Replit gives professionals a secure place to build with AI. Replit Agent already protects your apps as you build by automatically scanning for vulnerabilities, and audits dependencies, before your projects are ever published.
Before coding agents, a full pre-launch security review meant additional weeks of back-and-forth: coordinating with security engineers, reviewing reports, and manually fixing issues.
Today, we are introducing Replit Security Agent, which lets you you complete a comprehensive security review of your app in under an hour. Security Agent acts on a customizable threat modeling plan to review your entire codebase. It also uses a unique hybrid approach, leveraging Semgrep and HoundDog.ai as tools to improve the accuracy of its findings.
Daghan Atlas, Head of Product at Semgrep, shares: “The most effective security is the kind that works seamlessly. Replit's Security Agent is a great example of what's possible when you pair the contextual reasoning of LLMs with the determinism and program analysis capabilities of Semgrep. We're excited to see this combination in the hands of Replit's massive builder community.”
As Replit projects exponentially grow in complexity, and are increasingly built by teams of individuals, we’ve found that there’s massive merit to having AI do one-time, focused security audit of your application’s code.
We've also found that static code analysis tools become much more valuable when used as tools by AI agents. Recent research shows that LLM-based agents can identify up to 93.3% of false positives from deterministic static application security testing (SAST) tools (Xiong & Zhang, 2026; see also our whitepaper). Our observed results are in line with those findings.
To start a scan by Security Agent, go to your project’s Security panel, and choose “Run Scan with Agent”.

Once you start a scan, Security Agent performs a full review of your codebase. It maps your architecture, builds a threat model, analyzes routes and APIs, and checks for vulnerabilities like SQL injection, cross-site scripting, and request forgery. It also verifies whether those issues are exploitable in production.
For larger projects, this deep audit can take up to 15 minutes to ensure a thorough assessment across a wide range of potential threats.

After the review, Security Agent generates a report of identified risks. You can review the findings, ignore or revise them as needed, and then pass the approved issues to Replit Agent for remediation.
To speed up resolution, Security Agent automatically organizes vulnerabilities into separate tasks, enabling parallel fixes.

Once patches are ready, you may review proposed fixes before applying them back to your project’s main branch. Once changes are applied, your project’s Security pane will reflect vulnerabilities as addressed, but pending republish. You should always republish to ensure your production application is secure.
Once you’ve republished, you’ll see vulnerabilities as resolved. We recommend running a scan with the Security Agent every time you publish major changes to your app.

Keep vibe coding safely, even more security controls are coming for your projects soon.
References
Feng, D. (2026). How Replit Secures AI-Generated Code [white paper]. Replit. https://blog.replit.com/securing-ai-generated-code
Xiong, Y., & Zhang, T. (2026). Sifting the Noise: A Comparative Study of LLM Agents in Vulnerability False Positive Filtering. arXiv preprint arXiv:2601.22952. https://arxiv.org/abs/2601.22952



