DefensiveAI

Methodology

Attention at every scale of the codebase at once.

Most security tools decide what to look at before they look. They scan for known categories of mistake, score each finding on its own, and stop. That’s how four low-severity findings become one catastrophic vulnerability that nobody sees. We built a different process.

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A codebase decomposed until every unit can be read in full Observations roll up — nothing is discarded

Recursive decomposition

We read every line. An analysis agent is given the codebase. If it’s larger than roughly 400KB of source, or naturally divides into subsystems, it splits the code into logical units and delegates each to a copy of itself. That repeats until every unit is small enough to be read in full. Each leaf agent reads its unit and writes a structured report — every observation, not just the ones that match a checklist. Anything that looks wrong, fragile, inconsistent, or merely odd is recorded.

Roll-up synthesis

Each parent agent reads its children’s reports and writes its own: what it inherits, what it sets aside, and what it can see only from one level up. Significant observations bubble upward. Nothing is deleted — every leaf report stays on disk, and any layer can search the full tree when a pattern surfaces. The effect is attention at every scale of the codebase at once. An authorization check missing from one handler is invisible at the leaf and obvious from the layer that has seen all forty.

Why not categories

Category-based scanning has a prior: it can only find what it was told to look for, and it scores what it finds one item at a time. Attackers don’t work that way. They chain. The roll-up layer is where chains become visible, because it’s the first place all the pieces are in view together.

A chain of four, taken apart

Validation

The analysis produces observations. Observations aren’t findings. A separate, narrower process re-examines each one with a specific question: is this real, is it reachable, does it matter here? Duplicates, mitigated issues, test-only code, and speculation are rejected. A human analyst reviews what survives. What you receive has been through both.

Relevance

We report what is relevant to your code and your business. A finding that’s technically valid but can’t affect you doesn’t make the report — it makes a footnote.

Stress testing

With the insider knowledge from the analysis, we write custom probes against the edges we’ve identified and run them against a staging environment — with written authorization and agreed stop conditions. The point is to confirm what’s exploitable, not to guess.

What this doesn’t do

It doesn’t prove your product is secure — nothing does. It doesn’t replace monitoring, dependency management, or judgment. Coverage is reported honestly: if a part of the codebase was out of scope or couldn’t be analyzed, the report says so rather than treating silence as safety.

What an engagement looks like

Start with a free evaluation.

A top-level pass over your codebase and a 30-minute conversation about what we saw. No charge, no obligation.