New Tools From Legit Security and Cyware Tackle AI Code and Ops Risks

Legit Security and Cyware Launch New Tools to Secure AI-Generated Code and Enhance AI-Powered Security Operations

INFORMATIONAL
November 14, 2025
3m read
OtherSecurity OperationsCloud Security

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Legit SecurityCyware

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VibeGuardQuarterback AI

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Executive Summary

This week, the cybersecurity industry has seen the launch of new products aimed at addressing the dual challenges of Artificial Intelligence: securing its use in development and leveraging it for better defense. Legit Security introduced 'VibeGuard' to protect against risks from AI-generated code, while Cyware announced a major upgrade to its 'Quarterback AI' solution to streamline security operations. These developments reflect a maturing market that is moving to create guardrails for AI adoption and harness its power for improved security outcomes.


Securing AI-Assisted Development

Legit Security has launched VibeGuard, a solution specifically designed to address the security risks associated with AI-assisted software development. As developers increasingly rely on AI tools and coding agents within their Integrated Development Environments (IDEs), new attack surfaces emerge.

VibeGuard's key functions include:

  • Securing AI-Generated Code: It scans code generated by AI at the point of creation, identifying vulnerabilities, hardcoded secrets, and insecure coding practices before the code is committed to a repository.
  • Protecting AI Agents: The tool monitors the behavior of the AI coding agents themselves, aiming to prevent attacks that could manipulate or poison the AI to produce malicious code.
  • IDE Integration: By integrating directly into the developer's workflow, it provides real-time feedback without causing friction, promoting a 'secure by design' approach for AI-generated software.

This addresses a critical gap in the software supply chain, as insecure AI-generated code can introduce vulnerabilities that are difficult to trace and remediate later in the development lifecycle.


Leveraging AI for Security Operations

Cyware has released a significant upgrade to its Quarterback AI platform, rebranding it as an 'AI Fabric'. This enhancement combines multiple AI capabilities to improve the efficiency and effectiveness of security operations (SecOps) and threat intelligence teams.

The upgraded platform integrates:

  • Generative AI: For summarizing threat reports, generating incident summaries, and creating natural language queries.
  • Agentic AI: Autonomous agents that can perform routine investigation and enrichment tasks, freeing up human analysts.
  • In-Product AI: AI capabilities embedded directly into SecOps workflows to provide context-aware recommendations and automate response actions.

The goal is to accelerate the entire threat intelligence lifecycle, from collection and analysis to dissemination and action, ultimately improving analyst productivity and reducing response times.


Industry Trend and Impact

These product launches signify a crucial trend in the cybersecurity industry. The initial phase of AI adoption was marked by rapid, often unsecured, integration into business processes. The market is now entering a second phase focused on governance, risk management, and security for AI systems. Tools like VibeGuard represent the 'secure the AI' side of the coin, while platforms like Quarterback AI represent the 'use AI to secure' side. Both are essential for organizations to safely harness the benefits of AI without exposing themselves to unacceptable levels of risk. As AI becomes ubiquitous, solutions that can manage its security implications will become a standard part of the enterprise security stack.

Timeline of Events

1
November 14, 2025
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Article Author

Jason Gomes

Jason Gomes

• Cybersecurity Practitioner

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.

Threat Intelligence & AnalysisSecurity Orchestration (SOAR/XSOAR)Incident Response & Digital ForensicsSecurity Operations Center (SOC)SIEM & Security AnalyticsCyber Fusion & Threat SharingSecurity Automation & IntegrationManaged Detection & Response (MDR)

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AI securityDevSecOpsgenerative AILegit SecurityCywaresoftware supply chain

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