Lacework FortiCNAPP and Snyk compete in the enterprise security category. Snyk seems to hold an upper hand due to its simplicity and cost-effectiveness, making it accessible and developer-friendly.
Features: Lacework FortiCNAPP simplifies anomaly detection and security compliance with comprehensive compliance reporting. It also integrates well with monitoring tools to enhance security posture. Snyk offers easy integration with source control and cloud CI systems. Its self-service model aids developers in quickly identifying vulnerabilities, enhanced by a detailed vulnerability database.
Room for Improvement: Lacework FortiCNAPP needs better visibility in IAM controls and third-party integration, along with refining alert configurations and securing FedRAMP authorization. Snyk could improve by incorporating SAST or DAST features, better IDE integration, and improving its vulnerability notification system to reduce noise. Licensing compliance and documentation improvements are also needed.
Ease of Deployment and Customer Service: Lacework FortiCNAPP deploys easily in public cloud environments with proactive customer support, though some find the technical depth lacking. Snyk supports various deployment models with high-rated customer support, though initial integration may present challenges.
Pricing and ROI: Lacework FortiCNAPP is seen as costly but delivers ROI through reduced monitoring efforts. Snyk's scalable licensing is noted for being reasonable yet perceived expensive by some. Clients appreciate Snyk for its developer-focused security features, despite the pricing structure needing attention based on the number of code committers.
Their response time aligns with their SLA commitments.
Our long-standing association has ensured smooth communication, resulting in favorable support experiences and satisfactory issue resolution.
Snyk allows for scaling across large organizations, accommodating tens of thousands of applications and over 60,000 repositories.
The inclusion of AI to remove false positives would be beneficial.
One key feature we are currently examining with Veracode is AIVSS (Artificial Intelligence VSS), which is an extension of CVSS to cover use cases or top 10 LLM findings during code scanning.
It lacks the ability to select branches on its Web UI, forcing users to rely on CLI or CI/CD for that functionality.
Snyk is recognized as the cheapest option we have evaluated.
After negotiations, we received a special package with a good price point.
Snyk helps detect vulnerabilities before code moves to production, allowing for integration with DevOps and providing a shift-left advantage by identifying and fixing bugs before deployment.
Our integration of Snyk into GitHub allows us to automatically scan codebases and identify issues, which has improved efficiency.
The best feature of Snyk is the integration with our ticketing system, which is Jira.
Product | Market Share (%) |
---|---|
Snyk | 5.3% |
Lacework FortiCNAPP | 1.8% |
Other | 92.9% |
Company Size | Count |
---|---|
Small Business | 4 |
Midsize Enterprise | 4 |
Large Enterprise | 3 |
Company Size | Count |
---|---|
Small Business | 20 |
Midsize Enterprise | 8 |
Large Enterprise | 21 |
Lacework FortiCNAPP provides robust cloud security, combining vulnerability management and multi-cloud insight with user-friendly controls, machine learning detection, and compliance support.
Lacework FortiCNAPP specializes in cloud security by merging machine learning anomaly detection with agent-based vulnerability management to offer detailed alerts and compliance reports. Its comprehensive approach allows continuous monitoring across AWS and Kubernetes, providing insights from an attacker's perspective. The platform offers automation and seamless Slack integration, facilitating collaborative and efficient cloud security management. Users value its ability to handle multi-cloud environments and scan IAC scripts, configurations, and compute nodes across AWS and GCP.
What are the key features?Organizations across sectors leverage Lacework FortiCNAPP for cloud security, focusing on compliance, security posture, and vulnerability management. It is widely used for monitoring AWS and Kubernetes environments, scanning IAC scripts, configurations, and securing compute nodes. It supports multi-cloud security posture management and log ingestion, enabling companies to maintain strong cloud infrastructures without dedicated security layers.
Snyk's AI Trust Platform empowers developers to innovate securely in AI-driven environments, ensuring rapid and secure software development with enhanced policy governance.
Snyk’s platform integrates AI-ready engines across the software development lifecycle, offering broad coverage with high speed and accuracy essential for fast-paced coding environments. AI-driven features include visibility, prioritization, and tailored security policies that enable proactive threat prevention and quick remediation. By focusing on LLM engineering and AI code analysis, Snyk supports secure and productive development processes. The platform's partnerships, including GenAI code assistants, enhance AI application security by addressing new threats and code velocity challenges.
What are the key features of Snyk?Snyk is implemented across industries focusing on agile development and DevSecOps, enhancing software delivery speed and security. It is widely used for continuous monitoring and adherence to security and licensing standards, especially in environments relying on Docker image security and CI/CD pipeline integration.
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