
What happened
NVIDIA announced the NVIDIA Open Agent Safety Platform, an open software platform and reference design to secure AI agents from testing to deployment. IBM supports it with Agent Identity, HashiCorp Vault, Identity Protection and Storage.
Why it matters
Enterprises deploying agents face two questions the prompt cannot answer: how to let an agent act without giving up control, and how to prove what it did. Enforcement must sit in the runtime and hardware, not the prompt.
What to watch
Trust hinges on whether controls actually hold when an agent is compromised, since agents can ignore instructions or fall to prompt injection. NVIDIA Sentry can quarantine agents in milliseconds.
WHO IT HITSSecurity and platform teams at enterprises deploying AI agents get hardware-level identity, access and audit controls, rather than relying only on model guardrails.
Summaries like this, in your inbox every morning.
The announcement reflects a shift in how the industry frames agent safety. Earlier approaches relied on model guardrails and prompt instructions, but the article argues that agents can ignore instructions or be compromised through attacks like prompt injection. Control therefore has to be enforced by the environment around the agent, from identity and credentials to runtime, network, infrastructure and hardware.
IBM's supporting pieces span that stack: IBM Agent Identity and HashiCorp Vault establish who an agent is and what it can access; IBM Identity Protection helps clients find and monitor every agent, including shadow agents; IBM Storage integrates NVIDIA BlueField-4 at the hardware level in IBM Fusion; and Red Hat OpenShift provides the platform to run governed agents across the hybrid cloud. NVIDIA's own layer, NVIDIA OpenShell, keeps agents inside a policy-governed runtime, while NVIDIA Sentry verifies identity and enforces access policies.
The approach is explicitly open, with IBM joining NVIDIA as a founding member of the Open Secure AI Alliance, governed by the Linux Foundation. The stated goal is to make agent actions attributable, least-privileged and auditable. How much enterprises can rely on these controls without adding new operational burdens is likely the next question, especially as agents take on longer-running, autonomous work.
For example, today's edition would include:
AI-summarized, only the topics you pick: one digest a day via Email, LINE, or Slack.
Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.
Kalkine Media reports that Home Depot (NYSE:HD) is introducing an AI assistant for its retail operations

Daniel Roher's Netflix documentary 'The AI Doc: Or How I Became an Apocaloptimist' presents both AI safety exp…

AMD said Monday it agreed to acquire World Labs, Fei-Fei Li's San Francisco AI lab, for about $8.2 billion in…

Bank of America announced Payments Insights, a new CashPro capability that analyzes payment efficiency, cross-…

NVIDIA announced its NVIDIA Open Agent Safety Platform, combining OpenShell open-source software for secure ag…

Dell's AI server backlog rose to $95 billion after a record $60.9 billion in AI server orders in fiscal Q2, wi…
