Anthropic ban heralds new era of supply chain risk — with no clear playbook
Anthropic ban heralds new era of supply chain risk — with no clear playbook
Publish Date: 2026-03-19 03:03:00
Source Domain: www.csoonline.com
Dependencies may be embedded deep within applications or introduced through third-party software, requiring coordination across vendors and development teams. In some cases, replacing a model may require reworking prompts, retraining systems, or revalidating outputs to ensure that functionality and performance are maintained.
Anand Oswal, EVP at Palo Alto Networks, emphasizes that visibility is only one component of a broader security strategy. Organizations also need continuous discovery, testing, and runtime controls to manage AI risk as systems evolve.
“You need a full AI security solution,” he tells CSO, arguing that AI systems are dynamic, with models, data, and behaviors that change over time, making static inventories insufficient without ongoing monitoring and governance. “You want complete visibility into your AI applications, your AI agents, your AI tools, your plugins, the data they’re accessing, everything around that whole infrastructure of AI that is being used to build your applications or agents. Once you do that, that’s discovery. It’s a good thing. It’s a start.”
