The AI-native DLP platform used by the most innovative companies

Nightfall is reliable. When it says there’s a detection, we trust that detection. For people in my field, that’s a big factor. You don’t want to waste time chasing ghosts.

Nightfall gives us the confidence to embrace AI innovation while maintaining our security policies and practices. What previously required days of manual review now happens automatically, allowing our Security team to focus on strategic initiatives instead of constant monitoring.

Nightfall’s Slack integration is critical. Being able to action on alerts—redact, block, resolve—directly within Slack without logging into another portal saves us significant time. We see alerts and deal with them immediately, keeping our team highly efficient.

It was important for us to stop PII, PCI, and secret sprawl. We wanted to have a tool that could watch our back.

The switch to SaaS apps leaves a very large hole that not a lot of solutions can fill… But I can say from my experience that Nightfall AI has brought us a solution at every corner.

We’re able to get ahead of very expensive data exposure incidents that could violate HIPAA requirements, which can run easily to thousands of dollars per member record affected.

The ability to alert, contain, and eradicate issues within Slack is my favorite feature. With any alerts that we get from Nightfall, we actually don’t have to leave Slack. We get everything in Slack, and we can close the incident or issue from within Slack. We don’t have to hop into different tools to look at one issue. Everything is in there.

Nightfall protects us from outside threats and inside vulnerabilities. It has been fantastic in helping us identify programmatic and procedural issues on our teams so that we can remediate them, rather than simply mitigate them.

Nightfall’s ease of setup and accuracy of identified data are both on point. Nightfall has eased our collective mind.

With Nightfall, we’re more confident that our secrets are being handled correctly. We’re able to seamlessly align Nightfall’s security capabilities to our best practices.

Nightfall was able to quickly provide us with the security we needed to ensure compliance and reduce sensitive data exposure risk. This has enabled us to build out our data security compliance program to meet standards like PCI, CCPA, and SOC 2.

Nightfall has dramatically dropped the time that we spend developing and executing our security fundamentals, so we can think about higher-order problems. It keeps us focused on what we really want to work on. We have a safety net to aggressively pursue whatever our customers need in real-time.

Nightfall helps ensure that we keep the proliferation of tokens and secrets to an absolute minimum, exactly for this reason. In this day and age, you simply shouldn’t assume that private cloud environments are inherently safe from snooping or exfiltration.

Nightfall's Firewall for AI allows us to scan for certain patterns of information, like social security numbers or credit cards. We can ensure that our internal communication stays as work-appropriate as possible.

Nightfall has saved us hundreds of hours annually in managing false positives that were a huge source of pain with our previous DLP provider.

By preventing sensitive data from reaching our code repositories, we reduce the chances of data exposure. For us, DLP is the ability to reduce risk for the company and allows us to build customer trust.

Nightfall helped us to better understand if secrets were being inappropriately shared or stored. Once we got that visibility, we were able to work with teams to improve their secrets-sharing processes.

When we started getting involved in a number of M&As we started opening things up and letting data in and out externally. This process really highlighted for us the need for a tool that could both manage risk and provide greater visibility of what was in our environments.

Nightfall has consistent detectors so I can create rule sets that work across all my integrations. I don’t have to wonder how Jira or Google Drive handles their DLP algorithm. I know how Nightfall’s classification and detection algorithms work. I have a lot more clarity when managing my DLP with Nightfall.

We use Nightfall as a preparation for our compliance qualifications. Before Nightfall, we used the built-in tools within these platforms for data security, like Google’s quarantine alerts. We found that they were too trigger happy and couldn’t fulfill our compliance needs.

It’s given our HR team and our internal communications team peace of mind that we’re creating a space where our people are safe and secure in the information that they share.

Working with Nightfall gives our customers confidence that we take data protection very seriously.

With Nightfall, our collaboration tools are under one umbrella. It allows us to see everything in a single pane and without having to configure rules in different places.

We saw that Nightfall had a low false positive rate, and high levels of customization and configurability.