Legacy data leak prevention (DLP) solutions are failing. Simply put, they weren’t built for business environments rooted in SaaS apps and generative AI (GenAI) tools. Meanwhile, security threats are evolving at a breakneck pace, with as many as 95% of enterprises experiencing multiple breaches a year. New attack surfaces are unfurling at a rapid rate following the switch to hybrid and cloud-based workspaces. In response to these mounting threats, security teams need a solution that can grow and evolve with them. At first, low-fidelity machine learning (ML) models fit the bill, offering quicker time to remediation, and lower overall incident costs (an average $1.8 million saved per breach, for those who are wondering). But that was yesterday.
Legacy solutions, which use regexes and rules, are notoriously noisy and difficult to manage. At the enterprise level, where vast quantities of data are exchanged every minute of every day, inaccurate solutions can block business-critical workflows and slow remediation down to a crawl—putting the entire enterprise’s security at risk in the process. This problem is precisely why Nightfall chose to take a new approach to enterprise DLP with GenAI.
Today, Nightfall AI introduced its most significant offering to date, expanding its powerful platform to address the evolving challenges that enterprises face on a daily basis. Let’s dig into it.
Why use GenAI for DLP?
GenAI models are trained on hundreds of millions of parameters, and can use that extensive training to better understand the context surrounding sensitive data. This enhanced understanding translates to:
- Higher precision: GenAI approaches can be up to 80% more precise than regex or rule-based approaches. This means that when security teams get alerts, it’s significantly more likely for those alerts to be true positives.
- Fewer false positive alerts: Increased precision leads to fewer false positive alerts. This not only lightens security team workloads, but also frees them up to respond quickly to high-priority alerts.
- Greater time savings: With fewer false positive alerts, security teams have the option to automate monitoring and remediation—without needing to worry about blocking business workflows.
With less noise, faster time to remediation, and opportunities for automation, GenAI is the most cost-effective DLP solution for stronger defenses as well as continuous compliance with leading standards like HIPAA, PCI-DSS, SOC 2, ISO 27001, and more.
How does Nightfall solve enterprise DLP challenges?
Nightfall has already used GenAI to transform cloud DLP—but we’re not stopping there. We’re excited to announce that we’ve expanded our coverage to defend against more attack surfaces, including email and endpoints. The result? A single convenient platform that covers any and all enterprise DLP needs. Here’s a sneak peek at each of the products that we’ll be announcing this week:
- Data Exfiltration Prevention: Detect and block unauthorized data transfers from SaaS apps and endpoint devices.
- Data Encryption: Send and receive secure emails with automatic encryption.
- Sensitive Data Protection: Prevent privilege escalation attacks by remediating data sprawl across SaaS apps, GenAI tools, and cloud-based email services.
- SaaS Security Posture Management (SSPM): Discover and map sensitive data to manage how it’s shared across SaaS apps like Google Drive, OneDrive, Slack, Teams, Jira, GitHub, and more.
- Firewall for AI: Build Nightfall’s AI-powered DLP into any SaaS or GenAI app.
Whether you’re looking to defend your data or stay compliant with leading standards, Nightfall’s GenAI-powered solution is the first step towards more efficient and scalable enterprise DLP. Nightfall leverages this advanced technology with one central goal in mind: To help CISOs sleep soundly at night, knowing that their data is secure both across the cloud and beyond.
Curious to try Nightfall’s AI-native solutions for yourself? Get in touch today to see how Nightfall can help you to secure your enterprise.