Managing access for thousands was a manual drain. AI now predicts usage patterns to automatically lock down dormant data.
A cybersecurity startup established in 2024 helps enterprises control data access and meet regulatory standards like GDPR across scaling infrastructure.
Managing permissions for thousands of employees was a manual drain on resources, while static defenses failed to distinguish between active and...
“By building on Elastic's robust architecture, Ray Security is uniquely positioned to help enterprises protect data in the years to come. As our clients scale their AI adoption and data volumes grow, Elastic helps provide the visibility and governance needed to defend our clients against the worst that attackers can throw at it.”
Ray Security's Data access security is part of this use case:
Predictive data security platform for automated risk reduction and access control.
Search AI platform for enterprise search, observability, and security solutions.
Related implementations across industries and use cases
Building a policy assistant in-house meant a six-month wait. With watsonx, they launched a secure Slack bot in just one month.
Infrastructure upkeep drained engineering time. Parallel AI agents now run security audits in 80 seconds, down from 5 minutes.
Retrieving specific files meant weeks of full server restoration. AI now queries archives to fetch records in seconds.
Infrastructure upkeep drained engineering time. Parallel AI agents now run security audits in 80 seconds, down from 5 minutes.
Tools blindly flagged placeholders as critical leaks. AI now discerns context to separate harmless code from real threats.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Managing access for thousands was a manual drain. AI now predicts usage patterns to automatically lock down dormant data.
A cybersecurity startup established in 2024 helps enterprises control data access and meet regulatory standards like GDPR across scaling infrastructure.
Managing permissions for thousands of employees was a manual drain on resources, while static defenses failed to distinguish between active and...
“By building on Elastic's robust architecture, Ray Security is uniquely positioned to help enterprises protect data in the years to come. As our clients scale their AI adoption and data volumes grow, Elastic helps provide the visibility and governance needed to defend our clients against the worst that attackers can throw at it.”
Ray Security's Data access security is part of this use case:
Predictive data security platform for automated risk reduction and access control.
Search AI platform for enterprise search, observability, and security solutions.
Related implementations across industries and use cases
Building a policy assistant in-house meant a six-month wait. With watsonx, they launched a secure Slack bot in just one month.
Infrastructure upkeep drained engineering time. Parallel AI agents now run security audits in 80 seconds, down from 5 minutes.
Retrieving specific files meant weeks of full server restoration. AI now queries archives to fetch records in seconds.
Infrastructure upkeep drained engineering time. Parallel AI agents now run security audits in 80 seconds, down from 5 minutes.
Tools blindly flagged placeholders as critical leaks. AI now discerns context to separate harmless code from real threats.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.