Navigating the post-Mythos era.
Turning a vulnerability tsunami into enterprise-scale risk reduction.
ArmorCode is redefining security governance in the AI era.
Anthropic’s Claude Mythos has fundamentally changed cybersecurity by uncovering thousands of deep-seated zero-days, and has proven that AI-powered discovery is here, and a massive influx of downstream CVEs is headed straight for your backlog.
Mythos shows it can exploit systems with weak security posture, and it is likely that more models with these capabilities will be developed. This highlights the importance of cybersecurity basics, such as regular application of security updates, robust access controls, security configuration, and comprehensive logging.
ArmorCode ingests and normalises findings from over 350+ native integrations (including traditional scanners and AI engines). It correlates vulnerabilities with your unique infrastructure to transform a flat list of CVEs into a highly accurate, prioritised risk landscape.
What Mythos means for your vulnerability management programme
As Mythos-class tools proliferate, security teams already stretched by traditional scanners will face a tidal wave of new findings. Manual triage and standard ticketing processes will completely break down under this new baseline.
ArmorCode provides a no-code workflow engine that ingests findings, automatically routes them as tickets to the correct developers in their preferred tools (like Jira or GitHub) with full context, tracks SLAs, and runs verification workflows to ensure the patch actually fixed the issue without introducing new risks.
Need a way to prioritise what to fix?
AI models excel at identifying technical severity but what they cannot assess is the specific business context of the organisation they were found in. So, shift from creating lists of severe vulnerabilities to utilising a contextual risk framework that correlates raw data with application architecture, data classification, and asset criticality. Mythos excels at finding how bad a bug is technically, but it doesn’t know where it sits in your business.
ArmorCode uses a Contextual Risk Intelligence Graph to combine raw vulnerability data with your specific business context (e.g., Is it internet-facing? Does it touch customer data?). This filters out the noise so you only fix what actually poses a risk to your organisation.
Why ArmorCode?
Frontier AI models like Claude Mythos have fundamentally changed the threat landscape, collapsing the window between vulnerability discovery and exploitation from months to minutes. Traditional patch cycles and manual triage processes simply can’t keep pace.
Stop trying to fix every bug. Pivot to an agentic defence that zeroes in on the flaws attackers actually weaponise, and secure your critical attack paths before they can strike.
- Payload GenerationUnified Findings Ingestion at Scale (Over 350+ Native Integrations)
- Contextual Risk Intelligence Graph
- “Anya” Persona-Aware Agentic AI
- No-Code Automated Remediation Orchestration
- AI Code Insights for Root-Cause Traceability
- Closed-Loop Verification Workflows
- AI Exposure Management (AIEM)
- Board-Ready Risk and AI Governance Evidence
- Proven 80% Reduction in Mean Time to Remediation (MTTR)
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