligned with GDPR, HIPAA, and other privacy requirements.

Yes. Lightbeam supports end-to-end DSAR management, including intake, identity verification, automated data discovery, response generation, and audit logging. Its identity-centric Data Identity Graph links personal data to individuals across systems, reducing manual searches. Structured workflows and exportable reports help organizations fulfill DSARs accurately and demonstrate compliance with GDPR, CCPA, and other privacy regulations.

Yes. Lightbeam integrates with Microsoft 365 and Google Workspace to support privacy operations across SharePoint, OneDrive, Teams, Outlook, Google Drive, and Gmail. It discovers and links personal data to identities, enabling automated DSAR fulfillment, consent enforcement, and retention controls across both ecosystems. This unified integration helps organizations manage privacy workflows without exporting data between platforms.

Yes. Lightbeam supports automated Records of Processing Activities (RoPA) by continuously discovering personal data, mapping it to identities, and documenting processing context. It helps organizations understand what data is processed, where it resides, and who can access it—including third-party or vendor exposure paths. Exportable reports and audit trails support GDPR Article 30 documentation and regulatory reviews.

Yes. Lightbeam provides expanded compliance dashboards that continuously monitor control posture across PCI DSS, HIPAA, and other frameworks. Teams can track sensitive data exposure, open access, external sharing, permission drift, and remediation status in real time. Drill-down views and exportable audit-ready reports include timestamps, ownership, review state, and action history—eliminating manual evidence collection during audit season.

Yes. Lightbeam provides consent and preference management that connects web, mobile, and CRM systems within a unified privacy workflow. It links consent records to identities, timestamps updates, and propagates preference changes across connected platforms. This helps organizations enforce opt-ins, opt-outs, and marketing preferences consistently while maintaining audit trails for GDPR, CCPA, and other regulatory requirements.

Yes. Lightbeam automates CCPA and CPRA opt-out requests by linking consumer identities to personal data across connected systems and enforcing updated consent preferences in real time. When a user submits an opt-out request, workflows propagate changes across web, SaaS, and CRM platforms while logging actions with audit trails. This helps organizations demonstrate compliance with California privacy regulations without manual reconciliation.