AI impact · verified capabilities
How AI is changing the work of Security Management Specialists
Our reviewed registry links 5 verified AI capabilities to tasks that are part of this occupation. This shows where AI tools can already assist with specific tasks. It is not a forecast that the occupation will disappear, and it does not measure how widely any tool is used.
Last reviewed: 2026-09-27 · O*NET 13-1199.07 · Mapping confidence: high
Task areas where verified capabilities connect
- Inspection and safety
- Incidents and security
- Compliance and controls
Verified capabilities (up to 5)
- EmergingEvidence: Strong
Anti-money-laundering risk scores
What AI can assist with: Generates AML risk scores with explanations for investigators to review.
Practical meaning: this can speed up part of the task, but still needs human direction and review.
Human responsibility: you review every output and keep the final decision.
Source: Google Cloud - EmergingEvidence: Strong
KYC identity-document checks
What AI can assist with: Extracts identity-document data to support know-your-customer verification.
Practical meaning: this can speed up part of the task, but still needs human direction and review.
Human responsibility: you review every output and keep the final decision.
Source: Google Cloud - EmergingEvidence: Strong
Multi-step process agents with approvals
What AI can assist with: Chains tools, business rules and approval steps into one documented workflow.
Practical meaning: this can execute a bounded workflow, but ownership, controls and edge cases remain with people.
Human responsibility: you set permissions and approval points and stay accountable for outcomes.
Source: OpenAI - EmergingEvidence: Moderate
Audit evidence review
What AI can assist with: Supports extraction and testing of audit evidence; depth of use varies by firm.
Practical meaning: this can speed up part of the task, but still needs human direction and review.
Human responsibility: you review every output and keep the final decision.
Source: Thomson Reuters - NowEvidence: Moderate
Machine-learning payment fraud screening
What AI can assist with: Models score payment or account activity for fraud risk so merchants can allow, block, or route transactions for review.
Practical meaning: a defined part of this workflow can be automated; judgement and exceptions remain human work.
Human responsibility: you set the rules, handle exceptions and approve results.
Source: Stripe
What remains human responsibility
Evidence shows a capability exists; it does not prove adoption in every workplace or full-task replacement.
Evidence limits
Each capability is verified from the cited source only. A source shows that a capability exists; it does not establish adoption, deployment depth or outcomes in any particular workplace.
Sources
- Google Cloud — Anti Money Laundering AI overview
- Google Cloud — Google Cloud AI products and capabilities
- Google Cloud — Build KYC agentic workflows with Google's ADK
- Google Cloud — Document AI for identity cards
- OpenAI — New tools for building agents
- Microsoft — Computer-using agents, workflows, and real-time voice
- AWS — Amazon Bedrock agents
- Thomson Reuters — CoCounsel Audit & Accounting
- Thomson Reuters — Thomson Reuters AI for professionals
- Stripe — Stripe Radar
- Stripe — Account fraud prevention with Radar
See what this means for your own week
The free assessment looks at the tasks you actually do and your own AI habits.
Start the free assessment
