Nightfall AI vs. Code42

What’s the role of DLP in the modern enterprise?

In today’s digital landscape, protecting sensitive data is more crucial than ever. The financial impact of data breaches is substantial, with the average cost reaching $4.88 million, according to IBM’s most recent "Cost of a Data Breach Report.” Moreover, the number of organizations who experience data breaches involving the exfiltration of data is increasing every year. With 82% of organizations citing data loss or leakage as a top concern in cloud services, as noted in the "2023 Cloud Security Report" by Cybersecurity Insiders, it’s clear that robust Data Loss Prevention (DLP) solutions are essential. 

Solutions like Nightfall and Code42 provide advanced detection, prevention, and response capabilities, helping organizations safeguard their valuable information and maintain their operational stability amidst growing digital threats. Read on to learn how these two solutions compare in terms of coverage, detection, cost of ownership, and more.

How does Nightfall compare to Code42?

Coverage

Nightfall AI

• Offers extensive coverage, including data exfiltration prevention, data detection and response, data security posture management, data discovery and classification, data encryption, and specialized firewalls for AI copilots and developers.
• Supports a broad range of integrations with platforms like Slack, Google Workspace, Microsoft 365, Salesforce, Jira, Confluence, Github, Asana, Zendesk, ChatGPT, and custom public and internal apps.

Code42

• Limited to data exfiltration prevention, and detection and response. Lacks advanced features like data security posture management, data discovery and classification, and firewalls for AI.
• Fewer integrations, and is missing integrations for key platforms such as Jira, Confluence, Github, Asana, Zendesk, and ChatGPT. Code42 also doesn't support custom apps.

Nightfall's broad coverage ensures a comprehensive approach to data security, while Code42's limited scope may leave critical gaps.

Detection

Nightfall AI

• Monitors SaaS and GenAI apps, as well as email and endpoint environments.
• Utilizes AI for sensitive data detection (PII, PCI, PHI, secrets, and IP) and document type detection (e.g. health records, credit card photos, driver’s licenses, etc.).
• Has high accuracy with fewer false positives and negatives.

Code42

• Limited scope of monitoring.
• Basic sensitive data detection without advanced AI capabilities.
• May struggle with higher false positives and negatives.

Nightfall's advanced AI-first detection capabilities and higher accuracy make it more effective at identifying and protecting sensitive data.

Remediation

Nightfall AI

• Comprehensive alerts and training for users.
• Automated exfiltration actions (e.g. blocking and suspending users), sensitive data exposure remediation (e.g. redacting and quarantining), SaaS posture corrections (e.g. removing users and restricting access), user self-remediation, and automatic resolution.

Code42

• Limited to basic alerts and training.
• Limited automated actions and lacks several advanced remediation features, such as automatic resolution upon user remediation.

Nightfall provides a more robust suite of remediation options, ensuring faster and more effective responses to security incidents.

Security workflows

Nightfall AI

• Seamless integrations with SIEM/SOAR systems.
• APIs for violation and policy management, automated user feedback flow, false positive annotation, and automatic resolution of user-actioned violations.

Code42

• Provides basic integration with SIEM/SOAR.
• Limited automation and lacks features for automatic resolution of user-actioned violations.

Nightfall’s efficient workflows and automation capabilities streamline security processes, reducing administrative overhead.

Ease of use

Nightfall AI

• Quick and straightforward setup process.
• Modern, intuitive UI with a streamlined monitoring experience.
• Simple policy setup and monitoring.

Code42

• More complex setup requires browser plug-ins and endpoint deployment.
• Legacy UI and user experience.
• More complex rule configuration and higher ongoing maintenance costs.

Nightfall’s user-friendly design and ease of use make it more accessible for users of all technical backgrounds, saving time and effort.

TL;DR

Nightfall excels with:

• Comprehensive security features, including data exfiltration prevention, detection, response, encryption, and AI-specific firewalls, with support for a broad range of SaaS integrations.
• Advanced AI for accurate sensitive data and document type detection, minimizing false positives and negatives.
• Robust remediation capabilities, including user alerts, automated actions, and SaaS posture corrections, along with efficient workflows, seamless SIEM/SOAR integration, and user-friendly setup and management.

Code42 stands out by:

• Protecting against data loss and exfiltration by monitoring and securing file movements, with a focus on endpoint data and cloud storage.
• Capabilities for incident response and data recovery, allowing organizations to quickly recover lost or compromised data.
• Integrations with a broad set of existing IT environments, including endpoints.

Nightfall's comprehensive coverage, advanced detection capabilities, robust remediation options, efficient security workflows, and user-friendly experience make it an outstanding choice for organizations seeking to enhance their data protection strategies. In comparison, Code42, while competent in certain areas, lacks the breadth and depth of features that Nightfall offers, making Nightfall the superior solution for robust and efficient data security.