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.
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:
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.
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:
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.
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.

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.
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