The team at Constructive has unveiled a groundbreaking secure Postgres platform, designed to enhance backend security in an age increasingly dominated by AI-generated software. This innovative platform introduces Row-Level Security (RLS) at the moment of table creation, ensuring that security measures are integrated from the outset, thereby preventing a range of potential misconfigurations that could lead to vulnerabilities.
Constructive’s announcement comes on the heels of achieving over 100 million npm downloads for its open-source developer tools. This milestone coincides with the growing prominence of Postgres as the preferred database for modern applications, including those supporting OpenAI’s infrastructure, which caters to an impressive 800 million users monthly.
Three Forces Converging
The launch of this platform is timely, aligning with three significant trends in the tech industry:
- Postgres as the default database: Even before the rise of AI-assisted development, Postgres was already the backend of choice for numerous production platforms. Applications like Lovable, Bolt, and Replit can now generate production-ready Postgres databases in mere seconds.
- AI-assisted development’s dual impact: While the speed of development has increased, so too have the associated risks. The recent Moltbook incident highlighted how misconfigured RLS led to the exposure of millions of API keys and credentials, underscoring the need for robust security measures.
- The challenge of human oversight: As software development accelerates beyond our ability to thoroughly test and inspect, traditional methods of ensuring security—such as human review—become inadequate. In this new landscape, trust must shift from authorship to verifiable guarantees of security.
Dan Lynch, Founder and CEO of Constructive, emphasized this shift, stating, “We trusted software when it moved at human speed—slow enough for developers to inspect every line. AI makes that model obsolete. When human review becomes the bottleneck, security can’t be an afterthought—it has to be baked into the architecture.”
A Trust Layer for AI-Generated Backends
Constructive’s platform introduces a novel trust layer for AI-generated backends, establishing enterprise database infrastructure that prioritizes security by design. It inherently represents organizational structures, roles, and user profiles, ensuring consistent policy enforcement across all collaborators, services, and AI agents. This approach positions the database layer as the definitive source of truth.
In the default workflow, teams select an access model, and a compiler generates tables with the specified policies applied at creation. This proactive approach eliminates the need for manual RLS configurations after the fact. As schemas evolve, deterministic migrations ensure that outputs remain consistent and verifiable. Moreover, authorization processes are fully testable, with CI/CD pipelines validating RLS to transform traditionally opaque security logic into transparent, verifiable code. The platform also features a built-in, language-agnostic serverless execution layer, allowing functions written in various programming languages to automatically inherit the same database-enforced permission model.
Built on Production Infrastructure
Constructive’s extensive open-source tooling operates beneath the application layer, within the abstract syntax tree—the structural representation of software where behavior and safety are encoded as enforceable semantics. This foundational level enables the deterministic application of security and functionality across databases, APIs, and application frameworks.
Lynch remarked, “Abstract syntax trees are the structural DNA of software. By operating at that layer, we can define and propagate security deterministically—before applications are written and long before they run.” This infrastructure is already embedded within the modern Postgres ecosystem, with core parsing technology utilized by platforms such as Supabase and Neon.
Proven at Scale
With a decade of experience working with RLS, Lynch previously led Brandcast, a company supported by Marc Benioff that served Fortune 500 clients before its acquisition by TIME. Now, he is leveraging this enterprise experience to enhance open-source database tooling, which is currently operational across over 10 million databases at companies like Supabase and Databricks. Constructive’s download numbers have seen remarkable growth, tripling from 32 million to over 100 million in just 18 months.
Availability
Constructive’s secure Postgres platform is now available in commercial private beta. Enterprise teams interested in early access can visit constructive.io to request access.
