AI SECURITY & READINESS
Protect your business from AI-enabled threats—and put clear boundaries around the AI your people use. Connect data, access and human decisions before a small gap becomes a larger incident.
Practical assessment · Clear priorities · Accountable decisions
THE OPPORTUNITY IS REAL. SO IS THE EXPOSURE.
AI assistants can summarise documents, draft messages and connect to business systems. The same speed and reach can also amplify mistakes, expose information or make deception more convincing. The useful question is where those capabilities touch your business—and who stays in control.
Ransom Secure brings that conversation back to practical decisions: which tools are in use, what data they receive, what they can do and how your team recognises and responds when something goes wrong.
01 / THREATS COMING IN
More convincing impersonation, faster preparation and more scalable social engineering can put pressure on familiar controls. Your payment approvals, account recovery and incident procedures still need independent verification.
02 / RISK INSIDE THE WORKFLOW
Unapproved tools, excessive connector permissions and untrusted inputs create a different set of questions. Review the entire workflow around the model, including the systems it can read and the actions it can initiate.
MAKE THE RISK TANGIBLE
Explore a business scenario and the control decisions it raises.
ILLUSTRATIVE BUSINESS SCENARIO / 01
A finance team receives an urgent request that sounds like a senior colleague. The pressure comes from the business context and apparent authority, not an obviously suspicious spelling mistake. AI can make these messages easier to personalise.
WHERE THE EXPOSURE APPEARS
A payment change, credential reset or sensitive disclosure is approved without independent confirmation.
ILLUSTRATIVE BUSINESS SCENARIO / 02
An employee pastes a customer document into an unapproved assistant to save time. The business may not know which account was used, how the provider handles the information or whether the tool connects to other services.
WHERE THE EXPOSURE APPEARS
Information crosses an unreviewed boundary, with unclear retention, permissions or ownership.
ILLUSTRATIVE BUSINESS SCENARIO / 03
An AI workflow reads a document or website that contains misleading instructions. If the workflow can also send messages or change records, an untrusted input may influence a consequential action.
WHERE THE EXPOSURE APPEARS
An agent acts beyond the intended task or exposes information through a connected tool.
A REVIEW THAT STARTS WITH YOUR BUSINESS
Start with the work people are doing—not a list of products. AI may already be embedded in document tools, support systems, browser extensions or automation platforms, even without a formal AI programme.
Map the business purpose, owner, information and connected systems for each meaningful use case. That creates a basis for deciding what to approve, what to restrict and what needs a deeper technical review.
THE AREAS WE CONNECT
Identify approved and unofficial use, accountable owners, provider settings and the process for approving a new AI feature.
Follow sensitive information into prompts, uploaded files, knowledge sources and connectors. Check whether permissions match the actual business task.
Understand what an assistant can change, send or execute. Identify consequential actions that need clear authorisation and a reliable human decision.
Review verification habits, reporting routes and the steps to take when information is exposed or an AI-enabled deception is suspected.
SAFE ADOPTION IS A WORKFLOW DECISION
The model is only one part of an AI-enabled service. Documents, retrieval systems, application permissions and connected tools determine what information is available and what an output can become.
A chatbot that drafts text has a different risk profile from an agent that can access customer records, email suppliers or change a system. Review those differences before expanding access. Instructions in a prompt cannot replace enforceable permissions.
For higher-impact workflows, agree approval points, logging, testing and a way to stop or roll back an action. The appropriate design depends on the use case and the systems involved.
AN ILLUSTRATIVE CONTROLLED WORKFLOW
INPUT
Identify the user, purpose and information needed.
01 / CHECK THE DATA
Approved source · Minimum necessary information
PROCESS
Keep untrusted content separate from the instructions that authorise the task.
02 / LIMIT THE AUTHORITY
Scoped tools · Restricted permissions · Approval when needed
ACTION
Validate consequential outputs and retain an appropriate activity record.
CHOOSE YOUR STARTING POINT
Your next step should match your current use and the decisions ahead. Select the situation closest to yours.
You want a useful starting point before staff adopt tools independently.
Adoption has moved ahead of a consistent view of tools, information and responsibility.
Assistants or agents will retrieve information or take actions across your business.
FROM QUESTIONS TO AN ACTIONABLE REVIEW
01
Discuss the business purpose, people, tools and information involved. Identify immediate concerns and the decisions the review needs to support.
02
Set the scope, access boundaries, stakeholders and deliverables. Separate a readiness review from any technical testing or implementation work.
03
Review the available evidence, ownership and control points. Explore realistic misuse or failure scenarios appropriate to the agreed scope.
04
Explain findings in business terms, assign proposed actions and identify which decisions need further evidence, investment or specialist input.
WHAT AN AGREED REVIEW CAN PRODUCE
Final deliverables are confirmed in the engagement scope. A review does not certify that a system is risk-free.
QUESTIONS BEFORE YOU START
Need to discuss your own environment?
It covers both the misuse of AI by attackers and the risks introduced when your organisation uses AI. Depending on scope, that includes tool ownership, data handling, permissions, connected actions, staff verification practices and response preparation.
No. AI can make some attacker activities faster or more convincing, but an incident still depends on access, vulnerabilities, human decisions and the controls in place. The useful response is to identify actual exposure and improve the relevant safeguards rather than assume that every system can be breached.
Yes, if your people use AI-enabled software or connected assistants. You may be responsible for accounts, shared information, permissions and business decisions even when a provider operates the model. The scope should reflect what you use rather than assume you are developing a model.
An engagement can start with your current tools and workflows. Agree what can be examined, the access available and the business questions to answer. Replacing software is not the automatic outcome of a readiness review.
It is an attempt to influence an AI application through instructions placed in an input or external content, such as a document or webpage. The impact depends on the application’s access and capabilities. Limiting permissions and separating untrusted content from authorised actions are important parts of the surrounding design.
A policy helps explain acceptable use, but it needs practical ownership, settings and controls behind it. Review whether staff can follow the rules, whether permissions support them and what happens when an exception or incident occurs.
Those are separate capabilities and should never be assumed from the term readiness review. Any technical testing, implementation, monitoring or incident-response service requires its own agreed scope, authorisation and responsibilities.
Share a brief description of your AI use, your concern and safe contact details. Do not submit credentials, customer records, confidential prompts or incident evidence. Appropriate information-sharing arrangements can be discussed after the initial contact.
CONTINUE WITH THE QUESTION THAT MATTERS TO YOU
THREAT AWARENESS
Understand how impersonation and other AI-assisted tactics affect everyday business decisions.
ADOPTION & CONTROL
Consider the ownership, information and permission boundaries around AI-enabled work.
PRACTICAL RESOURCE
Use a focused set of questions to start a conversation with your business and technical owners.
Independent references: NCSC’s AI cyber-threat assessment and OWASP’s LLM application risks. These resources offer further reading on the topics discussed.
Practical reading to help your team turn AI security questions into informed decisions.
Find out which AI tools touch your business information, who owns them, and what to review before access expands.
Read article : How to build an AI tool inventory your team can actually useUnderstand the difference between reading untrusted content and allowing that content to influence a connected business action.
Read article : Prompt injection: what changes when an AI assistant can act?A practical verification process for finance teams facing unexpected payment changes, executive impersonation and convincing voice calls.
Read article : A familiar voice is not approval: checking urgent payment requestsBUILD READINESS INTO YOUR NEXT AI DECISION
Start with the workflow, the concern or the unanswered question. We’ll discuss a practical next step for your business.
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