Agentic AI: Why Your Business Needs to Think Before It Deploys

AI is moving fast. If you've been following the headlines, you'll know that artificial intelligence has gone from generating text and images to something far more ambitious: making decisions and taking actions on your behalf. This new breed of AI is called agentic AI, and it's already starting to appear in real business environments, not just research labs.

The UK's National Cyber Security Centre (NCSC) recently published a blog post alongside new joint international guidance, Careful Adoption of Agentic AI Services, co-authored with CISA (US), the NSA, and cyber security agencies from Australia, Canada, and New Zealand. The message is clear: start small, stick to low-risk tasks, and apply your existing cyber security controls from day one.

At Finc IT, we believe this is essential reading for any business exploring AI-powered automation, and we want to break down what it means in plain English.

What Is Agentic AI, and Why Is It Different?

Most of the AI tools you've likely used so far, think Microsoft Copilot, ChatGPT, or image generators, are generative AI. You give them a prompt, they give you an output. A human is always in the loop, reviewing and deciding what to do next.

Agentic AI takes this a step further. These systems can access data sources, remember context, make decisions, use tools, and take actions in pursuit of a goal, all without continuous human intervention. Some can even create sub-agents to handle specific tasks on their own.

That's what makes them powerful. It's also what makes them riskier.

The New Risks Businesses Need to Understand

The NCSC is keen to point out that many of the security concerns around agentic AI are not brand new. Access control, secure development, supply chain risk, monitoring, and incident response all still matter. Agentic AI also inherits well-known large language model (LLM) vulnerabilities, such as susceptibility to prompt injection and jailbreaking.

However, the extra autonomy and complexity of agentic systems amplify these risks in important ways:

• Broader access: Agents can be granted permissions to reach external systems, data, and tools in ways that traditional AI tools simply aren't.

• Unpredictable behaviour: Goals can be interpreted in ways a human would never expect, leading to unintended actions.

• Harder to spot problems: Actions can happen faster than any human can meaningfully review them.

• Challenging to explain: If it's already difficult to understand why a standard AI model made a particular decision, adding tools, memory, and autonomous decision-making makes it even harder.

 As the NCSC puts it: "If an agent is over-privileged or poorly designed, a single failure can quickly become a serious incident."

What You Should Do Before Deploying Agentic AI

The joint guidance from the NCSC and its international partners sets out a practical, cautious approach. Here's what they recommend, and what we'd echo for our own clients:

1. Consider what could go wrong. Think through how failures or misuse could affect your operations before you connect anything to live systems. 

2. Ask whether AI is really needed. Could the process be simplified, removed, or automated in a lower-risk way? Not everything needs an AI agent. 

3. Start small and build confidence. Deploy incrementally, beginning with tightly bounded pilots on clearly defined, low-risk tasks. Expand scope only once you've built confidence in the system's behaviour.

4. Apply least privilege. Give agents only the minimum access they need, for the shortest time required. Avoid long-lived credentials and revoke elevated access when tasks are complete.

5. Monitor behaviour. Look for unusual or unexpected activity across tools, workflows, and connected systems.

6. Plan for incidents. Ensure your response plans specifically cover agentic AI failures, misuse, and loss of control.

Human Accountability Still Matters

One of the most important points in the guidance is this: a system may take an action, but humans remain accountable. That means being clear about who owns the agentic system, who approves its access, who monitors its behaviour, who reviews incidents, and who has the authority to stop it. These responsibilities should be defined before the agent is connected to any real systems or data. 

This isn't just good governance, it's essential for compliance and for maintaining trust with your clients and stakeholders.

Further Reading from the NCSC and article references:

The NCSC has been publishing a series of excellent resources on AI security that we'd recommend bookmarking:

• 📄 Careful Adoption of Agentic AI Services, The full joint international guidance document. [cisa.gov]

• 📝 10 Questions to Ask When Using AI Models to Find Vulnerabilities, A practical checklist before handing AI access to your code and systems. [ncsc.gov.uk]

• 📑 Understanding Adversarial Attacks Against Machine Learning and AI, A new paper introducing a common language for AI-specific threats, covering everything from training data poisoning to model inversion. [lasr.ac.uk]

How Finc IT Can Help

At Finc IT, we're already working with AI tools across our own operations and our clients' environments, from Microsoft Copilot to custom automation workflows. We understand the excitement around agentic AI, and we also understand the risks.

Our Managed Security Services provide comprehensive protection against evolving cyber threats, including those introduced by new technologies like AI. Whether you're considering an AI pilot or already running AI-assisted workflows, we can help you:

• Assess the risk of introducing agentic AI into your environment

• Apply cyber security best practice from the outset, aligned with NCSC and international guidance

• Monitor and respond to unusual activity across your systems

• Build a governance framework that keeps humans accountable and in control

AI is a tremendous opportunity, but only if it's adopted thoughtfully. As the NCSC says, make sure you can walk before you run.

Want to talk about AI security for your business? Get in touch with us today and let's make sure your next step into AI is a safe one.