Apiiro Launches AutoFix AI Agent to Automatically Remediate Code and Design Risks in IDEs

Agentic application security platform Apiiro is debuting AutoFix AI Agent, an industry-first AI agent that automatically fixes design and code risks using runtime context.

Meeting Developers Where They Are Through MCP Connection

The tool operates within a developer’s integrated development environment (IDE) without requiring plug-ins, using a remote Model Context Protocol (MCP) connection. “We’re meeting developers where they are– in their IDEs with deep code-to-runtime context– and giving them the secure path forward without slowing them down,” said Moti Gindi, Chief Product Officer at Apiiro. “It’s about empowering developers to fix risks and not vulnerabilities– in real time, with the runtime context, software architecture, and organization policy.” Apiiro highlights the growth of AI coding assistants like GitHub Copilot, Gemini Code Assist, and Cursor as a key reason for developing this tool. These AI assistants often operate with limited or no context and are not governed by existing security tools, which can introduce vulnerabilities, unvetted technologies, business logic risks, and code that bypasses organizational security policies and architectural standards.

Risks Found in AI-Generated Code

According to the Center for Security and Emerging Technologies (CSET) at Georgetown University, up to 50% of AI code assistants generate code containing vulnerabilities, with about 10% being actively exploitable and having real business impact. CSET states that large language models (LLMs) and other AI systems pose direct and indirect cybersecurity risks by generating insecure code, being vulnerable to attacks and manipulation, and causing downstream cybersecurity impacts such as feedback loops affecting future AI training. “Evaluation benchmarks for code generation models often focus on the models’ ability to produce functional code, but do not assess their ability to generate secure code, which may incentivize a deprioritization of security over functionality during model training,” the report explains.

Tool Built for Scale and Reliability

AutoFix AI Agent scales expertise across development teams by automatically generating threat models for risky feature requests before any code is written. It fixes SAST (Static Application Security Testing), SCA (Software Composition Analysis), secrets, and API security findings. The agent leverages unique runtime context to make precise, risk-based decisions, understanding each organization’s software architecture, security policies, business impact, and risk acceptance lifecycle. This allows it to deliver autofixes aligned with enterprise standards rather than generic solutions. “AI code assistants represent one of the most transformative productivity tools of our lifetime. But by focusing solely on code, they lack context– missing critical signals like security policies and standards, compensating controls, and business risk,” said Idan Plotnik, Co-founder and CEO of Apiiro. “This disconnect introduces significant risk to enterprises, as ungoverned AI coding tools are adopted faster than application security teams can keep up. Our AutoFix AI Agent doesn’t just detect issues– it intelligently fixes them using the same contextual understanding and organizational knowledge that application security and risk management teams rely on to make informed decisions.” The AutoFix AI Agent uses data generated from Apiiro’s platform that maps software architecture across all material changes, powered by Deep Code Analysis (DCA), Code-to-Runtime matching, and the Risk Graph engine. Core capabilities include:

• AutoFix: Automatically fixes design and code risks with runtime context.
• AutoGovern: Enforces policies, standards, and secure coding guardrails automatically.
• AutoManage: Automates risk lifecycle management measurement across the software development lifecycle (SDLC).
“In a world where AI generates code, no software should ship without an AI AppSec agent securing it,” said Plotnik. “We’re enabling security teams to unlock full developer productivity while automatically fixing the most critical risks to the business.”

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Source: Apiiro Launches AutoFix AI to Fix Design and Code Risks on August 4, 2025

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Frequently Asked Questions (FAQ)

What is the AutoFix AI Agent?

The AutoFix AI Agent is an industry-first AI agent developed by Apiiro designed to automatically fix code and design risks within a developer's Integrated Development Environment (IDE).

How does the AutoFix AI Agent work?

It operates directly within the developer's IDE, utilizing a remote Model Context Protocol (MCP) connection. This allows it to access runtime context, software architecture, and organizational policies to make precise, risk-based fixes.

What types of risks can the AutoFix AI Agent address?

The agent can fix Static Application Security Testing (SAST) findings, Software Composition Analysis (SCA) issues, secrets, and API security vulnerabilities.

Why was the AutoFix AI Agent developed?

Apiiro developed this tool in response to the growing use of AI coding assistants, which can sometimes introduce vulnerabilities or bypass organizational security standards due to a lack of context.

What are the potential risks of AI-generated code?

Studies indicate that a significant portion of AI-generated code can contain vulnerabilities, with some being actively exploitable. LLMs can also pose cybersecurity risks by generating insecure code or being susceptible to manipulation.

How does AutoFix AI Agent ensure enterprise standards are met?

By leveraging unique runtime context, the agent understands an organization's specific software architecture, security policies, and business impact, enabling it to deliver autofixes that align with enterprise standards.

What are the core capabilities of the AutoFix AI Agent?

Its core capabilities include AutoFix (automatic risk remediation), AutoGovern (policy enforcement and secure coding guardrails), and AutoManage (automated risk lifecycle management).

Crypto Market AI's Take

The launch of Apiiro's AutoFix AI Agent highlights a crucial trend in software development: the increasing reliance on AI and the parallel need for robust security measures. As AI coding assistants become more prevalent, the potential for introducing vulnerabilities increases. Apiiro's approach of integrating AI for remediation directly into the developer's workflow, using deep code-to-runtime context, is a significant step towards ensuring that the productivity gains from AI do not come at the expense of security. This mirrors the broader landscape in the financial technology sector, where AI is being leveraged for everything from market analysis and trading bots to risk management and fraud detection. Ensuring the security and integrity of these AI systems is paramount, much like Apiiro's focus on securing code development. For insights into how AI is transforming financial markets and the role of AI agents in trading, you can explore our AI Crypto Market Platform - LLM Training Data and learn about our AI-driven Crypto Trading Tools.

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