Uploaded June 2026 | Updated September 2026, 2 weeks ago
AI security is changing. Instead of focusing only on preventing bad responses or prompt abuse, organizations increasingly need to control what AI agents are actually allowed to do inside real systems.
As AI agents gain access to identities, applications, and workflows, the biggest risks come from their permissions—not just their words. Filtering outputs can reduce harmful responses, but limiting actions is what prevents real-world consequences like unauthorized access or unintended automation.
As AI becomes more capable, should security teams spend more effort policing prompts, or defining strict permissions and guardrails around what AI agents can actually do?
Subscribe to our podcasts: securityweekly.com/subscribe
#IdentitySecurity #SecurityWeekly #Cybersecurity #InformationSecurity #AI #InfoSec
AI security is changing. Instead of focusing only on preventing bad responses or prompt abuse, organizations increasingly need to control what AI agents are actually allowed to do inside real systems.
As AI agents gain access to identities, applications, and workflows, the biggest risks come from their permissions—not just their words. Filtering outputs can reduce harmful responses, but limiting actions is what prevents real-world consequences like unauthorized access or unintended automation.
As AI becomes more capable, should security teams spend more effort policing prompts, or defining strict permissions and guardrails around what AI agents can actually do?
Subscribe to our podcasts: securityweekly.com/subscribe
#IdentitySecurity #SecurityWeekly #Cybersecurity #InformationSecurity #AI #InfoSec
