National Security Group Tackles Agentic AI
The Intelligence and National Security Alliance (INSA) Foundation is launching a new event series focused on preparing for agentic AI. Underwritten by Booz Allen, the series will explore how regulated sectors, including federal agencies and insurance, can integrate agentic AI to improve workflows and evidence-based decision-making.
The global agentic AI insurance market is projected to grow from USD 4.60 billion in 2024 to approximately USD 75.00 billion by 2034, expanding at a compound annual growth rate (CAGR) of 32.2%. In the U.S. alone, the market stood at USD 1.55 billion in 2024. This growth is fueled by the technology's ability to automate complex processes like claims management, underwriting, and fraud detection. This event series is a key part of a broader "Future of the IC Workforce" initiative by the INSA Foundation, which is underwritten by Booz Allen. The series aims to address how to prepare data securely and structurally for next-generation AI capabilities. INSA has previously published white papers on AI's role in areas like insider risk management, highlighting the need for careful and transparent deployment. Event underwriter Booz Allen is deeply invested in applying agentic AI to federal missions. Steve Escaravage, president of Booz Allen's defense technology group, stated that 2026 will see the operational use of agentic AI systems capable of adapting in dynamic combat scenarios. The firm views these AI agents as digital coworkers that can plan, learn, and execute tasks in real-time with human oversight. For the insurance industry, agentic AI offers a shift from AI that suggests to AI that acts. Use cases include automating the entire claims lifecycle, enhancing risk assessment for underwriting, and personalizing customer engagement. Forrester predicts that tech spending in the insurance industry will increase by 8% in 2025 as carriers prioritize AI and automation to improve efficiency. However, significant hurdles remain for adoption in regulated sectors. Key challenges include integration with legacy IT systems, ensuring data quality and accessibility, and navigating security and privacy concerns. According to Gartner, over 40% of agentic AI projects are expected to be canceled by 2027 due to these complexities and the difficulty in proving a clear return on investment. Despite the challenges, the push for adoption is strong. Gartner predicts that by 2028, agentic AI will handle 15% of all enterprise decisions, a significant increase from almost zero in 2024. For insurers, this means moving beyond pilot programs to larger-scale implementation to stay competitive. Currently, about 20% of insurance organizations are piloting AI agent use cases, but only 4% fully trust them.
