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For AI-Forward Teams
AI agent risk management.
AI agents with inbox access, tool permissions, and credentials are a new class of social-engineering target: prompt injection is phishing for machines. If you’re deploying agents, their susceptibility belongs in the same risk model as your people’s.
The Problem
Same attack, new target.
01
Prompt injection is social engineering
A malicious email that manipulates an agent into leaking data or misusing a tool is functionally phishing — persuasion aimed at a decision-maker with access.
02
Agents concentrate access
An agent wired to email, calendars, CRMs, and payments holds more combined privilege than most employees — often with weaker review of what it does with it.
03
Nobody owns the risk
Agent deployments ship from product and ops teams. The security review that every human hire gets — access scoping, risk assessment, monitoring — often doesn’t happen for the agent.
What Modern Looks Like
One risk model for the whole workforce.
Inventory & exposure
Know which agents exist, what they can access, and what they can execute — the same exposure mapping HRM applies to people.
Adversarial testing
Probe agents with injection attempts the way you probe employees with simulations — scoped, authorized, and scored over time.
Unified reporting
Human and agent susceptibility on one board slide. “Workforce risk” increasingly means both.
Cimento's View
Humans first. Agents next.
Cimento’s risk model — exposure × behavior × resilience — extends naturally from employees to agents, and that extension is where our roadmap is headed with early AI-forward customers. The place to start, today, is still the measurable majority of your attack surface: people.
Today: multi-channel human risk measurement and adaptive training
Emerging: exposure mapping for agent deployments
With design partners: authorized injection testing for agent workflows
The goal: one workforce risk index — human and machine
FAQ
Should we hold off on human risk work until agent risk matures?
Is prompt injection testing safe to run on production agents?
Who should own AI agent risk?
Measure the workforce you have.
Human risk today, agent risk as you scale — one model, one trend line. Start with the 14-day baseline.