In this final chapter, we focus on AI agent safety and security, covering challenges from accidental failures to deliberate attacks. The complex interactions of agentic

This chapter explores AI agents in the physical world through robotics, a field NVIDIA CEO Jensen Huang calls “physical AI” (Freund, 2024). Robotics, especially humanoid

AI agents are reshaping healthcare by tackling complex challenges across diagnostics, treatment planning, administrative workflows, and patient engagement. They improve accuracy, enhance outcomes, and reduce

The insurance industry is at a pivotal moment. Built on data and risk analysis, it now faces a revolution from AI agents—advanced systems that learn,

The banking industry is on the brink of transformation, driven by AI agent technology. No longer futuristic, AI agents—integrating data management, language understanding, reasoning, tool

We discussed AI agents for offensive security in the previous chapter. This chapter focuses on the other side of the coin: AI agents for defensive

Keywords: AI Agents, Business Workflows, Automation, Dynamic Systems, Predictive Analytics, Personalization, Human–AI Collaboration, Ethical AI, Autonomous Decision-Making, Real-World AI Agent Case Studies, Workforce Transformation The

Keywords: Offensive security, AI agents, Red teaming, Social engineering, Software supply chain attacks, Vulnerability discovery, Automated testing, Deepfake, AI-enabled phishing, Zero-day Vulnerabilities, Adaptive fuzzing, Ethical

Keywords: AI Agents, Agent Economy, Blockchain, Decentralization, Tokenization, Smart Contracts, Incentives, Autonomous Systems, Marketplaces, Agent Value Creation, Economic Theory, Decentralized Autonomous Organizations (DAOs), Cryptocurrency, Automation,

Keywords: Multi-agent systems (MASs), Agent coordination, Communication protocols, Conflict resolution, Agent specialization, Human-agent collaboration, Distributed AI, Capability levels of agents Imagine a swarm of drones