Financial Services
Purpose-built for the pressures of financial services, Tines connects your tools and teams to reduce operational risk with intelligent workflows.
Financial services organizations operate in one of the most highly regulated and targeted industries. From managing cybersecurity threats and fraud attempts to meeting stringent compliance standards and integrating with legacy systems, security and IT teams are under constant pressure to protect customer data and surpass customer expectations while staying operationally efficient.
Automate threat intelligence and incident response
Reduce risk and minimize human error by automating threat detection, investigation, and response.
Streamline your GRC processes
Streamline compliance workflows with audit-ready documentation and real-time breach notifications.
Connect to all existing tools
Seamlessly connect and orchestrate all your existing tools through any API, even legacy infrastructure.
Accelerate incident response and reduce alert fatigue
Reduce alert fatigue and manual workload through intelligent workflows that accelerate incident resolution while maintaining enterprise-grade security and regulatory alignment.
In our first 7 months of using Tines, it has already saved hundreds of hours of work for our SME’s, helped ensure continuing compliance with regulatory requirements, and allowed us to respond to cyber threats quicker.
Information Security Manager
Fortune 500 Insurance Company
Explore the Tines storyboard. Just drag an HTTP request action into place to see how simple automation can be.
See how Tines helps FSIs secure sensitive data and accelerate service delivery.
Handling alerts manually was overwhelming Bitpanda’s security team… until Tines stepped in. With orchestration and automation, Bitpanda dramatically reduced alert noise, optimized IAM workflows, and strengthened its security posture.
With Tines, we’re capable of building more complex detection rules, based on our organization’s needs.
Martin Schlatzer
Corporate IT Security Lead, Bitpanda
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