Tag: AI Workloads

AI agents face unique risks from static API keys and prompt injection. Learn why workload identity eliminates credentials for LLM workflows.
Recent flaws in Conjur and Vault highlight the risks of concentrating trust in a single repository – and why workload IAM may offer a more resilient path forward.
The vulnerability shows how modern application development is accelerating without bringing access controls along for the ride.
Secrets managers worked when workloads stood still. Agentic AI is forcing the vault door shut.
Security teams are shifting their focus from securing individual users to securing everything that acts on behalf of a user, especially when that “thing” is software.
Learn how leading enterprises manage access keys for non-human cloud workloads, reduce credential risks, and move beyond traditional key management.
AI agents don’t neatly fit into your IAM chart. They switch roles, borrow authority, and rewrite what identity means at runtime. Here’s what that means for you.
Instead of running static workflows, agents are building the system for you, deciding how to connect tools and take action on the fly.
AI workloads operate at machine speed – but their identities risk being exploited, turning innovation into vulnerability.