Snyk DeepCode

AI-powered code security scanner

Security & Safety Enterprise Has API
Researched · Published
RECATOOLS Score
7.7 / 10
Capability
8
Value for money
6
Ease of use
8
ASEAN readiness
6
API quality
8
Founded
2015
HQ
London, UK
Users
Launched
Developer

Overview

Snyk DeepCode AI Fix uses ML-trained models to detect vulnerabilities in source code and propose specific fixes (not just generic advice). Integrates with Snyk's broader SAST product line. Used by enterprises across regulated industries.

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Use cases

Code security scanning Vulnerability auto-fix SAST
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ASEAN Perspective

Snyk DeepCode in Southeast Asia

ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).

RECATOOLS Verdict

Snyk DeepCode AI is the machine-learning engine behind Snyk Code's static application security testing, trained on large volumes of open-source code to deliver fast, low-false-positive vulnerability detection plus AI-generated fix suggestions (DeepCode Fix / autofix). Integrated into the broader Snyk platform alongside SCA, container and IaC scanning, it brings security into the developer workflow effectively.

It suits engineering and AppSec teams wanting in-IDE and CI/CD security with actionable, auto-fixable findings. Caveats: full value comes from the paid Snyk platform, and pricing scales with contributors and projects; it is best as part of the Snyk ecosystem rather than a standalone scanner. As global English SaaS there is no SEA-specific support, though it is widely available regionally. Developer integrations, IDE plugins and API/CLI tooling are mature and well-documented.

Independent AI-assisted assessment by RECATOOLS.

About this listing

Researched on
Published on

This entry was compiled from publicly available data including Snyk DeepCode's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Snyk DeepCode unless explicitly stated.

Data accuracy

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