Overview
- Executives from Cisco, OpenAI and AWS said enterprises are holding back deployments due to a trust deficit, with Sam Altman calling for a new security and data-access paradigm.
- Black Duck’s BSIMM survey reported that securing AI-generated code is now the top application-security priority, with a 12% rise in teams risk‑ranking LLM code and a 10% increase in custom rules to catch AI-specific flaws.
- Cisco’s Jeetu Patel identified three constraints slowing adoption: limited infrastructure capacity, a trust deficit and an emerging data gap as public human-created training data is exhausted.
- Cisco signaled major infrastructure outlays, with Patel saying the company will spend billions to expand compute, power, memory and network bandwidth for AI workloads.
- Security governance is shaping buying decisions, including rising sovereignty requirements, while AWS’s Matt Garman urged clearer success criteria and change management to move projects from proofs of concept to production.