Using ChatGPT, Copilot, Gemini, AI note-taking, or workplace AI tools? Your business already has AI exposure. The real question: Are you ready for the governance, privacy, security, and audit questions coming next? We have created a practical resource for Canadian SMBs: The Canadian SMB AI Readiness Checklist (2026) Free download: northsecure.ai/NorthSecure_A… #AI #CyberSecurity #SMB #Copilot #ChatGPT

Buying an AI camera for your Canadian business? Ask what leaves the device: video, alerts, diagnostics or cloud backups. Have the vendor show the settings and destinations. Put those answers in the purchase review before treating "on-device AI" as a privacy safeguard.

Before connecting AI to shared folders, test two staff accounts with different access. Ask both about a restricted test file. For SMBs, a correct answer to the wrong person is still a failed pilot. Check summaries and saved chat history too. Useful answers need the right audience.

Keep an AI near-miss log. Wrong customer, invented price, unexpected file access—even when someone catches it before harm occurs. For SMBs, record what happened, which check caught it and what needs to change. A caught mistake is a test case for the next pilot review.

One of the easiest ways to buy the wrong cybersecurity assessment is to start with a label: “We need a cyber assessment.” I would start with the decision instead. Are you trying to understand what is exposed publicly? Are identity and sharing settings the concern? Does leadership need a risk register for a customer, insurer, or board discussion? Are Microsoft 365 and workplace AI questions connected? Those are different scopes, deliverables, and prices. I wrote a guide explaining NorthSecure AI's published Canadian starting prices and the questions that make two proposals easier to compare. It is not a market-average claim; it is a practical guide to our own services. Read it here: lnkd.in/ghUF2d2C

AI meeting notes need boundaries before the call starts. For SMBs: tell participants the tool is on, agree what stays off the record, and check who receives the transcript. Pause it for sensitive topics. A useful summary should not create an unnecessary copy of every conversation.

Test your AI assistant with a question your company has never answered. Does it invent a refund rule or delivery promise? For SMBs, a useful assistant must be able to say “I can’t confirm that” and route the question to a named person. Confidence is not permission.

AI audit logs need privacy controls too. For SMBs, record who acted, what changed and who approved it. Avoid copying passwords or entire customer files into every trace. Limit access and set retention periods. Good evidence should not become a second data leak.

Before sharing an AI assistant across your SMB, test it with two fictional clients. Ask about Client B after working on Client A. Check files, chat history and saved memory for spillover. One client's context should not become another client's answer.

Give AI approvals an expiry. If an agent drafts a customer email on Monday but sends it Friday, the price, recipient or promise may have changed. For SMBs, require a fresh review when key details change or an approved action sits too long. Approval should cover what actually gets sent.

Before an AI-generated number reaches a client proposal, check the source, date, units and calculation. For SMBs, assign that check to the sender. A citation can support the inputs while the arithmetic is still wrong. A polished table is not proof.

Make AI mistakes easy to report. Give staff one clear route to flag a wrong answer, unexpected action or data concern, with a named person who responds. For SMBs, thank people for catching problems early. A policy that makes everyone hide mistakes will miss the useful evidence.

Add AI workflows to your employee offboarding checklist. Who owns the scheduled runs, connectors and shared assistants after someone leaves? For SMBs, transfer each workflow to a named owner or disable it, then verify the result. An unattended agent should not become an orphan.

Before renewing an AI tool, run an exit test. Can your SMB export its work in a usable format, remove the connections and keep the workflow running elsewhere? Try it on one small process. A vendor exit plan is much more useful before you need it.

AI meeting notes should not become company policy by accident. For SMBs, separate discussion, proposed actions and approved decisions. Have the decision owner confirm the record before it triggers work. A confident summary is not an approval.

Give your SMB AI pilot an “I don’t know” test. Remove a price, expiry date or customer detail from a sample task. Does it ask for the missing fact or invent one and keep going? A useful assistant should know when to stop. Make that part of the acceptance criteria.

Day 1 of the Grok Bot Galaxy livestream was an interesting glimpse at where enterprise AI is heading. The big shift isn’t a smarter chatbot. It’s persistent AI agents that can: • Have their own computer • Work across multiple applications • Execute tasks end-to-end • Collaborate in parallel • Keep working without someone constantly prompting them xAI is putting that idea to the test by having three people build a company from scratch in three days using Grok Bot. From an AI security perspective, this is where things get really interesting. When an AI agent can log into applications, access company data, take actions and operate continuously, identity becomes critical. Organizations need to start thinking about: Who owns the agent? What permissions does it have? What data can it access? What actions can it perform? How are its activities logged and reviewed? What happens if the agent makes the wrong decision? Agentic AI could dramatically increase productivity. But every AI agent is also becoming another digital identity that needs governance, least privilege, monitoring and accountability. AI agents aren’t just coming. They’re starting to become part of the workforce. #AI #AgenticAI #AISecurity #CyberSecurity #Grok #GrokBot #xAI #AIGovernance #ZeroTrust #IdentitySecurity #NorthSecureAI

AI logs can become a second copy of your customer database. Before an SMB pilot goes live, check what gets recorded, who can read it and when it is deleted. Keep enough evidence to trace decisions; avoid collecting sensitive content just because logging is switched on.

An AI pilot approval needs an expiry trigger. New data source? New connector? Permission to send instead of draft? Review it again. For Canadian SMBs, a five-minute check when the workflow changes is more useful than an annual policy nobody opens.

Question for some of the smartest people working in AI right now: @karpathy @rasbt @AndrewYNg @drfeifei @demishassabis @GaryMarcus @ai_explorer25 @maximelabonne @chipro @ilyasut @thsottiaux @bcherny As AI shifts from chatbots to agents that can reason, code, browse, use tools, and take actions: What do you think is the biggest unsolved problem standing between today’s AI and truly reliable autonomous AI agents? Better reasoning? Memory? Planning? Hallucinations? Evaluation? Alignment? Something else entirely?

Give your SMB’s AI workflow a holiday test: if the person who built it is away, can a colleague find the owner, pause it and finish the work manually? Write that handover before expanding the pilot. Safe adoption includes the days your AI champion is offline.