Your Security Design Enforced in Every Line of AI-Generated Code

With security design and coding rules enforced during code generation, AI-generated code follows how your system is actually built

Works with your AI development stack

No Control Over Security in AI-Generated Code

AI coding tools make it easy to generate features quickly. The code looks clean, passes checks, and moves forward without friction.

But nothing in that process ensures it follows your security design or coding standards. Each feature gets generated differently, without enforced guardrails or consistent decisions.

Over time, access control, data flow, and trust boundaries start to drift, and risk builds quietly across the system.

Security That Doesn’t Stop at Design

Understand your system

Analyze architecture, documentation, and engineering context to build an accurate model of how your system actually works.

Define security design

Generate system-specific threat models, risks, and security decisions based on real services, data flows, and integrations.

Enforce during code generation

Apply security design and coding rules as code is generated, so every feature follows the same decisions from the start.

Generate audit-ready evidence

Map risks and decisions to compliance frameworks and maintain continuous, traceable security documentation.

Compliance Doesn’t Work Without Continuous Evidence

Mapped to: DORA • EU Cyber Resilience Act • PCI DSS • ISO 27001

Frameworks like DORA, PCI DSS, ISO 27001, and the EU Cyber Resilience Act require clear, traceable evidence of how security decisions are made and enforced.

SecurityReview.ai generates that evidence continuously by connecting your system design, risks, and controls, so compliance doesn’t depend on manual documentation or last-minute effort.

Security teams get continuous visibility into risk.
Auditors get provable and traceable controls.

Stop choosing between engineering velocity and regulatory readiness. Get both.

From Security Design to Secure Code Across Every Feature

Step 01

Start with what your teams already produce

Upload or connect your architecture documentation, product specs, engineering tickets, or source code. SecurityReview.ai can analyze inputs from tools like Jira, Confluence, GitHub, Slack, and Google Docs.

Step 02

Build context using live research and your security knowledge base

SecurityReview.ai utilizes live research on the web and combines it with intelligent retrieval of your organization’s security knowledge base to generate well-informed, context-rich artifacts like threat scenarios, data assets, and mitigations.

Step 03

Model the system and identify attack paths

SecurityReview.ai analyzes services, data flows, trust boundaries, and integrations to generate app & system-specific threat scenarios. You see how attackers could move through your architecture and where defenses need to be strengthened.

Step 04

Map risks to controls and compliance frameworks

Threats are mapped to weaknesses, mitigations, and compliance controls such as PCI-DSS, NIST, HIPAA, and DORA. Security reviews become audit-ready documentation automatically.

Step 05

Generate reports for every role

SecurityReview.ai turns each review into clear, role-specific reports for CISOs, developers, and auditors. Security insights remain structured, traceable, and ready to share across teams.

Build Fast Without Breaking Your Security Design

No rework later

Security issues don’t show up after code is written.They’re handled during generation, so fixes don’t pile up across sprints.

No design drift

Access control, data flow, and trust boundaries don’t change from feature to feature.Every part of the system follows the same security decisions from the start.

No blind spots

Risk doesn’t surface weeks later in reviews or audits.It stays visible as systems evolve, tied directly to how features are built.

No bottlenecks

Security doesn’t depend on a few experts or scheduled reviews.Coverage scales with development without slowing teams down.

One System From Design to Code to Compliance.

Understand and define security design

SecurityReview.ai analyzes architecture, documentation, and engineering context to model your system and define the security decisions it depends on.

Enforce during code generation

VibeReview applies those decisions as code is generated, so every feature follows the same rules from the start.

Generate continuous compliance evidence

Every risk, decision, and control is mapped to frameworks, creating audit-ready evidence as systems evolve.

Security That Understands How Your System Actually Works

SecurityReview.ai analyzes your architecture, documentation, and engineering context to understand how your system actually works.

Threat models are generated from real services, data flows, and integrations instead of generic templates or predefined checklists. As systems evolve, the analysis updates continuously, so security decisions stay aligned with how the system is built.

From Reactive Security to Enforced Security

Inclusions

SecurityReview.ai

Enterprise-Ready Deployment

During code generation

Manual reviews and workshops

Continuous system analysis

Generic rules and checklists

System-specific decisions

Findings that require fixes

Issues prevented from entering code

Inconsistent across teams

Consistent across every feature

This isn’t just for security teams

For CISOs

You don’t rely on reviews to maintain control. Security design and coding rules are enforced across every feature as it’s generated, so teams move fast without introducing inconsistency or risk.

For AppSec teams

No need to review everything manually. You define security decisions and coding guardrails once, and they’re applied automatically across developers as features are generated.

For engineering leaders

Your teams move fast without creating rework later. Developers generate code as usual, while security rules are enforced in the background, and delivery stays on track.

Built for enterprise environments

Single Sign-On (SSO)

Role-Based Access Control

On-prem or private cloud deployment

Unlimited security reviews

Built on real
security design review methodology

Methodology developed through hundreds of real-world security architecture reviews.

SecurityReview.ai is based on the methodology used by the we45 security team across hundreds of real-world security design reviews.

Organizations in finance, healthcare, government, and SaaS rely on these practices to analyze complex systems and identify real security risks.

SecurityReview.ai applies the same architecture-driven review methodology used by experienced security architects.

Instead of generic threat lists or black-box AI output, we analyze real system context to generate meaningful security insights.

Abhay Bhargav

Founder of we45 • Security Architect • Author & Trainer

Led hundreds of security architecture reviews across enterprise systems.

Trusted by security teams building modern cloud and enterprise systems.

The tool is simple to use and has been implemented in a very well-thought way. Clearly by folks with a great deal of expertise

Head of Product Security $10b SaaS Company

SecurityReview looks fantastic! I love how it allows us to mimic Human Security Design review practices, but is made so much faster and more comprehensive because of AI

Head of Application Security, Top 50 Bank APAC region

It is going to save my US Federal Government customers a ton of time with SSDF mandates

Leading VAR/MSSP for US Federal Government companies

Don’t Let AI-Generated Code Outpace Your Security Design

FAQ

How is this different from code scanning or AI code reviews?

Those tools look at code after it’s written. SecurityReview.ai applies security decisions while the code is being generated, so issues don’t get introduced in the first place.

How do you ensure AI-generated code follows our security design?

It uses your architecture and system context to define security rules, then applies those rules during code generation. That keeps decisions like access control and data handling consistent across features.

Will this slow down engineering teams?

No. It actually removes rework and reduces back-and-forth with security teams because code already follows expected security rules.

How does this work with our existing AI coding tools?

It integrates with the tools you already use and applies security rules during code generation. There’s no need to replace your current setup.

What kind of visibility do we get into risk?

You can see risks tied to features, decisions, and system components as they evolve, instead of discovering them later in reviews or audits.

How does this help with compliance?

How does this help with compliance?It continuously generates traceable evidence that links risks, controls, and system behavior to compliance requirements. You don’t have to assemble that manually later.

Do we still need threat modeling and design reviews?

Yes, but they’re no longer one-time activities. Threat models update continuously as the system changes, and the decisions get enforced during development.

How accurate is the system understanding?

It builds its analysis from your actual architecture, documentation, and engineering context, not generic templates or predefined rules.

X
X