Vibe coding has changed who writes software. A marketer spins up an internal tool in Lovable, an analyst wires a workflow in n8n, a product manager ships a prototype from Cursor or v0, and an engineer lets an AI agent generate most of a feature. The output works, often impressively, but much of it is produced by people who are not security engineers, using tools that optimize for speed rather than safe defaults, outside any review the security team can see.
That is the gap vibe coding security platforms exist to close. Some scan the code these tools generate for vulnerabilities, some automatically fix it, and some govern the building activity itself: who is using which AI builder and what they are shipping.
The seven platforms, with the layer each one secures and how it fits a vibe coding program:
|
# |
Platform |
Security Layer |
Best Fit |
|
1 |
Pluto Security |
The building activity and AI tools behind the code |
Governing who builds with AI and what they ship |
|
2 |
Aikido Security |
Consolidated code and cloud scanning |
Fast-moving teams wanting one AppSec tool |
|
3 |
Checkmarx |
Enterprise application security testing |
Large orgs with formal AppSec programs |
|
4 |
Corgea |
Detection and fixing of insecure generated code |
Teams drowning in AI-generated vulnerabilities |
|
5 |
Mobb |
Automated vulnerability remediation |
Closing findings fast without manual fixes |
|
6 |
Jit |
Security orchestration in the dev workflow |
Embedding guardrails into developer tooling |
|
7 |
Ox Security |
Application security posture management |
Correlating risk from code to cloud |
Traditional application security assumes trained developers, a known toolchain, and a review process. Vibe coding breaks all three assumptions at once.
Because the risk spans both the generated code and the ungoverned building activity behind it, the strongest programs cover both, which is why this list mixes code-focused tools with platforms that govern the building layer.
Most tools on this list inspect the code vibe coding produces. Pluto Security secures the layer underneath that, the act of building with AI, which most of them never see. Billed as the first agentless workspace security platform for the AI era, Pluto discovers the AI builders employees actually use, including Cursor, Lovable, Replit, v0, Base44, GitHub Copilot, Windsurf, Claude Code, Retool, n8n, Make, and Workato, along with the ecosystem around them: MCP servers, skills, plugins, IDEs, and extensions. Crucially, it inventories what people build with those tools, the apps, agents, and automations that never reach a code review.
That visibility is the foundation for control. Pluto builds an AI security graph that correlates identity, endpoint, and data, so a risky build can be traced to the person, the device, and the data it touches. Session risk scoring flags prompt injection, credential leakage, and data exfiltration as they happen, and real-time guardrails let security teams set limits without blocking AI adoption outright.
Its positioning, enabling CISOs to say yes to AI building rather than banning it, captures why it leads here: vibe coding security is not only about the code, it is about governing the building that produces it.
What it secures: The building layer: which AI tools employees use and what they create with them.
Key capabilities:
Aikido Security consolidates multiple code and cloud security scans, including static analysis, dependency scanning, secrets detection, and surface monitoring, into one platform, with a strong focus on cutting false positives. Its all-in-one, developer-friendly approach has made it popular with startups and fast-moving teams, exactly the kind of teams that lean on vibe coding.
For vibe-coded projects, Aikido is a practical way to catch insecure code, exposed secrets, and risky dependencies without stitching together several tools. Its focus is the output of building, the code and its components, which complements a platform that governs the building activity itself.
What it secures: The generated code, its dependencies, and exposed secrets.
Key capabilities:
Checkmarx is an established enterprise application security platform spanning static analysis, software composition analysis, API security, and more, and it has extended into securing AI-generated code and the use of AI coding assistants within its One platform.
Checkmarx suits large organizations with formal AppSec programs that want vibe-coded output held to the same standards as everything else. The trade-off is that an enterprise suite carries more setup and process than the lightweight tools favored by small vibe coding teams, so it fits where governance and depth matter more than speed of adoption.
What it secures: Application code and dependencies at enterprise scale.
Key capabilities:
Corgea focuses specifically on the problem vibe coding creates: insecure code produced quickly, often by people who cannot fix it themselves. It scans for vulnerabilities in application code and generates fixes, aiming to turn a long list of findings into applied remediations rather than tickets.
Corgea fits teams overwhelmed by the volume of issues that AI-generated code introduces, where the bottleneck is not finding problems but fixing them. Its focus on detection plus remediation of generated code makes it a strong code-layer complement to building-layer governance.
What it secures: Insecure AI-generated code, with fixes rather than just findings.
Key capabilities:
Mobb provides automated, AI-powered vulnerability remediation, taking findings from security scanners and producing verified fixes that developers can review and merge. Rather than add another source of alerts, it works to close the ones teams already have.
Mobb is valuable where vibe coding has created a backlog of unfixed vulnerabilities and the team lacks the security expertise or time to work through it. It sits downstream of detection, so it pairs naturally with scanners and with platforms that govern how code gets built in the first place.
What it secures: The remediation gap: turning findings into verified fixes.
Key capabilities:
Jit orchestrates application security by embedding a curated set of scanning tools and guardrails directly into the developer workflow and CI/CD, presenting results in one place and applying consistent policy. It aims to make security a built-in part of shipping rather than a separate gate.
For vibe coding teams, Jit can bring order to the output of fast, AI-assisted development by enforcing baseline checks automatically. Its orchestration focus means it coordinates code-layer tools, which complements rather than replaces visibility into the building activity behind the code.
What it secures: The developer pipeline, with orchestrated scanning and policy.
Key capabilities:
Ox Security operates at the application security posture management layer, connecting signals across code, pipelines, and cloud to prioritize the risks that actually matter and trace them to their source. It aims to cut through the noise of many disconnected tools.
Ox suits organizations that already run several security tools and need to correlate and prioritize what vibe coding adds to the pile. As an ASPM layer it makes findings actionable across the lifecycle, working best alongside the tools that detect and the platforms that govern building.
What it secures: Posture across code, pipeline, and cloud, correlated and prioritized.
Key capabilities:
Vibe coding does not create one new risk; it opens several at once. Knowing where they enter helps match a platform to the gap.
Code scanners and remediation tools address the first three. The last two, shadow builders and ungoverned connectors, live at the building layer, which is where an agentless platform like Pluto Security earns its place.
The right starting point depends on where your exposure is greatest.
When the core problem is visibility, that employees are building apps and agents with AI tools no one is tracking, start at the building layer. Pluto Security discovers the tools in use and what they produce, then applies guardrails, which is the prerequisite for securing anything you could not previously see.
When the problem is the quality of what is shipped, code-focused tools fit. Consolidated scanners catch insecure code and secrets, while detection-plus-fix tools and automated remediation close findings faster than a small team could by hand.
When the issue is noise and sprawl, orchestration and posture management help. These layers coordinate existing scanners and prioritize what vibe coding adds, so teams act on real risk instead of another dashboard.
When vibe-coded output has to meet the same bar as all other software, an enterprise platform brings the depth and policy to enforce it, ideally paired with building-layer governance so shadow activity is covered too.
Vibe coding security is the practice of protecting software created with AI tools by people who may not be security experts. It spans securing the code these tools generate, such as finding and fixing vulnerabilities and secrets, and governing the building activity itself, meaning which AI builders employees use and what apps, agents, and automations they create.
Pluto Security is the best platform for the layer most tools miss: the building activity behind vibe-coded software. It agentlessly discovers the AI builders employees use, inventories the apps and agents they create, correlates risk across identity, endpoint, and data, and applies real-time guardrails, so security teams can govern AI building rather than only scan the code it produces.
Vibe coding lets non-experts ship working software quickly, so insecure patterns, hard-coded secrets, and unvetted dependencies slip through, and much of what is built never reaches a code review. The speed and invisibility of the process, not the AI alone, are what make it risky, which is why visibility and guardrails matter alongside code scanning.
Scanning helps, but it is not enough on its own. It catches issues in code that reaches a repository or pipeline, yet it misses apps and automations built in SaaS and AI tools that never get there, and the connectors those tools use. Securing vibe coding fully means pairing code scanning with governance of the building activity itself.