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Lightbeam DSPM
What Lightbeam DSPM is
Lightbeam DSPM is a paid data security platform for finding sensitive information and reducing exposure across cloud, SaaS, and on-premises environments. It discovers structured, unstructured, and semi-structured data, then uses AI to classify it in business context. A Data Identity Graph links sensitive data with associated people or entities, access, purpose, and risk. Risk scores can be tuned by attributes, volume, location, and access levels. Policy playbooks can revoke excessive access, redact personal information, or archive stale files, with actions logged for audit. Its AI security tools inspect prompts, responses, and attached files and can block, educate, redact, quarantine, minimize, or allow interactions. Lightbeam connects through APIs without agents and supports SaaS, customer-cloud, and on-premises deployment. Listed connectors include AWS, Amazon RDS, DynamoDB, Cassandra, Azure Blob, and ADP. Pricing is on request; an industry page advertises a two-week trial with two data sources.
Who it suits
It suits enterprise security, privacy, and governance teams managing sensitive data and AI exposure. Organizations needing cloud, SaaS, and on-premises coverage can consider its deployment choices.
What it does well
- Discovers and classifies sensitive data with AI
- Maps data to identity, access, purpose, and risk
- Provides policy-based remediation workflows
- Monitors AI prompts, responses, and files
- Supports agentless API connections
What to know first
- No free plan
- Pricing is available only on request
- Two-week trial specifies two data sources
- Some deployment options require customer infrastructure
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Custom plan | Contact Lightbeam for pricing · Enterprise deployment; no public price listed | On request |
As lightbeam.ai lists them, read 9 Oct 2026. The maker's own page has the final word.
Verdict
Lightbeam combines DSPM discovery, identity context, remediation, and AI guardrails across several environments. Prospective customers must request pricing and evaluate deployment requirements.
Facts from Lightbeam DSPM's own pages
- Agentless scanning
- The DSPM page says Lightbeam connects through APIs and scans without requiring agents. · lightbeam.ai, 9 Oct 2026
- AI guardrails
- Lightbeam says it can monitor AI prompts and files and block, alert on, remediate, quarantine, or minimize risky AI data exposure. · lightbeam.ai, 9 Oct 2026
- AI security
- The AI security offering inspects prompts, responses, and attached files and can block, educate, redact, or allow interactions with audit logging. · lightbeam.ai, 9 Oct 2026
- Compliance evidence
- Lightbeam says its access reviews can export evidence for SOC 2 and ISO 27001, and its automated remediation logs actions immutably. · lightbeam.ai, 9 Oct 2026
- Data handling
- The maker says deployments in a customer's own cloud or on-premises can operate without external access to the data, and model training for the Data Identity Graph stays local to that deployment. · lightbeam.ai, 9 Oct 2026
- Data Identity Graph
- The Data Identity Graph maps sensitive data to the person or entity it belongs to and connects it with access, purpose, and risk. · lightbeam.ai, 9 Oct 2026
- Deployment
- Lightbeam says it can be deployed on-premises or inside a customer's VPC in public clouds including AWS, Azure, GCP, and Oracle. · lightbeam.ai, 9 Oct 2026
- Discovery and classification
- Lightbeam says it discovers structured, unstructured, and semi-structured data and uses AI to classify it in business context. · lightbeam.ai, 9 Oct 2026
- DSPM
- Its DSPM offering finds sensitive data and helps reduce exposure across cloud, SaaS, and on-premises environments. · lightbeam.ai, 9 Oct 2026
- Headquarters
- San Jose, California, United States · lightbeam.ai, 28 Sept 2026
- Identity context
- Its Data Identity Graph links sensitive data with the people associated with it and the users or systems that can access it. · lightbeam.ai, 9 Oct 2026
- Integrations
- The maker lists connectors including ADP, Amazon DynamoDB, Amazon RDS, Apache Cassandra, AWS, AWS S3, and Azure Blob. · lightbeam.ai, 9 Oct 2026
- Intended users
- Lightbeam describes its platform as serving enterprise security, privacy, and governance teams. · lightbeam.ai, 9 Oct 2026
- Performance controls
- For on-premises assets, Lightbeam says connectors run in separate containers with configurable rate limits and schedules to reduce system impact. · lightbeam.ai, 9 Oct 2026
- Product
- Lightbeam describes itself as an AI Data Security platform that helps organizations control what sensitive data AI can reach, use, and expose. · lightbeam.ai, 9 Oct 2026
- Purpose
- Lightbeam discovers sensitive data, maps it to identity and risk, and helps organizations reduce exposure across cloud, SaaS, and on-prem environments. · lightbeam.ai, 9 Oct 2026
- Regulatory use cases
- The site presents Lightbeam as helping with GDPR, CCPA, PCI-DSS, HIPAA, and Québec Law 25 workflows. · lightbeam.ai, 9 Oct 2026
- Remediation
- Policy playbooks can revoke excessive access, redact personal information, or archive stale files, with actions logged for audit. · lightbeam.ai, 9 Oct 2026
- Risk scoring
- Risk scores can be tuned using sensitive attributes, volume, location, and access levels. · lightbeam.ai, 9 Oct 2026
- Support
- The contact page says its team can help with demos, partnerships, and customer support, and lists office hours Monday through Friday, 8 a.m. to 5 p.m. PST. · lightbeam.ai, 9 Oct 2026
- Trial
- A Lightbeam industry page advertises a two-week trial with two data sources. · lightbeam.ai, 9 Oct 2026