AI tools for detecting vulnerabilities, protecting endpoints, scanning code for security issues, and preventing fraud in enterprise environments.
13
Use Cases
7
Tools
10
Companies
Security Tools
Endpoint security and management platform by Absolute Security for protecting devices from threats.
Generative AI threat modeling tool by C3 AI for parametric simulation in defense and security applications.
Static analysis tool for detecting security vulnerabilities in code through semantic queries, used in CI/CD.
AI-powered security feature that automatically clusters and prioritizes related alerts into actionable attack narratives.
SIEM and security analytics platform for threat detection, investigation, and response at scale.
Security scanning tool by GitHub for detecting code vulnerabilities and exposed secrets across the SDLC.
Product authentication platform by KURZ DIGITAL using digital watermarks to protect brands from counterfeiting.
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Use Cases (13)
California’s Employment Development Department, which administers unemployment, disability, and paid family leave programs for millions of residents, deployed Elastic Security on AWS to unify cybersecurity monitoring across 3,000 servers and 850 billion records. AI-driven threat detection reduced mean time to response by 99% while enabling a 60-person security team to manage over 80,000 alerts per month.
Bolt, Europe’s largest mobility super-app serving 150 million customers across 260 cities, deployed Elastic Security on Elastic Cloud with AWS to consolidate its SIEM and protect its rapidly expanding platform. The move cut weekly infrastructure maintenance from 14 hours to 3 hours — a 75% reduction — and eliminated logging availability concerns across the organization.
Bank Leumi, Israel’s leading bank with more than 7,000 employees and $195 billion in assets, replaced its aging SIEM with Elastic Security to gain unified visibility across a cloud-and-on-premises infrastructure generating vast volumes of semi-structured data. By deploying Elastic Security alongside Kibana dashboards and MITRE ATT&CK-aligned detection rules, the bank cut log detection and analysis time by 60%, reduced security incident resolution time by 50%, and lowered total cost of ownership by 40%.
UOL Group is Brazil’s largest digital media, technology, and payments platform, serving eight out of ten Brazilian internet users monthly across more than 200 applications and thousands of cloud and on-premises resources. After migrating from Splunk to Elastic Security and deploying Elastic AI Assistant and Attack Discovery with Amazon Bedrock integration, UOL reduced security incident resolution time by 80% — from days to minutes — and cut false positive alert volume in half.
THG (formerly The Hut Group) is a UK-based ecommerce retail company with revenues exceeding £2 billion, selling its own-brand and third-party cosmetics, dietary supplements, and luxury goods online while also providing ecommerce infrastructure to third parties through its Ingenuity division. Facing a rapidly expanding threat surface as it grew through acquisitions and added SaaS platforms, THG deployed Elastic Security as its unified SIEM, using machine learning capabilities to surface novel attack vectors and automation to eliminate manual triage overhead. The outcome: mean time to respond to security events dropped by 60%, first-line triage burden fell from 90% to 50% of analyst time, and physical storage costs declined by 60% through intelligent data tiering.
The Texas A&M University System is one of the largest higher education systems in the United States, encompassing 11 universities, 8 state agencies, and a statewide emergency management network that collectively educates over 153,000 students while defending against state-sponsored hackers and cybercriminals. Faced with a massive threat surface spanning 25,000 endpoints, the system’s cybersecurity team deployed Elastic Security for Endpoint, using its machine learning capabilities and automation layer to unify data from hundreds of sources into a single interface. The result: incident resolution time dropped from months to two hours—a 99% reduction—while automated documentation saved over 100 analyst hours per month.
General Motors consolidated 19,000+ developers and 150,000 repositories from 40+ fragmented tools onto GitHub Enterprise Cloud, reducing a critical build from 4–6 hours to 27 minutes. By adopting GitHub Advanced Security with Copilot Autofix and deploying GitHub Copilot to 8,000+ developers, GM remediated 100% of leaked secrets and modernized legacy COBOL and Fortran systems.
Cathay, the Hong Kong-based premium travel brand that operates Cathay Pacific airline across 100 destinations with 30,000+ employees, unified its development and security toolchain on GitHub Enterprise, deployed GitHub Copilot to 1,000+ developers, and embedded security scanning into daily workflows through GitHub Advanced Security. The result was a 63% reduction in mean time to remediate security vulnerabilities and a 40% year-over-year improvement in tech debt fixes.
The U.S. Missile Defense Agency partnered with C3 AI to deploy a generative AI platform for missile threat modeling and simulation. The solution delivers a 1000x increase in available threat data and reduces data generation time from weeks to minutes. This capability enables MDA to stress-test missile defense systems at unprecedented scale in secure, classified environments.
Lenovo's Solutions and Services Group deployed ServiceNow Technology Provider Service Management and generative AI to unify its global Device-as-a-Service operations across 400+ enterprise customers. The platform streamlined onboarding, integrated third-party tools, and enabled self-service portals — delivering measurable gains in customer satisfaction and retention within a single year.
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