Automate SAST verification with your AI agent

Detectify lets security teams scale AppSec work with agents they can trust to dynamically prove whether suspected security issues, like SAST findings, are exploitable in your live systems.

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What is SAST verification?

SAST verification is the automated process of testing static security findings against a running application to prove whether they are truly exploitable. Instead of triaging each finding by hand or trusting a theoretical result, teams get evidence of which issues are real, so developers only work on vulnerabilities that matter.

Static analysis says

SQL injection in orders.py

Theoretical

Verification shows

SQL injection in orders.py

Confirmedwith evidence

Your AI agentyour model, your machine

Structured queue
Testability verdicts
Tested payloads
Attack tools
Security Ledger

Agentic Tooling

How does Detectify verify SAST findings?

Rather than relying on theoretical vulnerabilities, Agentic Tooling equips your own agent with a structured queue, testability verdicts, tested payloads, attack tools, and an immutable evidence record in the Security Ledger. Ensuring verified and exploitable findings reach developers, transforming noisy static analysis into validated, actionable security work.

Why SAST verification is hard

1New flags0

2Triaged by hand0

Waiting: 0

Static analysis tools flag code that might be vulnerable

Overwhelming false positives and noise

Detectify customers reported a noise rate of 80% when using AI-powered static findings. Static analysis tools flag code that might be vulnerable, but most of what they flag cannot be exploited in the running application.

Time-consuming triage

Because of the high noise, security teams spend a lot of time triaging SAST backlogs, often manually. Teams also discover that the vast majority pose no real threat, taking time away from more important vulnerabilities and issues.

How to verify SAST findings in 4 steps

Your agent tests each finding on the live app, and Detectify records the evidence

01
Intake
SARIFJSONText
Example: findings.sarif, 6 tickets queued
Intake suspected security issues via SARIF, JSON, or self-reported free-text tickets into a structured Agentic Tooling queue.
02
Triage
- Testable
- Testable
- Not testable
Example: readiness check, 5 testable, 1 not testable
Triage each ticket automatically with a testability verdict to determine what can and should be tested from the outside, with options for manual overrides.
03
Investigate
POST /api/orders
payload 14 of 32200
Example: POST /api/orders, payload 14 of 32
Investigate the reachable code by having your AI agent connect to Detectify's testing tools, running probes against the live attack surface using a real browser and captured traffic.
04
Record
- verdict filed
Example: ledger, 27 records, verdict filed
Record what your agent sends with Detectify's tools in the Security Ledger as it works, then have the agent file a verdict and summary linked to the evidence it rests on.

How Detectify verifies SAST

Four things your agent gets from Detectify that it can’t get on its own

Trusted attack tooling

Detectify provides a repeatable 100% payload-based assessment library tuned over more than ten years, backed by tests from a Crowdsource network of 400+ vetted ethical hackers.

The Security Ledger

As your agent works, Detectify automatically stores everything in a ledger detailing exactly what was sent, where, and how far each probe got. This immutable record uploads as the work happens, guaranteeing reliable proof.

Local agent deployment

The Agentic Tooling runs directly on your side, next to the agent. This bridges the gap between static code and live environments by reaching whatever the agent’s machine can reach, including internal and pre-production applications.

Actionable verdicts

Detectify separates verifiable vulnerabilities from dismissible noise, ensuring only issues backed by hard evidence reach the developers.

FAQs

01Do you have to send Detectify source code?

Detectify Agentic Tooling needs access to your source code within your environment to trace issues to where they are exploited in the running app. However, Detectify does not access or store your codebase; we only receive the final investigation data, ledgers, ticket contents, and request metadata. Note that SAST exports can include code snippets; if you'd rather not share those, you can describe the issues in plain text instead.

02What formats are supported for SAST imports?

Agentic Tooling accepts SAST files in SARIF or JSON formats. Free-text self-reported tickets are also supported.

03Automated verification vs theoretical scans: what is the difference?

Static scans (SAST) flag code that might be vulnerable but generate large amounts of noise. Automated verification actively tests these suspected issues against a live application using Agentic Tooling to prove exploitability, drastically reducing the noise.

04Can the agent test internal or pre-production environments?

Yes. The testing tools run on your side, directly next to your own agent. Detectify’s tooling can reach whatever the agent’s machine can reach, including internal applications and pre-production systems.

05How do you reduce SAST noise?

Test each finding against the running application and keep the ones that reproduce. Many SAST findings are technically correct but can't be exploited in the live app, so a dynamic check with payload-based testing is what separates real issues from noise. With Agentic Tooling, your own AI agent runs that check for every ticket using Detectify's tested attack tooling, and each verdict links to the evidence in the Security Ledger. Findings that can't be tested from the outside are flagged at triage, so nobody wastes time on them. Tuning your SAST rules helps too, but only testing shows what's actually exploitable.

Stop triaging noise and start fixing real vulnerabilities

Give your AI agent Detectify’s tested attack tooling, and get a verdict with evidence for every SAST finding.

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