For a platform handling customer data from hundreds of financial institutions, ensuring that data is secured is non-negotiable. The harder part is keeping controls in place as the product evolves. New features, new products, and new data stores are added constantly at Alloy. Each one is a potential gap in visibility. Each one requires Lee's security team to verify that the existing controls still apply.
"As we built new features and new products, added new data stores, making sure that our controls were working was and is always a challenge," Lee said.
The traditional answer to this problem is manual. Wonder where the data is. Verify it's protected. Repeat with every release. That doesn't scale at fintech speed.
Alloy deployed Teleskope as the discovery and response layer for its data security program. The platform was deployed self-hosted, which gave the Alloy team the ability to apply their specific security controls and operational requirements. The Teleskope engineering team worked with Alloy through the rollout.
"The deployment experience was actually very seamless," Lee said. "We have very specific controls and requirements for a self-hosting solution like Teleskope, and the engineers at Teleskope were very helpful in rolling that out and ensuring we could apply our controls. They worked with us throughout the process."
Once in place, Teleskope's discovery engine catalogs every sensitive data element across Alloy's environment. When the platform identifies a sensitive element, Alloy's rules determine the response. Redact. Quarantine. Or trigger an alert for the security team to take a look. The security team doesn't manually execute any of those actions.
"My team doesn't have to manually go and quarantine something or manually go and redact something," Lee said. "All of that has given me confidence that controls are working."
With Teleskope in place, Alloy's security team has stopped guessing where sensitive data lives. They know.
"Since we've started using Teleskope, my security teams spend less time wondering about where data might be because we know exactly where it is, what types of data elements are where," Lee said. "That gives me a lot of confidence and comfort that I just didn't have before."