Leading provider of cybersecurity technology Thales has announced the addition of the CipherTrust Data Security Posture Management (DSPM) to its enterprise data security portfolio.
The SaaS-based platform offers all the capabilities to advance beyond traditional discovery and simple permission management. Security Ops teams can discover, assess, and remediate sensitive data risk through a single interface with native encryption, tokenization, and data masking.
Reducing Data Exposure Bottlenecks in the AI Era.
As enterprise organizations scale generative AI copilots, autonomous software agents, and cloud native workflows, sensitive corporate data is getting scattered across SaaS application, multi-cloud architecture, on-premise data warehouse, and partner analytics pipelines at a rate that outpaces existing data governance policies, causing security teams to be overwhelmed with multi-page unprioritized exposure reports.
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This is how CipherTrust DSPM bridges this function. It unifies sensitive data discovery and classification with context, an in-depth view of the access and entitlement levels users hold, and their current behavioral activity. Unlike traditional data security on where remediation stops at access restriction, the integrated platform enforces policy decisions to (via encrypting/tokenizing/masking), dynamically and automatically, exposed records.
Key operational capabilities and architectural highlights include:
In-Platform Direct Remediation: Enables security teams to apply encryption, masking, or tokenization directly to exposed structured and unstructured assets without leaving the management dashboard.
AI-Powered Behavioral Threat Detection: Analyzes access patterns and activity anomalies, correlating telemetry signals into coherent attack chains to accelerate investigations into insider threats and unauthorized data exfiltration.
Hybrid and Multi-Cloud Visibility: Delivers continuous scanning, classification, and risk scoring across on-premises repositories, public cloud storage, SaaS applications, and hybrid database environments.
Governance for AI Adoption: Establishes pre-deployment data boundary controls, ensuring sensitive intellectual property and regulated data are protected before corporate AI models and copilots ingest them.
“Organizations don’t need another security tool that simply gives them a longer list of problems to investigate,” Todd Moore, Vice President of Data Security Products at Thales, said. “They need to understand which sensitive data is truly at risk and take direct action to reduce it. While traditional DSPM remediation often focuses on restricting who can access data, CipherTrust DSPM goes further by connecting risks to protections such as encryption and tokenization, helping protect the data itself, rather than relying on permissions alone.”
“Tokyo Electron Device works with enterprises to address increasingly complex cybersecurity challenges as these organizations connect AI tools and agents to more of their business data. CipherTrust DSPM’s ease of deployment and the accuracy of its data classification enables us to help customers quickly gain understanding of where their sensitive data is, who or what can access it, how to protect it, and without slowing AI adoption. These capabilities provide significant value to customers looking to embrace AI while, maintaining control of their most sensitive information,” Hiroji Sugito, Principal Data Security Engineer at Tokyo Electron Device, said.
Building on Three Decades of Data Security Heritage
CipherTrust DSPM draws on more than 30 years of Thales expertise in cryptographic key management, data discovery, access control, and activity logging. By combining posture analytics with active data protection into a single SaaS delivery model, Thales equips global enterprises with the infrastructure needed to maintain compliance, mitigate third-party risk, and accelerate safe AI adoption.