Data fuels growth, but unmanaged risks such as privacy gaps, insider misuse, and regulatory exposure can undermine trust and stall innovation. Sensitive information is fragmented across multi-cloud, SaaS, and on-premises estates, making it difficult to discover, classify, and govern effectively.
At Intuitive, we deliver end-to-end data security by embedding discovery, classification, encryption, and policy enforcement into every stage of the data lifecycle. With AI-driven visibility, automated controls, and continuous monitoring, organizations can ensure sensitive data is always protected, regulatory evidence is generated in real time, and business-critical insights flow securely across cloud, SaaS, and hybrid environments.
Automated DSPM-driven identification of PII, PHI, PCI, IP, and both structured and unstructured data across cloud, SaaS, and on-premises environments. This visibility helps organizations understand where data resides, who accesses it, and how it flows.
Enforce strong encryption, tokenization, masking, and format-preserving encryption at rest, in transit, and in use including confidential compute enclaves. These layered protections minimize breach impact, prevent misuse, and ensure that regulated data remains protected even in complex hybrid environments.
AI-driven monitoring for insider misuse, ransomware behaviors, data exfiltration attempts, and policy drift at the data layer. With lineage analytics, organizations gain continuous visibility for compliance, audit readiness, and risk management, without slowing down innovation.
Design and operate hybrid cloud and software-defined datacenters with secure, scalable networking. Standardize compute, storage, and connectivity with automated guardrails to ensure high availability, seamless workload mobility, and consistent governance across on-prem and cloud.