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Building Trustworthy Agentic AI: How Security Concerns Have Changed in 2026

Published

29 July 2026

Topic

ai

Sectors

AI & ML

Source

Read at itsecurityguru.org

Verified

Fusion42 · 30 July 2026 · Fusion42 review

Agentic AI deployments in sectors like retail and logistics are creating new security challenges that go beyond traditional model vulnerabilities. The paradigm is shifting towards securing autonomous agents as unique digital identities, governing their access to tools and data, and continuously monitoring their runtime behaviour to prevent them from becoming high-risk insider threats.

This Wire brief sits within Fusion42's coverage of AI & ML. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur reasons over.

◆ The Wire takeaway

Securing the model is no longer enough; agentic AI requires securing the agent itself. Start treating your AI agents as digital employees with unique identities and permissions, or you are building an unmanaged insider threat.

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Topics

AI & MLagentic-aiai-securityidentity-access-managementrisk-managemententerprise-ai