As a renowned cybersecurity provider for businesses in Australia, AI has fast become a central part of the solutions we offer our clients.

AI has become a core part of cybersecurity in recent years, with machine learning being one of the most transformative applications of this technology in the field. The use of ML as a tool to detect, recognise, and predict security threats is a genuine game changer in cybersecurity. Australian organisations are projected to spend over AUD $7.5 billion on information security in 2026, a 9.5 per cent increase from 2025, driven largely by escalating AI-powered threats and the need for AI-powered defences to match them.

With artificial intelligence, cybersecurity systems are equipped to analyse huge amounts of data, note patterns, and make smart decisions at higher speeds than humans. In this post, we explore the practical examples of AI in cybersecurity, its benefits, and the rapidly evolving threat landscape businesses must now prepare for in 2026.

The 2025/2026 AI Cybersecurity Landscape in Australia

The cybersecurity environment in Australia has shifted dramatically over the past 18 months. According to industry research, 38 per cent of successful breaches in Australia now involve AI-enhanced techniques. Cybercrime costs have surged across all business sizes: large Australian organisations (200 or more employees) experienced a 219 per cent increase in average cybercrime costs, reaching $202,700 in 2025. Medium businesses saw a 55 per cent jump to $97,000, and small businesses a 14 per cent increase to $56,600.

Australian organisations reported a 156 per cent year-over-year increase in successful AI-enhanced phishing attacks in 2025. AI-generated phishing campaigns are now 95 per cent harder to detect than traditional attacks, because they reference specific projects, mimic communication styles, and arrive through channels that previously felt safe. The threat is no longer theoretical. It is active, scalable, and targeting Australian businesses of all sizes right now.

What Are Some Examples of AI in Cyber Security?

AI provides a smarter, faster approach to cyber threat detection and response. This helps businesses avoid significant losses that come from cyber attacks and maintains business continuity. Here are practical examples of how AI is used in cybersecurity today:

Threat Pattern Recognition

AI systems are highly effective at identifying unusual or malicious activity across different networks. The technology continuously learns from normal behaviour patterns to detect unexpected login attempts, unauthorised data transfers, and other indicators of a security breach in progress.

Automated Recommendations for Threat Response

AI provides security teams with clear, actionable steps to take when it detects inbound threats. Instead of sifting through raw data, your cybersecurity professional will receive insights on the best next steps to stop any attack attempt in its tracks.

Autonomous Threat Mitigation

Some advanced AI systems can act without human input in high-risk or time-sensitive scenarios. If your system detects a known malware strain, AI can isolate infected devices, block suspicious traffic, or instantly revoke access privileges to contain the threat before any human even receives an alert.

Detection of Known and Emerging Attacks

AI can identify a wide range of cyberattacks, from well-known threats like SQL injection and cross-site scripting to new attack patterns that have not yet been documented. AI deep learning models are trained on historical data and keep evolving to keep up with new attack methods.

Phishing Email Identification

Phishing emails remain the most common initial attack vector for cybercriminals. Using Natural Language Processing (NLP) techniques, AI can scan and interpret email content for suspicious language, tone, or intent. This helps filter out phishing emails before they reach employees, reducing the risk of human error considerably.

What Are The Positive Effects of AI In Cybersecurity?

AI makes it easier and faster to detect cyber threats and stop them before they cause serious damage. This technology can learn continuously and analyse complex data sets in real time, enabling it to provide powerful benefits that strengthen an organisation’s overall security posture. AI-powered security systems can detect threats 60 per cent faster than traditional tools and analyse millions of events in real time.

Complete Visibility

AI-powered tools can scan and map every device, user, application, and data point connected to your network. This helps businesses maintain an accurate, current inventory of IT assets and understand which assets are most critical to protect at any given time.

Smarter Risk Prioritisation

By constantly updating itself on global cyber threats and industry-specific risks, AI helps organisations focus their defences where they matter most. It evaluates the likelihood and potential impact of different threats so organisations can make smarter, evidence-based security decisions.

Improved Security Tool Performance

AI detects threats and also evaluates how well your current security tools are working. This enables the identification of gaps and redundancies in your cybersecurity strategy, helping you improve defences and channel resources to the right solutions.

Behavioural Biometrics

AI can analyse user behaviour, including typing speed, mouse movements, and login habits, to detect if a session is being hijacked or if a credentialed user is acting suspiciously. These insights allow for adaptive authentication or immediate session termination when something seems wrong.

AI as a Weapon: The Other Side of the Equation

The same capabilities that make AI a powerful defensive tool are being used by cybercriminals with increasing sophistication. This reality defines the current cybersecurity landscape for Australian businesses and is something every organisation needs to understand.

AI-Generated Deepfakes and Social Engineering

Cybercriminals are using generative AI to produce convincing deepfakes, impersonate IT helpdesk staff, and conduct multi-stage social engineering operations against Australian businesses. Identity-centric attacks have overtaken traditional network intrusions as the preferred method for gaining access to corporate systems. A single compromised account can give an attacker access to email, cloud storage, financial systems, and communications all through one authenticated session.

AI-Powered Malware

AI-powered malware can learn from its environment, evade detection, and modify its code in real time. Attackers are using generative AI to create custom malware, reducing the time between initial access and achieving their objectives from weeks to hours. Automated vulnerability scanning tools now identify and exploit weaknesses at machine speed, leaving far less time for defenders to respond.

Internal Risks from AI Tools

An important and often overlooked risk is employees uploading sensitive business data to public-facing AI tools. When a staff member pastes a client email into a consumer AI assistant or uses an AI tool to summarise a confidential document, that data may be processed by a third-party provider outside your organisation’s control. Establishing a clear AI acceptable use policy is now a foundational element of modern cybersecurity practice.

What is the Future of AI in Cyber Security?

Cyber threats have become more sophisticated, so the role of AI in cybersecurity is more important than ever. AI’s ability to learn from huge amounts of data means it can adapt to new attack methods faster than traditional tools. By 2028, over 75 per cent of enterprises are predicted to use AI-amplified cybersecurity products for most use cases, a significant increase from less than 25 per cent in 2025.

With advancements in machine learning, generative AI, predictive analytics, and autonomous security operations, AI is shaping a future where cyber defences become smarter, faster, and more proactive. For Australian businesses, partnering with a managed cybersecurity provider that is already deploying AI-powered detection and response tools is the most practical way to benefit from these developments without building the capability from scratch.

Frequently Asked Questions

How is AI being used in cybersecurity in Australia?

Australian cybersecurity providers are using AI for threat detection, automated incident response, behavioural analysis, phishing identification, and vulnerability management. The Australian government has also invested significantly in AI-assisted security capabilities as part of its 2023 to 2030 Cyber Security Strategy.

Are AI-powered cyberattacks a real risk for small businesses?

Yes. AI-powered attacks are highly scalable, meaning attackers can target many organisations simultaneously at low cost. Small businesses are frequently targeted precisely because they have valuable data and weaker defences than larger organisations. The 14 per cent increase in average cybercrime costs for small Australian businesses in 2025 reflects this ongoing reality.

What should my business do about AI security risks?

The most important steps are implementing multi-factor authentication, keeping all software patched and updated, deploying endpoint detection and response (EDR) tools, establishing a clear AI use policy for staff, and working with a managed cybersecurity provider who can monitor your environment continuously. These steps align with the Australian Signals Directorate’s Essential Eight framework.

Contact Otto IT to discuss your cybersecurity posture and how AI is reshaping both attacks and defences for Australian businesses in 2026.