Preventing Incidents at Scale: Introducing Apiiro’s AutoFix Agent

AI coding assistants like GitHub Copilot, Cursor, and Gemini Code Assist have transformed software development. Developer productivity has soared. So have the speed and volume of material code changes, code complexity, and risks. But AppSec teams haven’t scaled proportionally – and the resulting surge in design and code risks is unsustainable.

Fortune 500 companies need a completely new way to fix design and code risks – one that eliminates their backlogs and reduces MRR without impacting developer velocity. And in a world where AI generates code, no software should ship without an AI AppSec Agent securing it.

That’s why today, Apiiro is launching an AI Agent built for AppSec: a new kind of agent that automatically fixes design and code risks across the SDLC, using critical, unique data that no other platform has, to tailor fixes to your environment. The result: a force-multiplier for AppSec teams, enabling them to govern AI-generated code, automate fixes of business risks, and prevent incidents at scale.

The New Normal: AI-Driven Software Development and Vibe Coding, Exploding Risk

Recent research shows that up to 50% of AI-generated code contains vulnerabilities – and that 10%  of those vulnerabilities is actively exploitable with real business impact. The core issue: AI code assistants operate without context beyond the code and cannot be governed by existing security tools. As a result, they introduce more vulnerabilities, unvetted technologies, business logic risks, and code that bypass organizational security policies and architectural standards.

Meanwhile, the pace of changes has accelerated, from risky feature requests to risky code changes. But AppSec headcount has remained flat.

Security teams are left overwhelmed. Reviewing every pull request or enforcing policies manually doesn’t scale. Existing AppSec tools – especially traditional SAST/SCA/Secret/DAST scanners – weren’t designed to detect risky material changes and other new types of risks . These siloed tools flood teams with contextless alerts and dashboards, but don’t offer a clear path to resolution.

What’s needed isn’t another place to view problems. It’s a completely new way to fix them.

A Specialized AI Agent for AppSec

Apiiro AutoFix Agent isn’t a general-purpose LLM assistant. It doesn’t make “code-only” generic suggestions based on public training data or frameworks like OWASP Top 10 or CVSS. That kind of advice might pass a basic scanner – but it doesn’t reflect your software architecture, custom security policies, or runtime context. In fact, it often creates more problems than it solves: disrupting production, violating security and compliance policies, or introducing new vulnerabilities.

Why? Because generic autofixes lack a foundational understanding of your environment. They operate in isolation, unaware of your codebase’s business impact, risk acceptance workflows, or compensating controls already in place.

That’s why Apiiro’s AutoFix Agent takes a completely new approach. It acts as a force-multiplier for your AppSec team: scaling their expertise across the development organization to automatically fix design and code risks in real time – with critical, unique data from your software architecture, runtime environment  and security policies.

What enables this?

Apiiro’s AutoFix Agent is powered by proprietary software intelligence:

• Deep Code Analysis (DCA): to discover, inventory, and visualize software architecture across material changes.
• Code-to-Runtime Matching: to connect code assets to its runtime context and assess business impact.
• Risk Policy Graph Engine: to continuously assess, prioritize, and manage risk using signals from DCA, Code-to-Runtime matching , security scanners, and policy sources.

With this data foundation, the agent can take deep, unique and contextual actions:

• Trigger automated threat modeling before a line of code is written
• AutoFix SAST, SCA, secrets, API, and other security findings with critical, unique data that no other platform can deliver
• Automatically decide whether to fix a risk, enforce a guardrail, or trigger an audit-ready risk acceptance workflow

A Real-World Example: AutoFix in Action

Let’s say a developer submits a pull request (PR) that includes a new API endpoint – one that directly accesses sensitive PII but lacks proper input validation. Traditionally, this would require a manual review, and the risk could easily slip through if missed or deprioritized.

Apiiro’s AutoFix Agent detects the change in real time within the IDE. Leveraging Deep Code Analysis (DCA) and Code-to-Runtime Matching to enrich it with more context, it identifies the endpoint’s exposure, assesses exploitability based on runtime data, correlate the code repository with the business application in the CDMB and identifying that its PCI compliance with high business impact, and flags the missing input validation as a critical risk.

Because the Risk Graph has already mapped the organization’s secure coding policies and standards, the agent knows how to respond. It automatically applies the appropriate input validation framework, aligned with the team’s conventions, and surfaces the change for developer review – with an explanation and audit-ready justification.

The result? The developer stays in flow. The risk is fixed. And the application security team focused on other risky areas.

Govern AI-Generated Code, Without Slowing Down Development and Delivery

The agent works directly inside the developer IDE – using a remote Model Context Protocol (MCP) to ensure that real-time analysis happens securely and at scale.

Application Security teams gain an execution engine for policy: one that ensures that all code (including AI-generated code) is governed according to internal policies and standards, compensating controls, and business impact context. Developers get real-time guidance and fixes without slowing down velocity.

This means fewer incidents, fewer manual reviews, and scalable governance for all code (including AI-generated code).

Get Started

Apiiro’s AutoFix Agent is currently available in preview to Apiiro customers. To learn more about how it can help you govern AI-generated code, fix risks across the SDLC, and prevent incidents at scale, get in touch with our team.