Sensitive Data Discovery
Identify and classify sensitive information across supported cloud, SaaS, endpoint, database and on-premises environments to reduce blind spots and understand where data resides.
Data Security & Privacy
Protect Your Data. Operationalise Privacy. Build Trust.
Discover where sensitive data lives, understand how it moves, reduce exposure and turn privacy obligations into repeatable business processes.
Meteonic helps enterprises evaluate data security and privacy solutions for cloud, SaaS, endpoints and customer data workflows—including data risk detection, data loss prevention, consent governance and privacy compliance.
From visibility to governance
Data security and privacy, connected
Enterprise data is distributed across applications, cloud platforms, endpoints, databases and AI-enabled workflows. A modern programme needs more than a static inventory or a privacy policy: teams need visibility, contextual risk signals, enforceable controls and evidence that processes are working.
Meteonic helps organisations assess and select technologies that complement their security architecture, privacy operations and compliance priorities.
Core capabilities
What data security and privacy solutions help you achieve
Build a practical programme around data visibility, risk reduction and accountable privacy operations.
Data Security Posture Management
Prioritise exposure based on data sensitivity, access, context and risk so security teams can focus remediation on the issues that matter most.
Data Loss Prevention
Improve oversight of risky data movement and strengthen controls designed to reduce accidental disclosure, misuse and unauthorised exfiltration.
Privacy & Consent Management
Coordinate consent lifecycles, data principal rights requests, cookie preferences and privacy workflows with clearer ownership and traceability.
DPDP Compliance Enablement
Support the operationalisation of privacy requirements through structured workflows, risk assessments, third-party oversight, records and audit evidence.
AI & Insider Data Risk
Improve awareness of how people, services and AI tools interact with sensitive information and identify risky patterns that warrant investigation.
Featured solutions
Data security and privacy platforms from Meteonic
Explore technologies for protecting data in motion and at rest, alongside tools for governing personal data and privacy obligations.
Data security & response
Matters.AI
Matters.AI focuses on AI-native data security, data security intelligence and data detection and response. Its platform is designed to help teams understand sensitive data across environments, add context to user and system activity, and detect or respond to risky data movement.
- Data discovery, classification and lineage context
- Data security posture and insider-risk visibility
- Detection and response for suspicious data movement
- Protection for cloud, SaaS, endpoints and AI workflows, subject to supported integrations
Privacy governance & DPDP
Privy by IDfy
Privy by IDfy helps enterprises operationalise data privacy through connected consent, compliance, risk and personal-data governance workflows, with a focus on India’s Digital Personal Data Protection framework.
- Consent lifecycle and cookie consent management
- Data principal rights request workflows
- Personal data discovery and governance
- Privacy impact assessment, third-party risk and audit evidence capabilities
One strategy, complementary capabilities. Data security technology helps identify and reduce risks to sensitive information; privacy management helps teams organise consent, rights, assessments and compliance evidence. The right combination depends on your data landscape, regulatory obligations and existing controls.
How Meteonic helps
A practical path from requirements to deployment
01. Assess your environment
Map key data sources, workflows, privacy obligations, existing controls and operational gaps.
02. Align technology to risk
Evaluate capabilities, integrations and use cases against your architecture, teams and business priorities.
03. Plan implementation
Define a deployment approach, ownership model, integration requirements and success criteria with the relevant stakeholders.
04. Improve continuously
Review visibility, policy coverage, workflow effectiveness and evidence readiness as your environment evolves.
Designed for enterprise use cases
- Financial services, fintech and insurance
- Healthcare and life sciences
- Retail, ecommerce and digital services
- Technology, SaaS and IT services
- Manufacturing and distributed enterprises
Use cases may include personal data governance, sensitive data discovery, AI data risk, third-party privacy risk and stronger oversight of data movement. Actual coverage depends on selected products and configuration.
Frequently asked questions
Data security & privacy FAQs
Clear answers to common enterprise questions about data protection and privacy technology.
Data security focuses on protecting information from unauthorised access, loss, misuse or exposure. Data privacy focuses on how personal data is collected, used, shared, retained and governed. Organisations need both technical safeguards and clear privacy processes.
DSPM helps organisations discover sensitive data, understand its location and exposure, assess risks such as excessive access or misconfiguration, and prioritise remediation across supported environments.
Organisations can translate applicable obligations into accountable processes for consent, data principal rights, personal data handling, risk assessment, incident response, third-party oversight and evidence management. Legal and privacy teams should validate applicability and interpretation for their circumstances.
Matters.AI centres on data security intelligence and data detection and response, while Privy by IDfy centres on privacy governance, consent, personal data rights and compliance workflows. Their capabilities address related but different needs; suitability depends on requirements and product configuration.
Many platforms provide integrations with selected cloud, SaaS, identity, security and business systems. Confirm supported connectors, permissions, data residency, deployment model and integration requirements during solution evaluation.
Start with the data you hold, where it resides, how it moves, the risks you need to address and the privacy workflows you must operate. Then assess coverage, integrations, deployment requirements, reporting, operational ownership and total cost against those priorities.
Take the next step
Build a clearer view of your data risk and privacy posture
Talk to Meteonic about data security, privacy governance and the capabilities that fit your enterprise environment.
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