Cycode vs Nightfall AI Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Apr 2026 8 min read

Cycode

0.0 (0 reviews)

Cycode is a complete application security operations platform that secures your entire software supply chain by integrating tools like SAST, SCA, and secrets detection into a single unified dashboard.

Starting at Free
Free Trial 14 days
VS

Nightfall AI

0.0 (0 reviews)

Nightfall AI is a cloud-native data leak prevention platform that uses machine learning to detect and protect sensitive information across your SaaS applications, GenAI tools, and cloud infrastructure.

Starting at --
Free Trial NO FREE TRIAL

Quick Comparison

Feature Cycode Nightfall AI
Website cycode.com nightfall.ai
Pricing Model Freemium Custom
Starting Price Free Custom Pricing
FREE Trial ✓ 14 days free trial ✘ No free trial
Free Plan ✓ Has free plan ✘ No free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment saas saas
Integrations GitHub GitLab Bitbucket Azure DevOps Jira Slack Jenkins CircleCI Terraform Kubernetes Slack GitHub Jira Google Drive Microsoft 365 Salesforce Confluence Zendesk AWS ChatGPT
Target Users mid-market enterprise mid-market enterprise
Target Industries healthcare finance technology
Customer Count 0 0
Founded Year 2019 2018
Headquarters Tel Aviv, Israel San Francisco, USA

Overview

C

Cycode

Cycode provides you with a centralized platform to secure your entire software development lifecycle. Instead of managing disconnected security tools, you can connect your source control, build systems, and cloud infrastructure to identify vulnerabilities in one place. It automatically discovers all your assets and monitors for risks like hardcoded secrets, vulnerable dependencies, and misconfigured pipelines.

You can use the platform to prioritize the most critical risks based on their actual business impact rather than chasing thousands of noisy alerts. It helps your security and development teams collaborate effectively by providing automated remediation workflows and developer-friendly fix suggestions. Whether you are securing a few repositories or an enterprise-scale environment, you can maintain a consistent security posture across every stage of your delivery pipeline.

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Nightfall AI

Nightfall AI helps you discover, monitor, and protect sensitive data across your entire cloud footprint. Instead of relying on rigid, manual rules, you get AI-powered detection that identifies PII, PHI, PCI, and secrets with high accuracy. You can automatically redact or delete sensitive information in real-time across popular apps like Slack, GitHub, and Jira to prevent costly data breaches.

The platform simplifies compliance by providing out-of-the-box detectors for major regulations like HIPAA, GDPR, and SOC 2. You can also secure your use of Generative AI by monitoring prompts and responses for sensitive data leaks. It scales with your organization, offering specialized protection for developers, security teams, and compliance officers who need to secure data without slowing down productivity.

Overview

C

Cycode Features

  • Secrets Detection Scan your entire history to find and remove hardcoded credentials, API keys, and certificates before attackers can exploit them.
  • Software Composition Analysis Identify vulnerable open-source libraries in your code and get clear instructions on how to upgrade to secure versions.
  • Static Analysis (SAST) Find security flaws in your custom code early in the development process with fast, accurate scanning built for modern workflows.
  • Infrastructure as Code Scanning Detect misconfigurations in your Terraform, CloudFormation, and Kubernetes files to prevent insecure cloud deployments before they happen.
  • Code Leakage Protection Monitor public repositories and the web to discover if your private source code has been accidentally exposed or stolen.
  • Pipeline Integrity Secure your CI/CD tools by identifying unauthorized changes or risky configurations in your build and deployment processes.
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Nightfall AI Features

  • AI-Powered Detection. Identify sensitive data like credit card numbers and API keys using machine learning models that understand context and reduce false positives.
  • Automated Remediation. Set custom policies to automatically redact, quarantine, or delete sensitive information the moment it is shared in unauthorized locations.
  • SaaS Data Protection. Secure your data across popular productivity tools including Slack, Microsoft 365, Google Drive, and Salesforce with native API integrations.
  • GenAI Security. Monitor and protect your data within Generative AI tools like ChatGPT to ensure employees don't accidentally share proprietary code or customer info.
  • Developer Secret Scanning. Scan your GitHub, GitLab, and Bitbucket repositories in real-time to find and rotate exposed secrets before they can be exploited.
  • Compliance Reporting. Generate detailed reports for auditors to prove your organization meets strict data privacy requirements for HIPAA, PCI, and SOC 2.

Pricing Comparison

C

Cycode Pricing

Free
$0
  • Up to 10 repositories
  • Hardcoded secrets detection
  • Infrastructure as Code scanning
  • Basic SCA (Open Source) alerts
  • GitHub and GitLab integration
N

Nightfall AI Pricing

Pros & Cons

M

Cycode

Pros

  • Unified view of multiple security scanners in one dashboard
  • Very low rate of false positives compared to competitors
  • Easy integration with existing GitHub and GitLab workflows
  • Fast setup process that provides value within minutes
  • Excellent visibility into developer access and permissions

Cons

  • Custom pricing requires a sales call for larger teams
  • Learning curve for complex custom policy creation
  • Initial scan of large legacy codebases can take time
A

Nightfall AI

Pros

  • High accuracy in detecting sensitive data with fewer false positives
  • Easy setup through API-based integrations without requiring agents
  • Real-time alerts help teams respond to leaks immediately
  • Broad coverage across multiple SaaS and cloud platforms

Cons

  • Pricing can be high for smaller organizations
  • Initial policy configuration requires careful fine-tuning
  • Some advanced reporting features have a slight learning curve
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