Checklist | The Agentic Readiness Ten

Checklist | The Agentic Readiness Ten

A ten-requirement checklist to assess whether your organization is ready to run AI agents securely in production. Download it to find your open gaps.

Checklist | The Agentic Readiness Ten

READINESS CHECKLIST

The Agentic Readiness Ten As AI systems evolve from answering questions to autonomously

taking action, traditional security controls are no longer enough.

Use this checklist to assess whether your organization is prepared to secure AI

agents, copilots, and AI-powered applications at enterprise scale.

How to use this checklist

1 Mark one status for every requirement: In place, In progress, or

Open gap.

2 Ask for the evidence listed under each requirement before

marking it In place.

3 Count the status you marked most often in each section, then use

page 4 to read your two results.

Your result: a directional view of deployment readiness across visibility

and control.

10

Check Point AI Security 1

STEP 1 OF 3 | REQUIREMENTS 01-05

Visibility, Proven Before agents run in production, every agent is accounted for and every action can be

traced.

Who should confirm: Security leadership, AI platform owners, agent developers, identity, and application

security.

Mark one status for every requirement.

Choose the option that reflects where this stands today, and ask for the evidence before marking In place.

01 Every production agent has a named owner

and a stated business purpose. Evidence: an inventory record anyone can pull up on demand.

In place In progress Open gap

02 Every data source, API, tool, and MCP server

each agent can reach is mapped and current. Evidence: the full connection map for any agent, on request.

In place In progress Open gap

03 Every agent action is tied to a specific identity

with least-privilege permissions.

Evidence: pick an action and show the identity and permissions behind it.

In place In progress Open gap

04 One end-to-end trace follows each agent task

across every system it touches.

Evidence: a full task trail replayed step by step, not fragments.

In place In progress Open gap

05 A reasoning record explains why each agent chose a tool or took an action.

Evidence: for any past action, the record shows why the agent acted.

In place In progress Open gap

The Agentic Readiness Ten 2

STEP 2 OF 3 | REQUIREMENTS 06-10

Control, Proven Before agents run in production, an unsafe action can be stopped before it

completes.

Who should confirm: Security, identity, risk, application security, and owners of connected business

systems.

Mark one status for every requirement.

Choose the option that reflects where this stands today, and ask for the evidence before marking In place.

06 Agent access is split into separate read, write,

delete, and execute permissions. Evidence: an agent reading a live system it cannot write to.

In place In progress Open gap

07 Policy weighs who is asking, what the agent is for,

and how sensitive the data is before an action runs. Evidence: the same action allowed in one context and blocked in another.

In place In progress Open gap

08 High-impact and irreversible actions

wait for a human decision.

Evidence: a blocked action sitting in an approval queue.

In place In progress Open gap

09 Safeguards catch a manipulated agent

misusing tools it is allowed to use.

Evidence: a prompt injection attempt failing against approved tools.

In place In progress Open gap

10 Any agent can be paused or disconnected the moment it acts outside its purpose.

Evidence: a tested kill switch with a named owner.

In place In progress Open gap

The Agentic Readiness Ten 3

STEP 3 OF 3 | READ YOUR RESULT

Read your readiness Count your marks in each five-requirement section. The status you marked most often

determines the directional result. If two statuses tie, use the more cautious result.

Visibility, Proven Requirements 01-05

Tally your marks

In place In progress Open gap

Control, Proven Requirements 06-10

Tally your marks

In place In progress Open gap

Close the gaps before go-live

01-02 See every agent An inventory of your agents and the data sources, tools, and MCP servers

each one can reach.

03-05 Trace every action End-to-end decision traces that tie each action to its identity, its systems,

and its reasoning.

06-08 Enforce before it runs Per-operation permissions and context-aware policy, with human approval

in front of consequential actions.

09-10 Contain in the moment Runtime protection against manipulated tool use, and immediate pause or

disconnect for any agent.

See all ten requirements in one session

Bring your open gaps to a Check Point AI security expert and see how

each requirement is met in practice.

Book a session

In place

Most: In place

Partial

Most: In progress

Open

Most: Open gap

In place

Most: In place

Uneven

Most: In progress

Open

Most: Open gap

https://pages.checkpoint.com/agentic-ai-demo-new.html

agentic_readiness: question_01: Off question_02: Off question_03: Off question_04: Off question_05: Off question_06: Off question_07: Off question_08: Off question_09: Off question_10: Off tally: visibility_proven: in_place: in_progress: open_gap:

control_proven: in_place: in_progress: open_gap:


Item Type: pdf