TriNetra Platform · Offensive Testing
Works like a dev. Thinks like a hacker.
Code Security runs Semgrep and CodeQL rulesets, plus SCA, across every commit — then does what neither tool does alone: reasons about your actual data flow to decide what's noise and what's a real path from input to sink. This week's account: 1,204 raw findings in, 6 escalated to a human.
The problem
Most code now ships with AI's help, at a volume legacy SAST and SCA tools were never built to triage. Their answer is to flag everything a rule could theoretically match — which is how a team ends up with over a thousand alerts in a week and no time to work through them. When every alert cries wolf, the two or three that are genuinely exploitable get lost in the same queue as the 1,198 that aren't, and nobody notices until the real one ships.
How Code Security answers it
Code Security's own dashboard leads with this week's funnel: every commit and PR is scanned the moment it lands, each flagged pattern is checked against the code's actual data flow before it's treated as real, and only what survives goes to a human reviewer. Every escalated finding carries an expandable reasoning trace — the exact data-flow path from tainted input to vulnerable sink — so a reviewer checks the reasoning, not an AI's word for it. Findings filtered out aren't silently deleted either; they're recorded with their reasoning attached.
How it actually works
The reasoning is the product.
Every escalated finding carries the data-flow path from tainted input to vulnerable sink — a reviewer checks the reasoning, not an AI's word for it.
Escalated finding — reasoning trace
inputvalidate()sanitize() [bypassed]executeQuery() [sink]A human reviews the reasoning — 1,204 raw → 6 escalated this week, trace attached to every call.
The funnel, not a marketing claim
The shrinkage is the product.
Semgrep and CodeQL rulesets, plus SCA dependency scanning, run across every commit and PR the moment code lands — full, unfiltered tool output.
Each flagged pattern is checked against the code's actual data flow — is the tainted input actually reachable, does it actually reach the vulnerable sink — before anything is treated as real.
What survives context triage goes to a human security reviewer for final confirmation before it reaches your team as an actionable finding.
Illustrative reasoning trace — not a captured screenshot
inputvalidate()sanitize() [bypassed]executeQuery() [sink]Capabilities
What ships in the box.
Named tools, not a black box
97.4% noise filtered, every week
Expandable reasoning trace
Noise stays on the record
Human-in-the-loop on the six that matter
Works with
Stronger together.
FAQ
Common questions.
Running the rulesets is the easy part — 1,204 raw findings is what you'd get on your own. The triage layer is the product: it reasons over your actual data flow to cut that down to 31 candidates and escalate only 6, with the reasoning shown for every decision.
Cut the noise. Keep the six that matter.
Connect a repo and watch the funnel run against your own codebase — 1,204 raw in, single digits escalated out, reasoning shown at every step. SecurityBoat will walk you through it on your own scope.
Related: Continuous Testing · AI Red Teaming · Ish