Search results for: 'agent model'

Multi-agent systems (MAS) for workflow automation are transforming enterprise operations by enabling multiple autonomous AI agents to collaborate, coordinate, and execute complex business processes across organizational functions. This report examines the global multi-agent workflow automation market between 2026 and 2030, focusing on advancements ...

This study will benefit those who are interested in learning about how business models are evolving in the security industry and potential opportunities in this segment. It discusses the key aspects of security business models and identifies use cases in various types of service-based models being adopted to address security capability requirement ...

Managed detection and response (MDR) has become a staple of modern cybersecurity, occupying a space between extended detection and response (XDR) platforms and traditional managed security services. It combines advanced analytics, 24/7 monitoring, proactive threat hunting, identity threat detection and response (ITDR), behavioral analytics, and adj...

The 2025 SASE market study examines the evolving landscape of Secure Access Service Edge (SASE), highlighting cloud-first strategies and hybrid work models as key drivers of adoption. The report analyzes the market’s transition from fragmented networking and security solutions to fully converged, AI-driven platforms that enhance security, connectiv...

The surveillance solutions market has shifted from hardware solutions to digital models, and system integrators (SIs) will continue to operate as key stakeholders for both surveillance equipment manufacturers and end customers. The digitalization of the market has necessitated that manufacturers offer advanced digital functions, and SIs should be a...

Key and secrets management (KSM) oversees the entire lifecycle of sensitive digital credentials, ensuring tight access controls. By centralizing how these credentials are issued, stored, and revoked, KSM helps ensure that only authorized users and systems can access sensitive data, reducing the risk of mismanagement or unauthorized use.Automation ...

Software supply chain security (SSCS) is increasingly a strategic business imperative as organizations rely more on open-source software, cloud-native architectures, AI-driven development, and autonomous development workflows. Modern software supply chains now extend beyond traditional code repositories and development pipelines to include AI model...

Artificial intelligence is fundamentally transforming cybersecurity operations from reactive, analyst-driven monitoring into intelligent, adaptive, and increasingly autonomous security ecosystems. As organizations face escalating cyber threats, expanding attack surfaces, and persistent security talent shortages, AI is becoming a strategic enabler t...

As generative AI becomes deeply embedded in enterprise operations, fueling copilots, assistants, and automated agents, organizations face a wave of new and dynamic security risks. Traditional cybersecurity architectures are ill-equipped to address the fluidity, autonomy, and unpredictability of GenAI systems. This report provides chief information ...