TL;DR
AI is writing code faster than ever — and introducing vulnerabilities just as fast.
Snyk Studio embeds security guardrails inside AI assistants like Cursor, Copilot, and Claude.
Combines real-time prevention with AI-powered remediation to crush security debt.
Labelbox used it to erase years of vulnerabilities in weeks.
The Double Threat
AI has supercharged development speed — but also the speed of risk.
Developers now push code at machine pace while orgs still manage security debt with manual, legacy processes. The gap between innovation and protection keeps widening.
Enter Snyk Studio — purpose-built for the AI-native era. It doesn’t just find vulnerabilities. It prevents them from being written.
What Makes It Different
Unlike bolt-on scanners, Snyk Studio lives directly in your coding flow.
Security becomes background noise — not friction.
🧠 Secure at Inception
AI code assistants are brilliant… and risky.
Snyk Studio applies real-time guardrails that intercept insecure code suggestions before you accept them.
Your AI helper automatically respects your org’s security policies — consistent, compliant, and fast across Cursor, Copilot, Claude, and more.
⚙️ Intelligent Remediation
Legacy security debt? Gone.
Snyk Studio adds conversational AI remediation: explain an issue in natural language, and it proposes, tests, and rescans the fix — right in your IDE.
👉 Labelbox used this workflow to collapse a two-year backlog in three weeks.
Why It Matters for Open Source Security (SCA)
Open source is every team’s foundation — and its biggest attack surface.
Snyk Studio merges AI-generated code security with open source dependency scanning to give you:
⚡ Speed: AI-accelerated remediation powered by Snyk’s SCA engine.
🧩 Validation: MCP rescans confirm every fix works — no guesswork.
🧍♂️ Scale: Clear massive backlogs without massive teams.
Finally, SCA that runs at AI speed.
Inside the Engine
Built on Snyk Code (SAST) + Snyk Open Source (SCA) — both leaders in Gartner, Forrester, and G2.
The Studio delivers real-time scanning and trusted fixes at double the speed of traditional tools.
Key features:
✅ Real-time scanning of code + dependencies
✅ Conversational AI remediation
✅ Local MCP server (no hosted data)
✅ Integration with Cursor, Copilot, Claude
✅ Enterprise rollout via endpoint tools (like JAMF)
✅ Secure-at-Inception scanning for AI-generated code
Shift-Left 2.0
Old shift-left: catch vulnerabilities earlier.
Shift-Left 2.0: don’t let them exist.
Snyk Studio unites:
🧱 Prevention at code inception
🚀 AI-speed remediation for legacy issues
🔐 Policy enforcement across all AI tools
Devs keep their flow. Security teams get visibility. Everyone wins.
Real-World Impact: Labelbox
Labelbox faced a two-year backlog of high-severity vulnerabilities.
With Snyk Studio + Cursor, they resolved it in under a month — using conversational workflows, auto-rescans, and MCP validation.
This wasn’t a patch sprint. It was a total reset.
👉 Read the full Labelbox case study →
Try It Yourself
Snyk Studio is live now. Here’s how to start:
🧠 Integrate with Cursor, Copilot, or Claude
🏢 Roll out org-wide via endpoint tools like JAMF
📚 Explore Secure at Inception for AI and Snyk Studio docs
Why This Matters
AI-driven development isn’t slowing down.
The question is whether your security can keep up.
Snyk Studio flips the script: prevent first, remediate fast, scale without friction.
For AppSec, this isn’t just “shift-left” — it’s build right.
⚡ Try This Week
Test Secure-at-Inception (Early Access) in your IDE.
Launch the local MCP server and scan AI-generated code in real-time.
Run conversational remediation on 2–3 vulnerabilities.
Audit your AI coding tools for blind spots.
Read the Labelbox case study for inspiration.
Next issue: AI-Powered Secure Coding Agents — how they’re reshaping DevSecOps.
