AppSec on Autopilot

Cyfendo continuously analyzes your code, validates high-confidence vulnerabilities, and generates review-ready patches—so security teams triage less and developers fix faster.

No credit card required 10K protected LOC free 5 scans/month Minimal setup
97.3%
Benchmark Vulnerabilities Detected
88.6%
Finding Precision
2,740
OWASP Test Cases Evaluated
0.84
Youden Index (J-Score)
Measured by Cyfendo on the full OWASP Benchmark v1.2 suite. Review the methodology and complete results →

Find → Validate → Fix

From suspicious code patterns to review-ready fixes—with developer approval at every step.

01

1. Find

Identify potentially vulnerable code using structural Abstract Syntax Tree (AST) parsing and semantic symbol analysis across your entire repository.

02

2. Validate

Challenge candidate findings using data-flow reachability analysis, adversarial AI reasoning, deterministic checks, and isolated sandbox validation where applicable.

03

3. Fix

Produce clear source-to-sink evidence alongside an optional, review-ready code patch. Developers preserve complete approval authority before anything is merged.

Less AppSec work. More security coverage.

Traditional scanners can create a second job: configure rules, review alerts, determine reachability, create tickets, explain fixes, and repeatedly retest. Cyfendo automates much of that workflow—from analysis through validation and remediation—while developers remain in control.

Validate before escalating

Use semantic reachability and multi-layer validation to suppress non-exploitable noise before it reaches engineering queues.

Triage automatically

Prioritize high-confidence vulnerabilities with clear severity, affected source code, CWE mappings, and complete trace evidence.

Fix, don't just file tickets

Generate review-ready remediation patches directly against affected source files, reducing the back-and-forth between security and dev.

Run throughout development

Integrate with GitHub, CI/CD pipelines, local CLI, scheduled scans, or browser uploads within your plan's monthly scan capacity.

Scale across real codebases

Analyze substantial production repositories—from focused microservices to multi-million-line applications with modular add-ons.

Keep developers in control

Cyfendo proposes changes for human inspection. Developers retain 100% authority over what gets approved and merged into production.

From vulnerability to fix—not vulnerability to ticket

Cyfendo doesn't stop after detecting a vulnerability. It explains the affected path, provides evidence, and can generate a remediation diff for developer review.

Finding Source-to-Sink Evidence Validation Proposed Patch Developer Approval
src/controllers/user_controller.py CWE-89 SQL Injection
Proposed Remediation
14 def get_user_profile(user_id: str):
15 db = get_database_connection()
16 - query = "SELECT * FROM users WHERE id=" + user_id
17 - return db.execute(query)
16 + query = "SELECT * FROM users WHERE id = ?"
17 + return db.execute(query, [user_id])
18

Review-Ready Patches

Proposed code fixes address the vulnerability directly in source code rather than merely filing an unresolved ticket.

Developers Retain Approval

Every generated patch is submitted for human review—developers preserve complete control over what gets merged.

Included in Paid Plans

Patch generation is included with Starter, Growth, and Scale plans, and can be enabled or disabled per repository.

AI reasoning. Deterministic validation. Exploit evidence.

Cyfendo does not rely on raw model output alone. Candidate vulnerabilities are checked against real code structure and data-flow reachability, challenged by additional analysis, and dynamically validated in isolated sandboxes where appropriate.

1. Semantic Parsing

Constructs Abstract Syntax Trees (AST) and symbol tables to map cross-file dependencies and program semantics without requiring compilation.

2. Taint Reachability

Traces untrusted user inputs through variable assignments, control-flow branches, and sanitizers to dangerous sink invocations.

3. Adversarial Review

Contextual reasoning agents scrutinize candidate findings to detect custom framework sanitizers, validation routines, and non-exploitable paths.

4. Sandbox Validation

Where applicable, candidate findings are dynamically validated in isolated, ephemeral sandboxes to generate definitive exploit evidence.

From scanner output to verified fixes

See how autonomous application security streamlines the entire detection and remediation lifecycle.

Typical Scanner Workflow

Manual & Friction-Heavy

  • × Configure and tune complex scanner rules
  • × Receive high-volume, unsorted findings
  • × Manually investigate false-positive queues
  • × Determine whether flagged code is reachable
  • × Create remediation tickets without code solutions
  • × Developers research fixes from scratch
  • × Fix manually, rescan, and repeat the cycle
Cyfendo Workflow

Autonomous & Evidence-Driven

  • Connect code with zero complex configuration
  • Analyze continuously within your monthly plan capacity
  • Validate candidates via semantic reachability & sandboxes
  • Prioritize findings with clear severity and trace evidence
  • Present evidence from source input to execution sink
  • Generate review-ready remediation diffs directly against code
  • Developer approves proposed changes before merging

The Outcome: Less manual AppSec triage for security teams and faster vulnerability remediation for developers.

Proof you can inspect

Don't take our word for it. Review our empirical benchmark evaluation, inspect our technical methodology, or evaluate Cyfendo on your own codebase.

Benchmark Results

Full 2,740-case OWASP Benchmark evaluation with confusion matrix and 11-category breakdown.

Technical Methodology

See how Cyfendo combines semantic analysis, adversarial review, deterministic validation, and sandboxing.

Try It on Your Code

Evaluate Cyfendo against your own repository with up to 10K protected LOC and 5 scans per month.

Security Architecture

Understand code handling, model-provider zero-training policies, encryption, and repository permissions.

Security performance you can inspect

Cyfendo detected 97.3% of vulnerabilities in its full-suite OWASP Benchmark v1.2 evaluation, with 88.6% precision across 2,740 standardized test cases.

Standardized, Reproducible Evaluation

We believe security claims should be backed by measurable data. Review the methodology, test configuration, and complete confusion matrix behind our 2,740 test-case evaluation on the OWASP Benchmark v1.2 suite.

OWASP Benchmark evaluates vulnerability recall and false-positive resistance across 11 CWE categories under standardized conditions.

97.3%
Benchmark Sensitivity (Recall)
88.6%
Finding Precision (PPV)
13.4%
False Positive Rate (FPR)
0.84
Youden Index (J-Score)

Predictable pricing by protected code

Choose a protected-code capacity and monthly scan allowance that fits your development workflow. Paid plans include unlimited users, with no AI credits or per-finding fees.

Monthly Annual 2 months free
Free

Evaluate Cyfendo on your codebase.

$0 / month
Up to 10K protected LOC
  • 1 protected project
  • 5 security scans / month
  • Cyfendo security scanning
  • Actionable finding details
  • Limited evaluation of patches
  • No credit card required
Start Free
Starter

Lowest-friction paid entry point.

$99 / month
Up to 100K protected LOC
  • Unlimited protected projects
  • 100 security scans / month
  • Unlimited users & team members
  • Full security engine
  • Review-ready patches included
  • 0 scan credits for unchanged re-scans
Start Free
Scale

For large orgs and multi-repo codebases.

$799 / month
Up to 2M protected LOC
  • Everything in Growth, plus:
  • Up to 2,000,000 protected LOC
  • 1,000 security scans / month
  • Modular +1M LOC & +500 scans add-ons
  • Built for multi-project architectures
  • Full review-ready patch generation
  • Priority technical support
Start Free
Need more capacity?

Additional Protected Code

+$200/month (or $2,000/year) per additional 1M protected LOC (+500 scans/mo) for code exceeding your plan's base allowance on Scale.

Protected LOC counts first-party application source code, excluding generated code, dependencies, build artifacts, blank lines, and other excluded content according to Cyfendo's counting rules.

Enterprise & Custom Requirements

Larger codebases, custom scan allowances, private deployment options, advanced access controls, custom data-retention requirements, and dedicated SLA support.

Contact Us

Your code is your code

Security and privacy are foundational. We treat your source code with strict boundaries and zero compromise.

No Model Training

Customer source code is not used to train Cyfendo or third-party foundation models under enterprise zero-training policies.

No Persistent Repository

Full repositories are processed in ephemeral environments and are not retained as persistent repository mirrors post-analysis.

AI-Provider ZDR

When extracted code contexts are sent to external AI infrastructure, enterprise APIs enforce strict Zero Data Retention (ZDR).

Developer Authority

Cyfendo proposes review-ready patches, but developers retain complete review and approval authority over merged code.

Frequently Asked Questions

Direct, technical answers to common questions about autonomous scanning, code privacy, accuracy, and pricing.

Cyfendo is an autonomous application-security platform that continuously finds, validates, prioritizes, and helps fix vulnerabilities in source code. It reduces the manual AppSec work required from security and engineering teams by automating detection, triage, and patch synthesis.

No. Cyfendo works out of the box with zero complex rule configuration. Developers and engineering teams can connect a repository and start securing code immediately without becoming experts in query syntax or alert tuning.

False positives can occur with automated tools, but Cyfendo is engineered to minimize them by validating semantic data-flow reachability from inputs to sinks, challenging candidate flaws with adversarial reasoning, and providing source-to-sink trace evidence with every finding.

No persistent copies of your full repository are retained. Code is fetched into isolated, ephemeral execution sandboxes for the duration of the scan and destroyed post-analysis. Only finding dossiers, code snippets relevant to verified vulnerabilities, and generated patches are stored in your tenant account.

No. Customer source code is not used to train Cyfendo or third-party foundation models. We operate under strict enterprise zero-training and Zero Data Retention (ZDR) agreements with upstream AI infrastructure providers.

Cyfendo adheres to the principle of least privilege. Read-only repository access is sufficient for scanning. Write access is only requested if you explicitly configure automated pull-request creation for remediation diffs.

No. Cyfendo never automatically merges code into your repositories. Developers retain 100% review and approval authority over all proposed code changes.

Yes. Patch generation is optional. You can use Cyfendo purely for continuous vulnerability detection, reachability validation, and triage guidance without generating automated patches.

Yes. Cyfendo is designed for production codebases spanning microservices to multi-million-line repositories, utilizing sub-linear symbol indexing, differential pull-request scanning, and modular Scale add-on expansions.

Plans combine protected Lines of Code (LOC) capacity with a monthly scan allowance: Free (10K LOC, 5 scans/mo), Starter ($99/mo for 100K LOC, 100 scans/mo), Growth ($299/mo for 500K LOC, 300 scans/mo), and Scale ($799/mo for 2M LOC, 1,000 scans/mo). Paid plans include unlimited users with no AI credits or per-finding fees. Identical re-scans of unchanged snapshots consume 0 scan credits.

Have more questions about security architecture, CI/CD integrations, compliance, or enterprise VPC deployment?

View All FAQs & Trust Center →

See what Cyfendo finds in your code.

Start with up to 10K protected LOC and 5 scans per month. No credit card required.

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