Build **AgentShield AI**—a $50K/year **Fintech + B2B SaaS platform** that **monitors and mitigates agentic AI risks in finance**. The platform would: (1) Deploy **‘NarrativeSense’**: Fine-tuned LLMs (e.g., Claude-3.5 Opus) analyzing agentic AI logs to detect malicious intent (e.g., ‘Agent #XYZ: 98% manipulation risk—quarantine’); (2) Provide **‘Regulatory Firewall’**: Auto-generates compliance reports for central banks (e.g., ‘FSB Form 123: Ready—submit to Bank of England’); (3) Integrate with **‘DeFi APIs’** (e.g., Uniswap, Aave) and **‘CeFi APIs’** (e.g., JPMorgan, Revolut) to auto-block high-risk agents; (4) Offer **‘Risk Score Dashboard’**: Real-time exposure (e.g., ‘Agent #ABC: 85% risk—flagged for review’); (5) Include **‘Counter-Agent Playbook’**: Pre-approved responses (e.g., ‘Freeze agent—approved by SEC’).

Financial institutions (FIs) face existential risks from agentic AI (e.g., autonomous trading bots, lending agents) but lack tools to monitor or mitigate them. Current compliance solutions (e.g., Chainalysis, Solidus Labs) focus on rule-based fraud detection, not AI-driven systemic risks. The cost includes regulatory fines (e.g., SEC: $50M/violation), market manipulation (e.g., ‘Flash Crash 2.0’), and lost trust (e.g., ‘DeFi hacks: $1.8B in 2026’).