AI is reviving tech sectors that VCs had all but forgotten

Fortune describes how venture funding has surged into healthtech, cybersecurity, biotech, and enterprise SaaS, driven by AI‑native startups across pre‑seed to Series B stages.[4] The article notes that many of these companies are building AI‑centric products and infrastructure, which increases the importance of robust security practices to manage risks from data‑hungry models, integration with third‑party AI services, and potential vulnerabilities in the AI development supply chain.[4]

The Fortune article reports that venture funding is rapidly returning to healthtech, cybersecurity, biotech, and enterprise SaaS, largely driven by AI‑native startups building AI‑centric products and infrastructure.[1] It highlights that these companies rely on data‑hungry models, integrations with third‑party AI services, and complex AI development toolchains, all of which expand the technical and vendor attack surface.[1] From a CyberSE.AI perspective, this surge in AI‑native startups creates heightened AI supply chain and dependency risk, making it critical to inventory models, third‑party APIs, and MLOps tools and to assess how they handle sensitive data. Organizations should adopt structured AI SBOM, vendor due diligence, and readiness assessments to manage upstream model risks, third‑party AI integrations, and security controls across the AI development lifecycle.