Fencer

Fencer is an AI-native cybersecurity platform for startups that combines code scanning, vulnerability management, cloud security, network monitoring, identity security, SIEM, penetration testing, and compliance workflows in one platform.
Pricing Model: Free + Paid
https://www.fencer.dev/
Release Date: 31/01/2026

Fencer Features:

  • AI-powered vulnerability triage, prioritization, and remediation assistance
  • SAST code scanning for identifying security vulnerabilities in source code
  • SCA and dependency security with vulnerability and software component analysis
  • Secrets scanning for exposed credentials, API keys, and tokens
  • Cloud security posture management and infrastructure security assessment
  • Security monitoring and SIEM capabilities with event analysis and detection rules
  • External attack surface monitoring for domains, SSL, DNS, ports, and exposed services
  • AI-led and human-led penetration testing with remediation tracking
  • Asset inventory, SBOM generation, and architecture visualization
  • Compliance evidence collection and integrations with GRC platforms such as Vanta and Drata

Fencer Description:

What Is Fencer?

Fencer is an AI-native cybersecurity platform designed primarily for startups and small engineering teams. It brings multiple security functions into a single platform, covering application security, cloud infrastructure, vulnerabilities, external attack surfaces, identity, security monitoring, and compliance.

The platform is designed around the idea of handling security work inside the tools and workflows that development teams already use, reducing the need to manage multiple disconnected security products.

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Unified Security Platform

Fencer combines security capabilities that are commonly handled through separate products. Its platform overview includes code scanning, cloud infrastructure assessment, SIEM-based monitoring, identity management, vulnerability management, and external attack surface monitoring.

Connected repositories, cloud accounts, domains, endpoints, containers, and SaaS applications can be monitored from a centralized security workspace.

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AI-Native Security

AI is integrated into several areas of Fencer’s platform, including vulnerability triage, security event analysis, code remediation, and penetration testing.

The platform’s AI capabilities are intended to reduce manual security work by helping teams understand findings, prioritize issues, generate fixes, and investigate security events.

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Code Security Scanning

Fencer provides application security scanning across source-code repositories. Its code security offering includes static application security testing, secrets scanning, software composition analysis, and infrastructure-as-code security checks.

The platform can connect to GitHub, GitLab, and Bitbucket and can perform security checks during the development workflow.

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AI-Powered Code Fixes

Fencer’s AI fix agent can analyze identified security issues, generate a proposed patch, explain the change, and open a pull request for developer review.

This workflow allows developers to review and merge suggested security fixes rather than manually translating every security finding into a code change.

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Vulnerability Management

Fencer consolidates vulnerability findings from multiple security sources into a unified view. The platform provides vulnerability prioritization to help teams determine which issues require attention.

Paid plans also include features such as one-click fixes and agent-driven code generation for planning changes, creating pull requests, and addressing vulnerabilities.

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Dependency and SBOM Security

Software composition analysis helps identify vulnerable dependencies used by applications. Fencer also provides software bill of materials generation for supported plans.

SBOMs can be generated in formats including CycloneDX and SPDX, giving teams an inventory of software components that can also support security and compliance processes.

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Cloud Security

Fencer assesses cloud infrastructure and infrastructure-as-code configurations for security risks. Its cloud security capabilities include cloud security posture management and Kubernetes security posture management.

The platform can also map relationships between cloud resources to provide additional context around the organization’s infrastructure and attack surface.

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External Attack Surface Monitoring

Fencer monitors externally visible assets including domains, DNS records, SSL certificates, email authentication, open ports, and exposed network services.

Domain security also includes detection of certain phishing and lookalike-domain risks. Network security findings are presented alongside other security issues within the platform.

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Security Monitoring and SIEM

Fencer includes security monitoring capabilities for collecting and analyzing security event data. The platform provides detection rules, event visibility, and alerting for connected infrastructure and applications.

Its AI-powered security event analysis can summarize what happened, explain why an event may matter from a security perspective, and provide investigation steps.

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AI Penetration Testing

Fencer provides AI-powered penetration testing designed to test web applications and identify exploitable security weaknesses. The AI penetration testing workflow follows established web security testing methodologies and produces findings with exploit evidence.

Current documentation describes an on-demand process where verified targets are scoped, tested, and reported within the Fencer platform.

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Human-Led Penetration Testing

Alongside AI-led testing, Fencer offers human-led penetration testing for applications requiring deeper manual security review.

The current pricing structure lists human-led penetration testing as a separate engagement, while higher platform plans can include an annual human-led penetration test.

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Identity and Access Security

Fencer provides identity and access security capabilities designed to help organizations review user and non-human identities across connected systems.

The platform can identify dormant accounts and excessive privileges while helping automate evidence collection for recurring access reviews.

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Asset Inventory

Fencer maintains an inventory of infrastructure and technology assets connected to the platform. This can include repositories, cloud resources, dependencies, domains, endpoints, containers, and SaaS applications.

Architecture and network visualization capabilities can provide an additional view of how resources and systems relate to one another.

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Compliance Support

Fencer includes capabilities designed to support security compliance programs. Findings, SBOMs, architecture diagrams, and other security information can be used as evidence for audits.

Integrations with GRC platforms such as Vanta and Drata can help synchronize security evidence with existing compliance workflows.

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Security and Data Protection

Fencer states that source code is not retained after scanning. Repositories are analyzed in isolated, temporary environments, after which the source code is automatically deleted. Scan results, metadata, and summary statistics remain in the customer’s account.

Fencer also states that its platform is SOC 2 Type II compliant and uses encryption, tenant isolation, role-based access controls, and AWS infrastructure for hosting customer data.

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Plans and Pricing

Fencer offers several paid platform plans. Basic starts at $99 per month when billed annually and includes weekly code, cloud, and container scans, asset inventory, architecture visualization, integrations, and up to three contributors.

Essentials starts at $499 per month annually, Growth at $999 per month annually, and Advanced at $1,999 per month annually. Features and contributor limits increase across the plans.

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Open Source Security

Fencer provides a free security plan for public open-source repositories. The current open-source offering includes static analysis, secrets scanning, and dependency scanning.

Public repositories can also display a Fencer protection status badge after being enrolled in the program.

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Who Can Use Fencer?

Fencer is primarily designed for startups and smaller engineering organizations that need broad security coverage without operating a large dedicated security team.

The platform is also positioned for companies in areas such as healthtech, fintech, and govtech, where security and compliance requirements can be significant.

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Fencer FAQ

What does Fencer do?

Fencer provides a unified security platform covering code, cloud, vulnerabilities, identities, external attack surfaces, security monitoring, penetration testing, and compliance.

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Is Fencer an AI security platform?

Yes. Fencer describes itself as an AI-native security platform and incorporates AI into vulnerability triage, code fixes, security event analysis, and penetration testing.

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How much does Fencer cost?

The Basic plan starts at $99 per month when billed annually. Higher plans are available at $499, $999, and $1,999 per month when billed annually.

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Does Fencer offer a free plan?

Fencer provides free security scanning for qualifying public open-source repositories. Paid plans are available for organizations using the broader platform.

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Does Fencer scan source code?

Yes. Fencer provides SAST, secrets scanning, software composition analysis, and other code security capabilities across supported repositories.

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Does Fencer provide penetration testing?

Yes. Fencer offers both AI-led and human-led penetration testing, including on-demand AI penetration tests for supported web applications.

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Does Fencer support compliance?

Yes. Fencer provides audit evidence capabilities and integrations with GRC platforms including Vanta and Drata.

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Does Fencer retain source code?

Fencer states that source code is analyzed in isolated temporary environments and automatically deleted after scanning. The platform retains scan results and related security metadata rather than the source code itself.

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