Targeted and surgical reasoning makes remediation precise, provable, and scalable.
Ferralon extracts rich, deterministic facts from the exact application build, applies targeted reasoning to the uncertainty that remains, and produces a minimal fix backed by execution evidence.
Brute-force reasoning reaches its limits at fleet scale.
Most AI remediation systems give a model a repository, a vulnerability finding, and a large token budget. The model explores, rewrites, tests, and retries until it produces an acceptable result.
This approach can work for a one-off fix or a small batch. Across thousands of findings, repositories, and commits, it becomes slow, variable, and wildly expensive.
- Broad repository context
- Long reasoning chains
- Repeated trial and error
- Potentially broad code changes
- Tests or scanners turn green
- A human still has to decide whether the vulnerability was actually fixed
- Deterministic code facts
- Exact vulnerable path
- Targeted reasoning where needed
- Minimal, evidence-directed patch
- Rebuild the application
- Re-run the exploit proof
- Bind the verdict to the resulting commit
Rich, deterministic code intelligence focuses reasoning on the few questions that actually require it.
The Proof Engine turns code evidence into a verified fix.
Before asking a model to reason, Ferralon builds a precise understanding of the application: packages, symbols, call paths, build configuration, vulnerable behavior, and the code that can actually invoke it.
Reasoning is then concentrated on the narrow questions that computation alone cannot answer.
- 01MapIdentify the exact code and dependency path.
- 02ProveDetermine whether the vulnerability can be exploited in the exact build.
- 03PatchLimit the change to the code surface required to close the proven path.
- 04RebuildProduce the actual changed application artifact.
- 05Re-proveVerify that the exploit no longer works while the application still does.
- 06BindAttach the verdict to the commit and build that produced the evidence.
Every Ferralon patch carries evidence from the exact build.
Unknown remains unknown. Scanner results, static conclusions, and executed proof remain distinct evidence classes. An execution-grounded verdict requires observing the exploit effect in the original build, then observing its disappearance after the patched application is rebuilt while the application continues to operate.
Minimum sufficient intelligence.
Compute known facts directly
Deterministic analysis answers the known questions directly. Reasoning is reserved for the uncertainty that remains.
Keep patches narrow
The patch targets a specific, proven path. Narrow changes reduce review burden, regression risk, and unintended side effects.
Constrain reasoning cost
Code analysis computes the facts a model would otherwise rediscover, which keeps CPU and token cost per remediation predictable.
Run the proof loop continuously
The same proof loop runs continuously across repositories and commits, making autonomous remediation practical at enterprise and fleet scale.
Ferralon connects code intelligence, exploit proof, remediation, rebuild, and re-proof in one system.
SCA and reachability products identify vulnerable code and reachable paths. Exposure platforms correlate and prioritize risk across an estate. Runtime products observe application behavior in running environments. AI fix products generate or recommend code changes.
Ferralon integrates those evidence inputs into an exact-build proof and remediation loop: it establishes exploitability on the specific build, produces a minimal fix, rebuilds the application, and re-proves the result.
| Category | Developer / CI-Native | Reasoned Code Graph | Code-level Runtime Evidence | Symbol and Call Graph Analysis | Proof of Exploit / Proof of Non-Exploit on Exact Build | Patch → Rebuild → Re-prove | Living, Commit-bound Verdicts |
|---|---|---|---|---|---|---|---|
| SCA / ReachabilitySnyk, Mend, Endor | Core, native capability | Partial capability | Limited or adjacent capability | Strong capability | Limited or adjacent capability | Partial capability | Limited or adjacent capability |
| Exposure / CTEMWiz, Tenable, Qualys, Rapid7 | Partial capability | Limited or adjacent capability | Limited or adjacent capability | No publicly documented capability identified | Limited or adjacent capability | Limited or adjacent capability | No publicly documented capability identified |
| Runtime / ADROligo, Miggo, Upwind | Partial capability | Limited or adjacent capability | Core, native capability | Partial capability | Limited or adjacent capability | Limited or adjacent capability | No publicly documented capability identified |
| AI Fix / SASTMobb, Pixee, Corgea | Core, native capability | Limited or adjacent capability | Limited or adjacent capability | Partial capability | Limited or adjacent capability | Partial capability | Limited or adjacent capability |
| FerralonAutonomous Cyber Remediation | Core, native capability | Core, native capability | Core, native capability | Core, native capability | Core, native capability | Core, native capability | Core, native capability |
SCA / ReachabilitySnyk, Mend, Endor
- Developer / CI-Native
- Core, native capabilityCore, native capability
- Reasoned Code Graph
- Partial capabilityPartial capability
- Code-level Runtime Evidence
- Limited or adjacent capabilityLimited or adjacent capability
- Symbol and Call Graph Analysis
- Strong capabilityStrong capability
- Proof of Exploit / Proof of Non-Exploit on Exact Build
- Limited or adjacent capabilityLimited or adjacent capability
- Patch → Rebuild → Re-prove
- Partial capabilityPartial capability
- Living, Commit-bound Verdicts
- Limited or adjacent capabilityLimited or adjacent capability
Strong at narrowing dependency findings; generally stops before exact-build exploit proof and patch re-proving.
Exposure / CTEMWiz, Tenable, Qualys, Rapid7
- Developer / CI-Native
- Partial capabilityPartial capability
- Reasoned Code Graph
- Limited or adjacent capabilityLimited or adjacent capability
- Code-level Runtime Evidence
- Limited or adjacent capabilityLimited or adjacent capability
- Symbol and Call Graph Analysis
- No publicly documented capability identifiedNo publicly documented capability identified
- Proof of Exploit / Proof of Non-Exploit on Exact Build
- Limited or adjacent capabilityLimited or adjacent capability
- Patch → Rebuild → Re-prove
- Limited or adjacent capabilityLimited or adjacent capability
- Living, Commit-bound Verdicts
- No publicly documented capability identifiedNo publicly documented capability identified
Strong at estate-wide correlation and prioritization; generally does not operate inside the application’s code-to-fix loop.
Runtime / ADROligo, Miggo, Upwind
- Developer / CI-Native
- Partial capabilityPartial capability
- Reasoned Code Graph
- Limited or adjacent capabilityLimited or adjacent capability
- Code-level Runtime Evidence
- Core, native capabilityCore, native capability
- Symbol and Call Graph Analysis
- Partial capabilityPartial capability
- Proof of Exploit / Proof of Non-Exploit on Exact Build
- Limited or adjacent capabilityLimited or adjacent capability
- Patch → Rebuild → Re-prove
- Limited or adjacent capabilityLimited or adjacent capability
- Living, Commit-bound Verdicts
- No publicly documented capability identifiedNo publicly documented capability identified
Strong at observing actual execution; generally does not turn that evidence into a minimal source patch and commit-bound proof.
AI Fix / SASTMobb, Pixee, Corgea
- Developer / CI-Native
- Core, native capabilityCore, native capability
- Reasoned Code Graph
- Limited or adjacent capabilityLimited or adjacent capability
- Code-level Runtime Evidence
- Limited or adjacent capabilityLimited or adjacent capability
- Symbol and Call Graph Analysis
- Partial capabilityPartial capability
- Proof of Exploit / Proof of Non-Exploit on Exact Build
- Limited or adjacent capabilityLimited or adjacent capability
- Patch → Rebuild → Re-prove
- Partial capabilityPartial capability
- Living, Commit-bound Verdicts
- Limited or adjacent capabilityLimited or adjacent capability
Strong at developer workflow and patch generation; generally lacks an execution-grounded proof-and-re-prove loop.
FerralonAutonomous Cyber Remediation
- Developer / CI-Native
- Core, native capabilityCore, native capability
- Reasoned Code Graph
- Core, native capabilityCore, native capability
- Code-level Runtime Evidence
- Core, native capabilityCore, native capability
- Symbol and Call Graph Analysis
- Core, native capabilityCore, native capability
- Proof of Exploit / Proof of Non-Exploit on Exact Build
- Core, native capabilityCore, native capability
- Patch → Rebuild → Re-prove
- Core, native capabilityCore, native capability
- Living, Commit-bound Verdicts
- Core, native capabilityCore, native capability
Integrates code intelligence, execution proof, surgical remediation, rebuilt verification, and living verdicts.
Representative category maturity based on publicly documented product behavior. Individual vendor capabilities vary.
Each score describes the category as a whole. It is a representative reading, not a measurement of any single vendor and not a best-of composite.
- No publicly documented capability identified
- Limited or adjacent capability
- Partial capability
- Strong capability
- Core, native capability
Proof of Exploit and Proof of Non-Exploit are established on the exact application build under evaluation.
Reviewed August 2026.
SCA / Reachability
Strong at narrowing dependency findings; generally stops before exact-build exploit proof and patch re-proving.
Exposure / CTEM
Strong at estate-wide correlation and prioritization; generally does not operate inside the application’s code-to-fix loop.
Runtime / ADR
Strong at observing actual execution; generally does not turn that evidence into a minimal source patch and commit-bound proof.
AI Fix / SAST
Strong at developer workflow and patch generation; generally lacks an execution-grounded proof-and-re-prove loop.
Ferralon
Integrates code intelligence, execution proof, surgical remediation, rebuilt verification, and living verdicts.
Every verdict is bound to the code that produced it.
A Ferralon verdict identifies:
- The specific vulnerability
- The exact application build and commit
- The code path under evaluation
- The observed exploit effect—or the reason it cannot occur
- The patch applied
- The rebuilt artifact that was tested
- The evidence that the exploit effect disappeared
- The evidence that the application continued to function
A code change triggers re-gating, keeping the verdict aligned with the current build. The evidence remains connected to the software, commit, and execution result that produced it.
Move from vulnerability finding to proven fix.
Start with Ferralon Assay to determine which findings your code cannot reach. Then use the Ferralon Proof Engine to prove what is exploitable, remediate it, and prove it is fixed.