The rise of AI-powered coding platforms like Lovable has been nothing short of revolutionary. The ability to describe an idea and have a functioning application generated in minutes feels like magic. It has democratised software creation, allowing founders and creatives to build without needing years of coding experience.
However, this speed and convenience bring a critical question to the forefront: Is your Lovable application actually secure?
The Reality of AI-Generated Code
AI coding engines are incredible tools, but they operate by predicting patterns based on vast amounts of training data, often sourced from public repositories like GitHub. While this allows them to build functional features quickly, it also means they can replicate common security mistakes found in that data.
Research and recent reports have highlighted that AI-generated code can often introduce vulnerabilities. For instance, code generated by AI may lack essential security controls such as input validation or proper authentication checks. This is not because the AI is malicious, but because it is prioritising functionality and speed over the complex, often invisible requirements of cyber security.
Real-World Risks for Lovable Users
Recent events have shattered the illusion that AI-generated apps are secure by default such as Linkable and Job Board Apps both built in Loveable and both hacked. Vulnerabilities in Lovable-generated applications have led to significant exposure for hundreds of businesses. A critical vulnerability identified as CVE-2025-48757 exposed over 170 Lovable applications due to misconfigured Row Level Security (RLS). This allowed attackers to access sensitive databases without authorisation.
Common Vulnerabilities in Rapid-Build Apps
It is vital to understand that these are not isolated incidents but symptoms of a broader issue with rapid app generation. Common vulnerabilities found in these environments include:
- Missing Row Level Security (RLS)
- Exposed API Keys
- Public Admin Routes
- Insecure Data Storage
- Lack of Input Validation
Why There Is No “Lovable for Cyber Security”
You might wonder, “If AI can build my app, why can’t AI just secure it?” The answer lies in complexity.
Lovable exists because code follows logical patterns that AI can predict and replicate. Cyber security, however, is dynamic and adversarial. It involves protecting:
- Your Code and Database: Ensuring intricate policies like Supabase RLS are practically unbreakable.
- Your Infrastructure: Securing domains, DNS records, and cloud environments.
- Your People and Devices: Protecting laptops, email accounts, and ensuring staff are trained to spot phishing attacks.
- Your Supply Chain: Managing the risks introduced by third-party vendors and plugins.
There is no “one-click” AI solution for cyber security because security is not a product—it is a process. It requires understanding context, anticipating human behaviour, and securing over 100 different items across your entire business ecosystem, not just the code. Relying on a single platform to handle your cyber security is like asking your software developer to also manage your HR, legal, and tax returns.
How Vertex Can Help
If you are building the next big thing on Lovable, you should not stop using it, but you must secure it.
At Vertex, we have expert penetration testers and cyber security professionals who understand the specific technologies Lovable relies on such as
- Supabase RLS policies are correctly enforcing data privacy.
- Edge Functions are properly validating user permissions.
- API Keys are stored securely and not exposed to the public.
Reach out if you want to discuss options to secure your Lovable App.