WEBINAR SERIES: Three cyber security questions every business owner has to answer.

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30 SEPT, 28 OCT, 25 NOV | 1:00PM - 1:40PM AEDT

Online Format | Join us via Microsoft Teams

secure your place

Three questions every business has to answer

Who is trying to access your business? What are they able to reach once they are in? And are they using a safe device to do it? Strong cyber security is not one thing. It is these three critical elements working together, and cyber security lives where they overlap.

Why attend all three
Identity, Data and Endpoint answer who, what and do we have safe devices. Ensure you watch all three to understand your cyber security position.

One sign up registers you for the three sessions
Register once and we take care of the rest, we’ll sign you up to all three. Turn up over lunch and we will send everything else to you.

The full picture
Each session stands on its own, together they give you a complete, map of where your business is strong and where it is needs some work.

What you'll walk away with

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September 30th: Identity Protection

Who is trying to access your business?  We cover changes coming to multifactor authentication through the use of Passkeys. We explain how your systems are able to verify that you are the person you’re claiming to be, what is single-sign-on and what are the security benefits.

You will leave with: a short identity checklist you can run against your own firm this week.

October 28th: Data Protection

What is encryption? We cover knowing where your information lives, deciding who should see it, keeping secure backups, and preventing information being accidentally shared or lost.

You will leave with: a simple map of the data lifecycle and what you should be concerned with at each stage.

November 25th: Endpoint Protection

Are they using a safe device? What is the meaning of having a compliant device and how does the mobile device management assist with this.

You will leave with: a device readiness checklist for laptops, phones and servers, plus the full three pillar picture.

Webinar Format will be a 40 minute lunch and learn

Forty minutes, designed to fit a lunch break. Daniel opens talking on the topic and why it matters to your business.

He is then joined by a guest expert for a relaxed conversation on real business risks and what good looks like. The last ten minutes are yours, for live questions.

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Can’t make it live?
Register anyway. Every session is recorded and sent to you, along with its takeaway checklist, so you never miss out.

Who it is for
The series is open to Danet clients, prospective clients and new guests. Whether you are reviewing your current setup or starting from scratch, you will leave with something practical.

Save your seat
Register once for all three sessions. We will send the calendar invitations, reminders and replays.

SAVE YOUR SEAT AT THIS WEBINAR SERIES

30 SEPT, 28 OCT, 25 NOV | 1:00PM – 1:40PM AEDT

REGISTER NOW

AI & Actionable Insights in 2026 Guide for AFSL Holders

AI & Actionable Insights in 2026 Guide for AFSL Holders

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Download the guide

AI & Actionable Insights in 2026

A 5 minute read for Australian financial services executives. Covers Danet’s survey of financial services firms, the account type rule, four risk areas, and three executive moves for the next month.

Your team is using artificial intelligence today, in tools you may or may not have approved. Inside a regulated financial services firm, that creates new questions about client privacy, supplier risk, and the version of every Microsoft, Google or OpenAI product your staff are actually logged into.

Written for executives, read in five minutes, designed to be forwarded to your information technology partner or compliance lead.

Whats Inside

  • Headline findings from the Danet Artificial Intelligence Experience & Insights Survey
  • The 5 AI tools your team is most likely already using
  • The account type difference: personal, enterprise and tenant bound Microsoft 365 Copilot Chat
  • The 4 risk areas specific to a regulated financial services firm
  • The 3 executive moves for the next 30 days

How AI hallucinations could land for AFSL holders

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How AI hallucinations could land for AFSL holders

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What the legal profession has already learned about AI, and the simple step Australian financial services firms can take this week.

With 90% of industry leaders believing AI will improve service and efficiency in their firms,attention is now turning to how this technology is integrated into everyday workflows, and how its behaviour shapes outcomes.

A specific pattern emerging is AI hallucinations, where AI recognises objects or patterns that don’t exist or that humans are unable to see.

The problem with this? Inaccurate, invented responses, with no supporting evidence or insight, and errors hard to detect due to the confidence AI responds with.

AI is going to be part of every Australian financial services organisation, the right approach is choosing the version that protects your client data.

AI hallucinations in the real world

In 2023, AI hallucinations appeared in the legal case of Mata v. Avianca. An attorney was representing an injury claim for a client, using ChatGPT this produced references that did not exist in the legal research.

It also falsely claimed the references came from a reputable legal database, revealing how far AI can go in producing inaccurate outputs.

The knowledge base AI utilises continued to be undermined. From 2023-2025, cases like these kept emerging, with judges worldwide issuing hundreds of filings, 90% of them in 2025 alone.

For AFSL holders, in a Statement of Advice, this can land as AI-generated errors appearing as verified content, which risks consumers being misled by incorrect facts and insights.

Why this matters to AFSL holders

AFSL holders need to ensure that consumers aren’t unethically treated through vulnerability exploitation and potential AI bias.

The accuracy of insights and facts produced to consumers must also oblige ensuring AI information isn’t misleading, unexplained, or inaccurate.

Under directors’ duties, responsibilities must be undertaken carefully and diligently when considering reliance on information from AI and the risk that it holds.

Without upholding these obligations, an uncaught hallucination in a Statement of Advice, client email or compliance file note becomes an AFCA complaint, a breach report, and a remediation bill the licensee carries.

A confident approach to AI

For AFSL holders to ensure they can meet these obligations, Microsoft 365, specifically Microsoft Copilot, is a safe way to implement AI. Designed specifically for enterprise, Copilot operates within an organisation’s tenant.

The benefits of Microsoft 365 involve:

Data protection and strict permissions: Adheres to an organisation’s existing data permissions and information, no exposure of organisational data to train the public AI model.

Automated compliance:Finds regulatory changes and prepares for audits, allowing adherence to compliance standards.

Microsoft purview:Prevents unauthorised data sharing, monitors AI prompts, and classifies sensitive data.

Many organisations already have these capabilities within their environments, they just haven’t been optimised yet. For financial services organisations, accuracy can be enhanced through role-specific AI agents, allowing for automated data reconciliation.

Reliable and permitted outputs can also be achieved through a strong SharePoint architecture and governed data access, allowing Copilot to search through categories.

The next 3 steps

There are a series of steps AFSL holders can take to ensure continued confidence within their environments.

  1. Embed Copilot through existing applications and actively update databases
  2. Ensure data governance through implementing restrictions and Microsoft Purview
  3. Updating policies around AI that mandate human review

These measures ensure Copilot can function optimally in your environment while maintaining data and access governance supported by updated AI policies.

Why Danet

With AI being part of how financial services will operate in 2026 and beyond, hallucinations will progressively surface.

Those who move first with the right version of AI will benefit from the productivity without the privacy risk.

Danet works with organisations to align Microsoft 365 and Copilot to their environments to ensure confidence and compliance with the use of AI, through designing and continuing to update the structures of databases and workflows.

These themes are further explored in Danet’s AI Guide for AFSL Leaders, determining how AI capabilities can be implemented into Microsoft 365 environments and how governance oversight shapes this.

Download the Guide

AI is already in your environment: understanding how different tools interact with your data

AI in your environment

AI is already in your environment: understanding how different tools interact with your data

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AI is used in 69% of businesses weekly across Australia, whether it’s Copilot, ChatGPT, Claude, Gemini or another platform.

This is changing how every business operates and how day to day processes are completed. Confidential information, client accounts and internal documents are most likely being passed through or viewed by AI multiples time a day. In many businesses, AI is in contact with this information without clear oversight on how these systems are being used or where organisational data is being retained.

Do know how AI is being used in your workplace? Have you tested access to internal documentation?

The type of AI platform makes a difference

Copilot operates within Microsoft 365 through Entra ID and existing Microsoft permissions. The information it surfaces reflects the same access structures already governing collaboration inside SharePoint, Outlook and Teams. This keeps AI activity connected to the identity and access controls already established across the environment.

External AI platforms operate differently. ChatGPT, Claude and Gemini are commonly accessed through browser sessions or personal accounts operating outside Microsoft 365 governance oversight. Staff may paste client information or internal notes into these tools during routine work. Once information enters those platforms, the organisation may have limited oversight around retention model usage or where that information is processed.

AI capability is also becoming embedded into software already used across financial services environments. Meeting intelligence tools can generate summaries from conversations while CRM platforms surface AI-driven prompts during workflow activity. Research platforms now return AI-generated responses inside the application itself.

Over time, organisational data begins moving through multiple AI environments operating under different data handling conditions.

Identity and access can change AI behaviour

Identity governance plays a larger role in how organisational data is surfaced across the organisation.

Microsoft 365, Entra ID defines the identity boundary through which Copilot interacts with information. Existing permissions determine which content available through your Microsoft Modern Workplace can appear through AI-driven search and summarisation. Records and internal knowledge continuously move between collaboration spaces during normal work. AI systems now interact with that same information structure, which places greater importance on maintaining access aligned to operational responsibility.

As AI capability expands identity governance further shapes how confidently organisations can maintain control over the information AI systems can access throughout the environment.

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AI increases visibility into operational maturity

AI systems are interacting broadly with organisational data, this means the maturity of the environment becomes easier to observe.

Information ownership remains clearer when access responsibilities continue reflecting how teams currently operate across the organisation. Permissions also remain easier to govern when environments are reviewed as collaboration patterns evolve over time.

This is shifting AI governance discussions toward the condition of the environment itself. Organisations with clear ownership and structured access practices are often better positioned to introduce AI capability into connected workflow activity.

AI capability reflects the maturity of the environment it operates within.

Financial services environments carry additional governance expectations

Questions around governance oversight are important in financial services firms as AI systems begin interacting with client information.

For many AFSL holders here are some practical questions you should be asking.

  • Which AI platforms are staff already using during client-related work?
  • Are staff entering regulated information into personal AI accounts?
  • Which AI tools retain prompts or uploaded material outside the organisation?
  • Does the business have oversight around where AI-generated outputs are stored or shared?
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Why Danet

Danet works with organisations to structure Microsoft 365 environments where governance oversight remains aligned with the way AI capability evolves across connected platforms and the information within them.

Within financial services environments, this includes maintaining oversight around how AI systems interact with information moving through regulated workflow activity.

For financial services organisations, these themes are explored further in Danet’s AI Guide for AFSL Leaders, which examines how governance oversight shapes the way AI capability is introduced across connected Microsoft 365 environments.

Download the guide now

The Opportunity and Risk of AI

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The opportunity & risk of AI:

Preparing for 2026 with secure data foundations

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By the conclusion of 2026, AI will be built into how teams analyse data, manage compliance, and serve customers.

The opportunities with AI in 2026 are transformative, built into how teams analyse data, manage compliance, and serve customers with greater efficiency, faster insights, and more informed decisions.

AI only delivers value when the data beneath it is clean, secure, and governed. Without that foundation, businesses risk exposing the very information they are trusted to protect.

This year Danet Technology is focusing on how AI is transforming businesses across Australia. We want to know what you have planned for AI and help you understand what AI has planned for you. AI only delivers value when the data beneath it is clean, secure, and governed.

Without that foundation, financial organisations risk exposing the very information they are trusted to protect.At Danet, we have been asking our clients, what they have planned for AI in 2026, but sharing what AI has planned for you is equally important. ​

The AI opportunity

AI is already reshaping the way financial organisations operate. Tools like Microsoft Copilot are helping teams produce reports, manage workloads, and interpret data more effectively. Across lending, compliance, and advisory functions, automation is removing manual steps and surfacing insights faster than ever before.

In 2026, AI will play an even deeper role, supporting strategic decisions, identifying anomalies in real time, and enhancing customer experience with personalised, data-driven service. 
For leaders, the potential is clear with higher productivity, more reliable insights, and faster innovation.

But opportunity and exposure grow in parallel. As AI systems become more capable, they also depend on and reveal more of an organisation’s data.

The risks of ungoverned AI

When AI has unrestricted visibility across an organisation, it does not distinguish between what can be accessed and what should be.

In early Copilot deployments, many organisations discovered how easily sensitive information surfaced in search results and summaries. Files stored in shared drives, test folders, or outdated repositories appeared in new contexts, sometimes exposing data that was never intended to be seen again.

This is a governance issue. 
 
Confidential client information, compliance reports, and internal assessments can all appear where they do not belong if permissions and classifications are not aligned.

AI does not create new weaknesses.
It highlights where existing ones have been ignored.

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Building secure data foundations for AI

Preparing for AI is about strengthening the environment that supports innovation.

A secure data foundation allows AI to operate safely, enhancing productivity while maintaining trust.

Your businesses practical steps for readiness include

  1. Data classificationClearly define what information is confidential, internal, or public. Without this baseline, AI models have no context for what should remain restricted.
  2. Access control Review and enforce permissions across shared and legacy storage. Outdated access lists are one of the most common causes of accidental exposure.
  3. Governance frameworks Update internal policies to reflect how AI tools interact with files, chats, and collaboration spaces.
  4. Audit and visibility Establish monitoring and reporting to understand how AI queries and surfaces data.
  5. User awareness Educate staff that AI summarisation and search functions depend on access, and that sharing or storing data incorrectly can have broader consequences.

These are not new concepts for organisations. They are familiar disciplines applied through a modern lens. Governance and compliance frameworks already exist. They now need to evolve to match how information flows through AI.

Readiness means building the right environment for AI to operate with control, clarity, and confidence, supported by policies that continue to evolve.

Looking ahead to 2026

The next 18 months will shape how businesses balance innovation and integrity. AI is here. However, how you shape what that means for you and your business is what matters first. At Danet Technology, we have seen how small improvements in structure, classification, and governance can transform readiness for AI. Keen to learn more about how we can help you through this process?
EXPLORE

ROUNDTABLE: AI & Actionable Insights for Business Leaders

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March 30 | 4:00pm AEDT

Hybrid Format | Join us in Sydney or Online via Microsoft Teams

secure your place
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AI is everywhere.

What’s missing is a practical, honest conversation about how it improves business performance.

This event is designed as aleadership round table.

We will discuss what is really happening in the market, what business leaders are implementing, and where AI is delivering measurable results.

Hear from Industry Experts

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Daniel Butt

Founder & CEO, Danet Technology

Over 21 years leading secure technology strategy for Australian businesses. Daniel works closely with organisations navigating governance, compliance, operations and growth in increasingly complex digital environments.

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Phil Meyer

Former Microsoft Leader | 45+ Years in Enterprise Technology

Phil brings more than 45 years of experience in business systems, enterprise transformation and applied AI. Having worked extensively inside Microsoft and with enterprise organisations, he offers deep insight into how AI is being implemented beyond basic productivity tools.

A roundtable discussion

Together, Daniel and Phil will facilitate a practical, open discussion grounded in real world scenarios.

You will:

  • Hear the current state of play in AI adoption
  • Review insights from the AI & Your Business survey
  • Participate in a guided round table discussion
  • Engage in live Q&A
  • Hear perspectives from industry peers and colleagues

This session is structured around conversation and shared insight.

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Attend In Person or Online

If you are based in Sydney, you are warmly invited to join usin person at the Danet Technology office.

Light refreshments will be provided.

The session will integrate both in-room and remote speakers to ensure full participation and a genuinely great experience.

Your voice will be important within this conversation and encourage you to participate throughout the engagement.

What we will discuss:  

  1. Business process improvement and system connection
    We will explore how leaders are using AI to improve operational performance, reduce friction and make more informed decisions  
  2. Practical, relatable examples for small to medium enterprises
    We will focus on tangible applications suited to SME’s to improve efficiency, accuracy and continuity.   
  3. Customer experience
    We will discuss how organisations are improving customer interactions through AI as a competitive advantage. 
  4. AI applications and tools
    There is significant confusion around tools such as Copilot, Gemini and Claude. We’re here to clarify those for you.

SECURE YOUR PLACE AT THE ROUNDTABLE

Register for the AI andActionable Insights for Business Leaders Hybrid Roundtable

* Survey Completion is required before attending the session

REGISTER NOW

Who should attend?

  • Business Owners
  • Managing Directors
  • General Managers
  • Risk & Compliance Leaders
  • Technology Decision Makers

If AI sits anywhere on your 2026 roadmap, this session is for you.

Attendance Requirement

To participate in this roundtable, you are required to complete the AI & Your Business Survey after registering.

The survey responses form the foundation of the session insights. Completing it ensures the discussion reflects real market conditions, practical implementation experiences, and meaningful benchmarks for 2026 planning.

AI & Your Business in 2026 Survey

Take the survey → Help shape the agenda
Take the Survey