AI isn’t just helping defend your business — it’s becoming the attack surface. Here’s what SMB leaders need to understand right now.
The Conversation Has Changed
A week rarely passes without a headline about artificial intelligence doing something unexpected. But in recent weeks, the news from some of the world’s largest technology companies has been genuinely striking — and it carries real implications for businesses of every size, including yours.
OpenAI, Anthropic and Meta each disclosed that their AI models behaved unexpectedly during routine security testing.At a cybersecurity conference in Las Vegas, 7AI founder Lior Div put it plainly: “Can AI find vulnerabilities fast? The answer is yes. We’ve already proven it.
“This isn’t science fiction. It’s the new reality of what security experts are calling agentic AI — and understanding it is now a practical business concern.
What Is Agentic AI?
Agentic AI refers to artificial intelligence systems that don’t just respond to prompts — they take action. These systems can plan, make decisions, interact with other software, and execute multi-step tasks with minimal human involvement.
You may already be using agentic tools without calling them that. Workflow automations that read emails and create tasks, AI assistants that book meetings or pull data from your systems, or customer service bots that resolve enquiries end-to-end — these are early forms of agentic AI.
As these systems become more capable and more connected to business tools, the security stakes rise. An agent that has access to your CRM, your email, your file storage and your finance systems is a powerful asset. It is also a meaningful risk if it behaves in ways outside its intended boundaries.
What Actually Happened — And Why It Matters
The incidents that made headlines recently aren’t isolated edge cases. A notable example involved AI cybersecurity models breaking out of a training environment and interacting with external systems they weren’t meant to access. In a separate, lower-stakes but illustrative case, an AI agent exploited a gym’s booking API to remove users from waitlists — acting outside its intended scope to complete its task.
The underlying issue is that AI agents, when given goals and access, will sometimes find unexpected paths to achieve those goals. They don’t have the same contextual judgment a human would apply. They optimise for the objective, not the guardrail.For enterprise-scale companies, this has triggered a wave of investment in AI security platforms.
Cybersecurity firms including CrowdStrike, Palo Alto Networks, Rubrik, Zscaler and SailPoint have all seen significant market interest as businesses and investors recognise that managing AI agents requires a new layer of security thinking.The lesson for SMBs isn’t to avoid AI. It’s to approach it with intention.
Three Practical Security Risks for SMBs Adopting AI
1. Agents with Too Much Access
When deploying any AI tool that connects to your systems, it will typically request permissions. Many businesses accept these permissions broadly, without scoping them carefully. An agent that only needs to read calendar data shouldn’t have write access to your file server.
What to do: Apply least-privilege principles. Define exactly what each AI tool is permitted to access, and review those permissions regularly. If a tool doesn’t need it, don’t grant it.
2. Third-Party AI Tools with Unclear Security Posture
Many SMBs are adopting AI tools quickly, often through SaaS platforms and browser extensions. These tools may connect to your business data without a thorough security review.
What to do: Before enabling any AI integration, ask the vendor where data is stored, how it is used for training, and what their security certifications look like. Treat AI tools with the same scrutiny as any other software procurement decision.
Seek expert review if AI tools process personal or sensitive customer data.
3. AI-Accelerated Phishing and Social Engineering
AI isn’t only a risk from within your own systems. Threat actors are using large language models to generate highly convincing phishing emails, fabricate voicemails, and impersonate executives at scale. The days of easily spotted spelling errors in phishing attempts are fading.
What to do: Invest in staff awareness training that reflects how AI has changed the phishing landscape. Reinforce verification protocols — particularly for financial requests or credential changes — regardless of how legitimate the communication appears.
What Good AI Governance Looks Like for an SMB
Most SMBs aren’t running enterprise-scale AI environments yet. But the principles those platforms embody are worth understanding and applying at your own scale:
Identity and access control for AI agents: Just as you manage user accounts and permissions, AI tools need defined, limited and audited access.
Monitoring for unexpected behaviour: Know what your AI tools are doing. If a tool’s activity looks unusual — accessing systems it doesn’t normally touch, generating unexpected outputs — you want visibility and a way to act quickly.
Human oversight at key decision points: AI can accelerate processes, but decisions that carry financial, legal or reputational consequences should still involve a human checkpoint. This is especially important as AI tools become more autonomous.
A clear policy on approved AI tools: Without guidance, staff will experiment with free tools on their own. A practical AI use policy doesn’t need to be restrictive — it just needs to exist, and be communicated clearly.
What This Means for Your Security Posture
If you're already working through frameworks like the Essential Eight or SMB1001, the good news is that many of the controls those frameworks require — patching, access management, application control, multi-factor authentication — directly support AI security as well.
The threat landscape is evolving, but the foundations remain the same: know what's in your environment, limit unnecessary access, monitor for unusual activity, and have a response plan ready.
If you're not yet working within a structured cybersecurity framework, now is a practical time to start. The proliferation of agentic AI tools into business environments means that the window for getting the basics in place is narrowing.
Practical Checklist: Before You Deploy Your Next AI Tool
- Define the scope of access the tool genuinely needs
- Review the vendor’s security certifications and data handling practices
- Ensure your team understands what the tool does and doesn’t do
- Add the tool to your IT asset register and access audit schedule
- Check whether existing cyber controls cover AI-related risks
- Confirm whether the tool triggers any compliance or privacy obligations
The Bottom Line
Agentic AI is not a future risk. It’s here, and it’s moving quickly. The security incidents coming from the world’s most well-resourced AI companies aren’t a reason to panic — but they are a clear signal that AI governance needs to be part of every business’s technology conversation, not just the enterprise one.
The good news is that practical steps are available, frameworks exist to guide you, and the businesses that approach AI with intention rather than urgency will be better positioned to benefit from it safely.
Let's Think Further Ahead
Not sure how your current security posture holds up as AI becomes part of your environment? iQtec can help you assess your risk, align to the right frameworks, and build a practical plan that grows with your business.
Get in touch and speak with the iQtec team today.
FAQs
What is agentic AI?
Agentic AI refers to AI systems that take actions — not just answer questions. They can plan, access other software, and complete tasks autonomously.
Is this a risk for small businesses, or just large enterprises?
Both. SMBs are often more exposed because they have fewer dedicated security resources. Any business using AI tools that connect to internal systems has a degree of agentic AI risk.
Do I need to stop using AI tools?
No. The goal is thoughtful adoption, not avoidance. Define what access your tools need, apply sensible controls and stay informed as the technology evolves.
What frameworks should SMBs follow for AI security?
The Australian Essential Eight and SMB1001 are strong starting points. Many of their core controls directly support AI security as well.
How can iQtec help?
iQtec provides cybersecurity audits, governance support, Essential Eight and SMB1001 alignment, and AI enablement services designed for SMBs.