Attackers have AI. Your security team should too.

Cyfendo autonomously finds real vulnerabilities, proves they’re exploitable, and delivers review-ready fixes—so your team can secure code at AI speed.

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No credit card required 10K protected LOC free 5 scans/month Minimal setup
00:00.12 AST PARSE Parsed 412 source files (84,290 symbols resolved across cross-file imports)
00:00.28 TAINT TRACE Source: request.args.get('user_id') → Sanitizer check: None detected
00:00.41 VULN CONFIRMED Dangerous Sink: db.execute() reached via unescaped string concatenation (CWE-89)
00:00.64 SYNTHESIS Parameterized query patch synthesized • 0 side-effect AST breakages verified
00:00.08 INDEXER Constructing multi-tier call graph for src/controllers/
00:00.19 DATA-FLOW Resolved 1,842 call edges with context-sensitive inter-procedural summary
00:00.35 REACHABILITY Dead-code branch pruning suppressed 18 non-exploitable candidate warnings
00:00.15 ORACLE DUAL-CHECK Verified against OWASP Benchmark v1.2 and Python suites (3,970 test cases)
00:00.31 METRIC SCORE Java Recall: 97.3% • Python FPR: 3.47% • Youden Index: 0.84
00:00.49 EVIDENCE STATUS Complete source-to-sink AST path generated with deterministic proof
97.3%
Java Vulnerability Recall
3.47%
Python False-Positive Rate
92.76%
Java F1 Score
3,970
OWASP Cases (Java + Python)
Measured by Cyfendo on the OWASP Benchmark v1.2 and Python suites (3,970 test cases). Explore the full benchmark 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.

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])

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.

See the Autonomous Remediation Engine in Action 2:15

Watch Cyfendo trace source-to-sink reachability, validate exploitability, and generate PR-ready Git diffs.

High recall. Far less noise.

Across 3,970 standardized OWASP benchmark cases spanning Java and Python, Cyfendo demonstrates market-leading detection accuracy—combining high vulnerability recall with dramatically lower false-positive rates.

Market-Leading Security Signal

Security automation only works when developers trust the alerts. Cyfendo delivers near-exhaustive vulnerability detection without burying engineering teams in false alarms.

Selected public Java results on OWASP Benchmark v1.2: Cyfendo 0.84 Youden Index • 92.76% F1 vs. Semgrep OSS 78.5% and CodeQL 73.3%.

97.3%
Java Recall
3.47%
Python FPR
92.76%
Java F1 Score
3,970
Test Cases (Java + Python)

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
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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
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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
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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.

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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.

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. 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.

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

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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