Stop AI Breaches At The Endpoint: Why Traditional Security Is No Longer Enough

AI systems have evolved to operate beyond controlled cloud environments, now functioning directly on endpoints, browsers, developer machines, and local agents, which traditional security measures struggle to monitor and secure. Legacy security tools are inadequate for interpreting AI behavior at runtime, leading organizations to deploy powerful AI systems in environments they cannot fully protect. Modern AI workflows, which include local AI agents on user devices and browser-based copilots, have expanded the attack surface beyond the cloud, with most breaches now occurring at the endpoint. AI has become an active participant in enterprise systems, necessitating a new approach to security that focuses on endpoint protection. Organizations that adapt to this new reality early have the potential to define the next generation of secure AI infrastructure.

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