Agentic AI and the Coming “Blast Radius” Problem

Everyone knows about the risks of GenAI, but the wave is already here, and it’s far riskier: agentic AI. These are AI systems that don’t just generate text or insights — they take actions, execute workflows, change system states, and make decisions autonomously.

Think of it as AI with the ability to “press buttons,” not just give advice.

A new analysis from Keepit, the world’s only vendor‑independent, immutable SaaS data‑protection platform, argues that agentic AI represents a fundamental shift in enterprise risk — one that most organizations are not prepared for.

Why this matters now

Agentic AI is already being embedded into SaaS platforms, IT operations, and enterprise workflows. As these systems gain autonomy, the risk profile changes dramatically:

  • AI can now act — not just advise. It can archive, delete, grant access, move data, schedule jobs, and initiate restores.
  • Mistakes scale instantly. A single hallucinated parameter or mis‑scoped command can impact an entire tenant, not just a file.
  • Rollback becomes the new cybersecurity perimeter. Without immutable, independent backup and point‑in‑time recovery, agentic AI errors become permanent.
  • New attack vectors are emerging. Including memory injection (MINJA), prompt‑based escalation, and automation loops between agents.
  • The winners won’t be those with the smartest AI — but those with the strongest control model.

This is a fresh angle in a saturated AI news cycle: speed vs. safety, and how enterprises can adopt agentic AI without surrendering control.

Please find a full blog post, published today, on Keepit’s blog here

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