A structured, AI-powered security audit of your source code. We find what scanners miss - and deliver results in days, not months.
Static analyzers are good at flagging known patterns - an SQL injection here, a hardcoded password there. But modern attacks chain multiple small weaknesses together into exploits that no single tool would flag.
A low-severity info leak in JavaScript, combined with an auth bypass in Java, combined with a buffer overflow in native code - that's remote code execution. Each finding looks harmless alone. Together, they're critical.
AI reasons about code the way an attacker would - tracing data flow across language boundaries and combining low-severity findings into high-impact attack paths.
We don't just point AI at your code and hope for the best. Our process combines established security tooling with AI-driven deep analysis and human-guided synthesis.
We run industry-standard static analysis, dependency audits, and CVE scanners against your codebase. This catches known vulnerability patterns quickly and cheaply - and gives AI a head start.
Specialized AI agents analyze your code in parallel - each focused on a specific threat domain. They trace data flow across module and language boundaries, reason about business logic, and spot patterns that rule-based tools cannot.
The highest-value step: we correlate findings across all domains, identify multi-step attack chains, assign composite severity scores, and produce a prioritized remediation roadmap - with the most dangerous chains at the top.
Each domain is handled by a dedicated AI agent with a specific mandate. Results are then cross-correlated to surface attack chains that span multiple domains.
SQL injection, command injection, XSS, path traversal, unsafe deserialization. We trace every input from source to sink across your entire stack.
Auth flows, session management, permission enforcement, JWT handling, privilege escalation paths. We verify access control works everywhere - not just in the UI.
Buffer overflows, use-after-free, integer overflows, and - critically - the boundary between safe and unsafe languages (JNI, FFI) where many vulnerabilities hide.
Full inventory of every algorithm, key size, and TLS configuration in your codebase. We flag weak crypto, hardcoded secrets, and assess your readiness for post-quantum migration.
Beyond simple CVE lookups: we assess transitive dependency risk, maintainer health, namespace squatting exposure, and lock file integrity across your build pipeline.
Race conditions, state machine bypasses, parameter manipulation, inconsistent client/server validation. The flaws that live in your application logic, not in a CVE database.
Executive Summary
Top-line risk posture, critical chain count, and key recommendations - written for decision-makers.
Prioritized Finding List
Every vulnerability ranked by real-world exploitability and impact - not just generic CVSS scores.
Attack Chain Diagrams
Visual maps of how individual findings combine into multi-step exploits across your stack.
Remediation Roadmap
Concrete fix guidance with code examples, grouped by effort and business priority. Fix one finding, break multiple chains.
Security scanners are notorious for producing thousands of findings that nobody has time to triage. Our report is different: every finding is prioritized by real exploitability and grouped into attack chains so you know exactly what to fix first.
The remediation roadmap is designed for your engineering team - with specific file locations, code-level fix suggestions, and a clear explanation of why each fix matters.
Days, not months
Typical turnaround time
Fully repeatable
Re-run on every release
Tell us about your project - the languages, the scale, the risk profile. We'll outline a scan approach and give you a realistic cost and timeline estimate.
Email us: info@invisoft.eu