ArmorCode, the leading AI-powered Application Security Posture Management (ASPM) platform trusted by over 215,000 security practitioners, introduced a series of transformative updates to its platform. These advancements are designed to help enterprises effectively manage the escalating risks associated with AI-generated code and meet emerging regulatory demands, particularly the upcoming Cyber Resilience Act (CRA).
As organizations increasingly integrate AI into their development workflows, security teams are encountering a surge in risks from insecure logic and unmonitored runtime assets to alert fatigue caused by overwhelming volumes of automated code. To address these challenges head-on, ArmorCode is enhancing its capabilities through Anya, the industry’s first agentic AI virtual security champion, built on a data backbone of over 40 billion findings and integrated with more than 320 security tools.
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Revolutionizing Remediation with Context-Aware AI
One of the most notable enhancements comes in the form of next-generation AI remediation, where Anya merges with AI Code Insights to provide developers with deeply contextual and tailored security fixes. Rather than offering generic patch recommendations, Anya evaluates the specific structure and content of an organization’s codebase to deliver highly relevant, code-specific remediation guidance.
What sets this apart is the natural-language interface, enabling security teams and developers to engage Anya in conversational queries. They can now ask about vulnerabilities, assess potential impacts, and receive step-by-step implementation instructions. This approach has already led to an 80% reduction in Mean Time to Remediation (MTTR), significantly accelerating the path from detection to resolution.
Empowering AI Assistants Through Model Context Protocol (MCP)
To further support secure, AI-assisted development, ArmorCode introduced enhancements to its Model Context Protocol (MCP) Server. This feature creates a standardized interface that allows LLMs such as ChatGPT, Claude, and GitHub Copilot to programmatically access structured security data in real time. By doing so, these AI assistants can provide answers rooted in actual vulnerabilities, risk scores, and remediation workflows pulled directly from ArmorCode’s unified security intelligence.
As a result, developers receive accurate and context-aware security recommendations powered by live data ensuring that AI not only accelerates development but also maintains a robust security posture.
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Strengthening the Software Supply Chain and CRA Compliance
Recognizing the importance of proactive software supply chain management, ArmorCode also introduced powerful updates to its Software Supply Chain Security (SSCS) module. The platform now offers complete visibility into component usage across an organization’s applications, enriching vulnerability data with additional quality, health, and risk indicators.
Additionally, ArmorCode automates the creation of composite software bill of materials (SBOMs) and integrates Vulnerability Exploitability eXchange (VEX) capabilities. These features ensure that companies especially those doing business in Europe can remain compliant with CRA regulations, which require continuous vulnerability disclosure and ongoing security updates throughout the software lifecycle.
ArmorCode’s Vision for Scalable Security in the AI Era
According to Mark Lambert, Chief Product Officer at ArmorCode, “AI code assistants are driving development at unprecedented speeds, but they also introduce an exponential volume of security concerns. Traditional methods can’t keep up. That’s why we’ve embedded AI like Anya deeply into our platform, enabling teams to secure AI-generated code at scale.”
In conclusion, with these new capabilities, ArmorCode empowers organizations to stay ahead of evolving threats, streamline compliance, and ensure security grows in tandem with development speed. As the AI era transforms software creation, ArmorCode is making sure security doesn’t just follow it leads.
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