Next-Gen Data Loss Prevention (DLP)
Go beyond traditional DLP. Predict Which data will be used and stop unauthorized usage before it happens.
Predictive DLP in Action
Go beyond traditional DLP. Predict Which data will be used and stop unauthorized usage before it happens.
Traditional DLP solutions react after data is already at risk. Ray Security’s predictive data security platform enables to:
Our predictive engine identifies which data will be accessed, enabling proactive protection strategies that prevent unauthorized access before it occurs.
Track and monitor data as it moves across cloud, on-premises, and hybrid environments with comprehensive lineage and access justification for every interaction.
Automatically verify access justification, maintain privacy controls, and prevent unauthorized, uncontrolled, and unaudited data use across all environments.
Control the data accessed by LLMs like Copilot, ChatGPT Enterprise and Glean. Manage agentic AI access and prevent AI from revealing sensitive information. Maintain data lineage across all AI interactions.
Prioritize and reduce blast radius: cut data exposure by 90% with predictive protection. Focus on critical data for faster, broader, and more precise security (secure-by-default), even for partially unclassified data.
Comply with regulation and ensure least privilege access to data. Map who can access data versus who actually does. Remove unused or excessive rights to improve security. Enforce Just Enough Access (JEA).
Even in an area of cybersecurity as essential as data protection, the stakes continue to climb higher in 2025. The pressures have mounted both from the intensification of data theft and extortion attacks as well as from the surging adoption of GenAI-powered tools and LLMs, which have drastically heightened the risk of sensitive data being improperly accessed.
Less Is More: The Power of Just Enough Access (JEA) When Sarah moved from the finance team to marketing three years ago, no one thought to revoke her access to the company’s financial database. She was a trusted employee and it didn’t feel urgent. Last month, Sarah’s credentials were compromised in a phishing attack. […]
Evolving technology and advanced attackers have created new data security concerns for enterprises. There’s more data available than ever, particularly thanks to artificial intelligence (AI) and more interconnected devices. And attackers have noticed.
