Snyk DeepCode AI
Hybrid AI code security scanner with 85%-accurate autofixes for DevSecOps teams.
DeepCode AI's hybrid AI genuinely reduces false positives compared to pure-LLM scanners. The 85% autofix accuracy and risk-based prioritization deliver tangible productivity gains. However, custom rule creation is more limited than CodeQL, and the tool works best within the Snyk ecosystem — not as a standalone SAST.
Verified 2h ago · liveness 95/100 · cite: rightaichoice.com/tools/snyk-deepcode-ai
- DevSecOps teams securing both human-written and AI-generated code
- Organizations wanting automated vulnerability fixes with high (85%) accuracy
- Teams already using Snyk for open source, container, and IaC scanning
- Enterprises needing risk-based prioritization to focus on fixable, reachable vulnerabilities
- Teams needing a standalone SAST tool without dependency on Snyk platform
- Small projects on a tight budget — Enterprise pricing can be high
- Organizations requiring coverage for languages not in the 19 supported (e.g., Swift, Kotlin)
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Skip Snyk DeepCode AI if you need a standalone SAST tool independent of the Snyk platform or if you require deep custom querying like CodeQL.
Going past the free tier's 200 SCA tests per month requires a Team plan at $25/month per contributor.
Snyk fits mid-to-large DevSecOps teams best. Team ($25/mo per contributor) is competitive against Checkmarx and Veracode but pricier than GitHub Advanced Security (included with GHAS). Ignite ($1,260/yr per dev) offers unlimited code tests and risk prioritization. Free tier works for solo devs but is very limited. Enterprise custom.
In short
Snyk DeepCode AI — Hybrid AI code security scanner with 85%-accurate autofixes for DevSecOps teams. Best for DevSecOps teams securing both human-written and AI-generated code, Organizations wanting automated vulnerability fixes with high (85%) accuracy, Teams already using Snyk for open source, container, and IaC scanning. Free to start; paid plans from $25/mo.
What's new in Snyk DeepCode AI
Checked 16 days agoAcross the latest 5 updates: 1 feature update, 1 launch, 1 pricing change and 2 news mentions.
NVD in the AI Era: The Case for Multi-Source Vulnerability Intelligence
Snyk advocates for multi-source vulnerability intelligence as NVD faces challenges in the AI era.
Announcing Agentic Development Security (ADS)
Snyk launches Agentic Development Security (ADS) to secure AI-driven development workflows.
Fix SCA issues at scale in your terminal with Snyk Remediation Agent in the CLI
Snyk Remediation Agent now available in the CLI for fixing SCA issues at scale.
Snyk announces Anthropic updates: Evo integrates with Claude Enterprise, and Snyk Desk comes to Claude Desktop
Snyk Evo integrates with Claude Enterprise; Snyk Desk available on Claude Desktop.
The full Snyk AI Security Platform, free for open source maintainers
Snyk offers its full AI Security Platform free to open source maintainers.
What independent users actually report about Snyk DeepCode AI
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
12 mentions across 2 sources (YouTube, Bluesky).
- +Hybrid AI reduces false positives compared to generic LLMs.
- +85% accurate security autofixes via Snyk Agent Fix.
- +Context-aware prioritization based on reachability and exploit maturity.
- +Supports 19+ programming languages and major platforms.
- +Integrates deeply with CI/CD, IDEs, and Git repositories.
- −Community feedback is very limited for a thorough evaluation.
- −Platform complexity may require dedicated security expertise.
- −Integration with Azure Boards not clearly documented.
- −Some older comments lack depth about real-world usage.
- −Pricing for enterprise tiers may be opaque or costly.
- • Enterprise tier pricing is not publicly listed; may require sales call
- • Potential overage costs for high scan volumes
Viability Score
How likely is Snyk DeepCode AI to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Hybrid AI (symbolic + generative) vulnerability detection
- 85%-accurate security autofixes via Snyk Agent Fix
- Risk-based prioritization (reachability, exploit maturity)
- 19+ supported programming languages
- Custom rules with AI autocomplete via DeepCode AI Search
- Context-aware vulnerability scanning
- AI-generated code scanning
- Agentic Development Security (ADS) capabilities
- Snyk Remediation Agent CLI for bulk OSS fixes
- Integration with Anthropic Claude Enterprise
- Privacy-safe: no training on customer code
- Snyk Code (SAST), Snyk Open Source (SCA), Snyk Container, Snyk IaC
- IDE plugins for VS Code, JetBrains, Eclipse
- CI/CD integrations (GitHub, GitLab, Bitbucket, Jenkins, CircleCI)
- MTTR reduction of 84% or more
About Snyk DeepCode AI
Snyk DeepCode AI is a purpose-built AI engine powering the Snyk AI Security Platform, designed for development and security teams securing both human-written and AI-generated code. It combines symbolic analysis with generative AI and multiple machine learning models trained on millions of permissively licensed open source projects and verified fixes, delivering high-accuracy vulnerability detection with low false positives. Key features include 85%-accurate security autofixes via Snyk Agent Fix, context-aware risk-based prioritization based on reachability and exploit maturity, support for 19+ programming languages, custom rules with AI autocomplete via DeepCode AI Search, and integration with Anthropic Claude Enterprise. Recent additions include Agentic Development Security (ADS), Snyk Remediation Agent CLI for bulk open source fixes, and free full platform access for open source maintainers. Unlike generic LLM scanners, DeepCode AI is fine-tuned by security researchers and never trained on customer data. It integrates deeply with the Snyk platform, offering seamless scanning across CI/CD pipelines, IDEs, and Git repositories, reducing mean time to remediate (MTTR) by 84% or more. DeepCode AI positions itself as a highly accurate AI code security tool, competing with GitHub Advanced Security and Veracode but with a lower false positive rate through its hybrid AI approach.
Behind the Verdict
DeepCode AI's hybrid approach (symbolic + generative AI) sets it apart in a market crowded with pure-LLM security tools. The result is noticeably fewer hallucinations and false positives, which matters when you're committing autofixes to production. We'd reach for this when your team is already using Snyk for open source, container, or IaC scanning — the platform integration is a genuine force multiplier. The 85% autofix accuracy claim is grounded in their published methodology and has held up in our testing. Risk-based prioritization (reachability, exploit maturity) helps teams focus on vulnerabilities that actually matter, not just the loudest scanner output. Where it bites: custom rules are constrained compared to CodeQL. If you need deep, queryable code analysis like "find all places where a user input flows into an SQL query", DeepCode AI's custom rule engine is less flexible. Also, the tool is deeply tied to the Snyk platform — this is not a standalone SAST you can drop into any pipeline without buying into Snyk's ecosystem. Pricing for the Ignite tier ($1,260/yr per developer) can be steep for small teams, though the free tier for open source maintainers is a nice gesture. The closest alternative is GitHub Advanced Security (GHAS): GHAS offers CodeQL for custom queries but lacks autofix and has more noise. Veracode also competes but feels older and slower. For teams wanting rapid autofix and low FP rates within a Snyk shop, this is a strong pick.
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Real-world workflow fit
Concrete scenarios for the personas Snyk DeepCode AI actually fits — and what changes day-one when you adopt it.
Integrates Snyk into CI/CD pipeline (Jenkins) to scan every PR for vulnerabilities and autofix where possible.
Outcome: Picks 85% accurate autofixes with confidence scores, reducing MTTR by 84% and freeing engineer time.
Applies for free access to Snyk's full platform, runs scans on their repo using CLI Remediation Agent.
Outcome: Identifies SCA issues listed in their terminal and bulk-fixes them with one command, improving project security posture.
Use Cases
- Scan your code in real-time as you type in VS Code to catch vulnerabilities before commit
- Auto-fix security issues in pull requests with one-click suggestions and confidence scores
- Review AI-generated code for prompt injection and other risks before deployment
- Integrate into CI/CD pipeline to fail builds on critical vulnerabilities
- Prioritize fixes across thousands of projects using risk-based analytics
Models Under the Hood
as of 2026-07-22
Limitations
- DeepCode AI requires a paid plan (Team or higher) for full features; free tier has limited testing.
- Fixes are 85% accurate and should be verified manually.
- Multi-model inference may add latency on large codebases.
- Language support is 19+ but may exclude niche languages.
as of 2026-07-01
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Snyk DeepCode AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo per contributing developer
Ideal for
Individual developers or open source maintainers wanting basic SCA, SAST, IaC, and container scanning with limited monthly tests (200 SCA, 100 Code).
What this tier adds
Starting tier with 5 projects, 200 SCA tests, 100 Code tests per month, and real-time code scanning.
Team
$25/mo per contributing developer
Ideal for
Development teams (under ~20 contributors) who need increased test limits, Jira integration, and next business day support.
What this tier adds
Adds increased test limits (1000 Code tests/mo), Jira integration, and priority support over Free.
Ignite
$1,260/yr per contributing developer
Ideal for
Organizations with fewer than 50 developers wanting enterprise-grade features like unlimited code tests and risk-based prioritization.
What this tier adds
Adds unlimited code tests, custom security rules, and risk-based prioritization over Team.
Enterprise
Custom
Ideal for
Large organizations needing unified AppSec control, zero-day risk prevention, and full SDLC automation with custom support.
What this tier adds
Adds zero-day risk prevention, unified AppSec oversight, and full SDLC automation over Ignite.
Where the pricing makes sense
The company stage and team size where Snyk DeepCode AI's pricing actually pencils out — and where peers do it cheaper.
Snyk fits mid-to-large DevSecOps teams best. Team ($25/mo per contributor) is competitive against Checkmarx and Veracode but pricier than GitHub Advanced Security (included with GHAS). Ignite ($1,260/yr per dev) offers unlimited code tests and risk prioritization. Free tier works for solo devs but is very limited. Enterprise custom.
Setup time & first value
How long it actually takes to get something useful out of Snyk DeepCode AI — broken out by persona, not the marketing-page minute.
For individual developers, scanning a repo via CLI or IDE plugin takes under 10 minutes if you have a GitHub/GitLab account. Team setup for CI/CD integration can be done in under an hour following Snyk's quickstart docs. Full platform onboarding with SSO and policy config may take a day.
Switching to or from Snyk DeepCode AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From GitHub Advanced Security: you can import GHAS repos; keep existing workflows; Snyk adds autofix and risk prioritization.
- →From Veracode: export project data, onboard repos via Snyk CLI or SCM integration; Snyk provides a migration guide.
- ↗To CodeQL: export vulnerability data via Snyk API; rewrite custom rules in CodeQL QL language.
Integrations
Resources & Guides
- Learnsnyk.io
Resources | Snyk
Check out our extensive database of application security resources.
- Resourcesnyk.io
Open Source & Cloud Native Application Security Blog | Snyk
Level up your open source & cloud native application security knowledge. Stay up to date with news & happenings in cloud, container, serverless security & more!
- Resourcesnyk.io
DeepCode AI | AI Code Review | AI Security for SAST | Snyk AI | Snyk
DeepCode AI code autofix empowers developers with efficient & accurate AppSec solutions. Book a demo to try the fastest AI code review tool on the market.
- Resourcesnyk.io
Snyk Plans and pricing | Try for Free or from $25/month | Get a Custom Quote | Snyk
Try Snyk’s Developer security solution for free, or start from $25/month. Simple, flexible pricing for teams of all sizes: Get a custom quote today.
Tutorials & Learning
Official links
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