Static application security testing
Know what's in every PR before it merges, not after it ships. Fencer scans every commit, cuts the noise with AI triage, catches the logic bugs pattern matching misses, and opens a fix PR automatically.
The problem
Semgrep and CodeQL flag code that matches a known-dangerous pattern. They generate a lot of noise doing it, and they cannot reason about authorization flows or business logic because there is no wrong code to match. Entire classes of vulnerability, IDOR, broken access control, logic flaws, remain invisible to them, no matter how many rules you add.

The solution
A deterministic scanner and an AI reviewer, covering what neither does alone.
01
Nothing to configure per project: every pull request triggers a scan automatically.
02
Deterministic code scanning sweeps your full codebase for known-dangerous patterns, exposed secrets, dependency risks, and IaC misconfigs.
03
An AI security reviewer reads the PR diff, reasons about authorization flows and business logic, and posts inline findings with suggested fixes.
04
A fix PR is ready to review and merge. After it lands, Fencer re-scans to confirm the vulnerability is closed and logs the evidence automatically.
What you get
Fencer's triage layer clears false positives before they reach you. When the AI is uncertain about a finding, it surfaces it rather than dismissing it, so nothing real gets quietly filtered out.
false positives eliminated before findings reach your queue
The AI reviewer catches the class of vulnerability that pattern matching cannot see: IDOR, missing permission checks, SSRF, broken authorization flows. What previously required a pen test to surface now shows up inline on the PR, before anything merges.
Fencer opens a fix PR automatically, ready to review and merge. After it lands, a re-scan confirms the vulnerability is closed and logs the evidence automatically.
25 languages and frameworks scanned, including IaC and CI/CD pipelines. Findings routed directly into GitHub, GitLab, Jira, and Slack, where your team already works.
Languages
Integrates with
GitHub
GitLab
Slack
Jira
Linear
One Platform
Code security, cloud, network, identity, and monitoring: one platform, one queue, one fix workflow.
SAST, AI PR reviews, secrets, IaC
SCA, auto-fix PRs, SBOM, license risk
CSPM, KSPM, attack-path mapping, auto-remediation
AI-led and human-led, on demand
Domains, IPs, SSL, email, lookalike detection
SIEM, Sigma rules, Datadog, New Relic, anomaly detection
API keys, tokens, credentials across code and history
Image scanning, registry monitoring, runtime risks
What does it cost?
SAST is included in all Fencer plans. The Basic plan ($99/mo, up to 3 contributors) runs weekly scans. For the full experience, which is PR scanning on every commit, AI triage, and automatic fix PRs, you need Essentials at $499/mo (10 contributors included, up to 25). Growth at $999/mo adds penetration test management for teams building a broader program. All pricing is published at fencer.dev/pricing, with no quote required to get started.
Does it replace my periodic pen test?
It covers much of what a pen test finds at the application layer, run on every commit rather than once a year. Authorization flaws, logic bugs, SSRF, injection vulnerabilities: these surface on every PR. For teams that need a formal pen test record for compliance or customer questionnaires, Fencer offers both automated SAST and a human-led pen test, and their findings sit in the same place.
Can I buy SAST on its own?
Yes. Fencer's SAST module is available as a standalone offering. Each finding still lands in the Fencer platform, where you can launch the AI fixer and track resolution. If you later want to add SCA, cloud security, or pen testing, they are all in the same place.
Can it find IDOR and business-logic bugs?
Yes. Fencer's investigative agents are specifically designed for the class of vulnerability that pattern matching cannot see: broken object-level authorization (IDOR), missing authorization checks, SSRF, and business-logic flaws. These are the bugs that previously required a manual pen test to surface. They run on every PR as part of the standard scan.
What is the false-positive rate?
Fencer's published benchmark shows 94-98% false-positive elimination across its test set (142 engineer-reviewed findings, 11 real and 131 false positives). The results and methodology are published at fencer.dev/blog/llm-triage-sast-false-positives. The exact rate depends on your codebase and the types of patterns that trigger; the benchmark gives you a verifiable baseline rather than a marketing claim.
Will it slow down my CI pipeline?
Layer 1 (pattern scanning) and Layer 2 (AI triage) run on every pull request and are designed to be fast. Layer 3 (investigative agents) is more thorough and is configurable: you can target it at specific risk areas or run it on a schedule rather than every PR. The scan runs in Fencer's infrastructure, not yours, so it does not add meaningful latency to your pipeline.
What is "hybrid SAST"?
Hybrid SAST is Fencer's three-layer architecture: deterministic pattern scanners (Semgrep and CodeQL) for high-recall detection, an AI triage layer that evaluates each finding in context to eliminate false positives, and investigative agents that reason about authorization flows and business logic. The first layer is fast and produces the same findings every run. The second layer filters the noise. The third catches what no scanner can.
How is this different from GitHub Advanced Security or Semgrep?
GitHub Advanced Security and Semgrep are pattern-matching SAST tools: they find code that matches a known-dangerous pattern and flag it. That approach generates a lot of false positives, and it cannot find authorization or business-logic flaws because there is no wrong code to match. Fencer adds an AI triage layer that eliminates most of the noise before it reaches your queue, and an investigative-agent layer that reasons about authorization flows and logic on every PR, the class of bug that previously required a pen test.