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.

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: