Ask, Analyze, Act with Anya: Agentic AI for ASPM That Gets You

In today’s complex, multi-tool security environments, the sheer volume of findings from infrastructure and cloud to containers and code can overwhelm even the most experienced security teams. ArmorCode’s AI-powered ASPM Platform already brings order to this chaos through unified vulnerability management, adaptive risk scoring, and customizable dashboards.

Now, we’ve introduced Anya, ArmorCode’s agentic AI built to go further. Anya is powered by advanced Large Language Model (LLM) technology and engineered for maximum productivity across all levels of an organization.

Anya is a context-aware AI with a deep understanding of security posture, regulatory frameworks, code dependencies, and the real-world urgency of unpatched vulnerabilities. Whether you’re mapping organizational risk as a CISO or pinpointing a critical code fix as a developer, Anya equips you with high-fidelity, context-aware insights when you need them.

Laying the Groundwork: ArmorCode’s Proven AI Capabilities

Before we delve into Anya’s specific capabilities, it’s important to understand the strong foundation of AI already present within the ArmorCode ASPM Platform. Backed by 25+ billion findings, more than 285 integrations, and supporting 175,000+ security professionals and developers, our ASPM Platform delivers real, measurable value through existing AI-powered features:

• AI Correlation: Fuses SAST, DAST, and manual penetration‑test findings into a single canonical record, slashing duplicate noise and sharpening prioritization.
• AI Remediation: A custom‑trained LLM delivers ranked, code‑level fixes and context links, cutting mean-time-to-remediation (MTTR) by up to 50%.
  
• Penetration Testing Management Module:  Ingests unstructured PDF reports, normalizes them, and merges results with automated scanner output so nothing slips through the cracks.

Introducing Anya – Your Virtual Security Champion

Built on top of ArmorCode’s strong AI foundation, Anya acts as a virtual security champion for every team. Here’s what Anya can help you with:

1. Conversational Interactions

Anya serves as a natural language interface for ArmorCode’s extensive security and compliance datasets. Rather than navigating multiple dashboards or widgets, you can simply ask:

“Which open critical vulnerabilities affect our microservices that handle payment data?”

Anya immediately responds with prioritized findings, including recommended steps to address them. This frees teams from manual rummaging and opens the door to rapid, data-driven decisions, enabling faster remediation.

2. Intelligent Vulnerability Insights

Behind the scenes, Anya correlates billions of data points to pinpoint the most critical threats, factoring in asset criticality, real-time threat intelligence, and compliance requirements. Powered by advanced LLM-driven intelligence, Anya doesn’t simply list issues—she is purpose-built to proactively anticipate and alert you to vulnerabilities with the potential to escalate into serious incidents.

3. Real-Time Security Recommendations

Anya proactively recommends risk mitigation strategies, patching schedules, and impact assessments—adapted to your environment. By understanding each user’s history and context, she delivers guidance specific to your system, frameworks, and operational constraints.

4. Automated Actions

Anya transcends advisory roles, proactively orchestrating security workflows. Imagine effortlessly automating comprehensive vulnerability triage, dynamically coordinating patch management across distributed teams, or seamlessly initiating contextual communication loops with stakeholders, all in one conversational interface. Leveraging MCP, Anya can autonomously create and update Jira tickets, coordinate incident responses, and intelligently trigger security pipeline integrations, ensuring you’re always a step ahead in threat mitigation.

How ArmorCode’s Agentic AI Keeps Your Data Private and Secure

Anya learns from your personal interaction history—never from other users, ensuring complete data isolation, security, and privacy. There’s no cross-user data sharing—every question, preference, and context you provide stays securely within your domain. This is made possible through:

1. Per-user memory: Your usage refines the AI for your account alone.
   
2. Strict isolation: No user can access or even influence another user’s queries, findings, or context.
3. Regulatory compliance: Built to meet GDPR, CCPA, and other data privacy standards with encryption at rest and in transit via AWS infrastructure.
   
4. RBAC: Role-based access controls limit who can see and act on different types of data.

This robust framework, coupled with logged and audited interactions for accountability, ensures uncompromised data integrity and security while delivering a tailored user experience.

From Query to Action: How Anya Adapts to You

ArmorCode’s agentic AI adapts to your workflow and your role instantly. From CISOs to developers, she delivers the right level of insight in the correct format, exactly when you need it.

1. Ask Your Question
   • A security leader might ask: “Give me the top vulnerabilities in the staging environment affecting public-facing APIs.”
     
2. Instant Analysis
   
   • Anya parses the query using domain-trained NLP, fetches data from relevant repositories, and prioritizes results.
3. Role-Based Output
   
   • Anya delivers insights that adapt to a person’s role, whether you are a CISO, AppSec leader, engineer, or developer. For example, CISOs gain immediate visibility into business risk and policy posture without drowning in dashboards, while security leaders quickly identify bottlenecks, emerging risks, and potential misalignments across teams.
4. Actionable Insights
   
   • Recommended next steps (e.g., patching instructions, compliance checks, or developer tickets) are automatically displayed, with options to integrate into ticketing workflows.
5. Automated Ticket Creation
   
   • Anya can automatically create and assign tickets based on vulnerability analysis, complete with prioritized severity, reproduction steps, and remediation guidance, ensuring immediate developer action.
     

In short, your risk posture is elevated by real-time insights, ensuring the depth and format of information perfectly align with your role, from C-level overviews to line-level code details.

Technical Foundations

Anya’s core AI capabilities run on Sonnet 3.5 v2 through AWS Bedrock, leveraging advanced techniques that push beyond simple query‑response interactions:

• Retrieval‑Augmented Generation (RAG): Anya dynamically pulls in the most relevant security data (e.g., vulnerability databases, compliance documents, contextual user info) to ground its responses. This ensures high‑fidelity and up‑to‑date answers, reducing the risk of hallucinated or outdated information.
  
• Model Context Protocol (MCP): A standardized interface that allows Anya to invoke external tools and services in a uniform, secure manner. MCP turns Anya from an advisor into an actor, all while respecting RBAC and audit requirements.
  
• Domain‑Specific knowledge layer: We have enriched her with internal security ontologies and metadata so that she understands the nuances of vulnerabilities, compliance mandates, and risk scoring, right out of the box.
  
• Orchestration & role‑based isolation: Depending on your role and permissions within ArmorCode, Anya limits which data she retrieves and how she responds. This ensures that CISOs get a bird’s eye view while engineers can drill down into code details, without revealing sensitive information across user boundaries.
  
• Scalable architecture & continuous learning: Multiple compute nodes handle high‑volume interactions concurrently. Each user’s queries further refine the personalization, but only within that user’s private data context—reinforcing strict privacy protocols.

By combining these advanced AI mechanisms with robust engineering, ArmorCode’s agentic AI delivers a seamless conversational workflow that remains deeply contextual, secure, and responsive to evolving threat landscapes.

Put a Virtual Security Champion on Your Team

Anya’s journey is just beginning. Looking ahead, expect a wave of powerful innovations—from predictive analytics that surface vulnerabilities before they escalate to immersive conversation modes that learn from past interactions to end-to-end automation of everything from ticket creation to risk scoring. With ongoing enhancements in persona-driven intelligence and expanded data coverage, Anya will continue evolving—smarter, faster, and even more in tune with your needs.

Today, Anya is already reshaping cybersecurity. By translating natural language into real-time, context-rich security insights, she empowers teams across roles to make faster, smarter decisions and scale vulnerability management with confidence.

Ready to see what Anya can do? Request a demo to experience how ArmorCode’s virtual security champion can elevate your AppSec strategy—securely, intelligently, and in real-time.