“Companies that deploy siloed security tools can only collect data in isolation. The resulting blind spots slow response times and overwhelm teams with uncorrelated alerts.”
A unified approach to data
Organisations don’t really lack information, but rather, the means of making sense of it in time to identify and respond to these concerns. To eliminate the dangerous blind spots created by siloed tools, forward-thinking organisations are unifying their data from endpoints, networks, and cloud environments onto a single platform. This allows security teams to spend less time sifting through endless alerts and instead search across all their data to respond more swiftly to prioritised threats.
By treating security as a data problem, organisations can have a unified view of their IT environments, providing much-needed visibility into security events across a wide range of sources like internal systems and network-related logs. For Australian businesses facing tight budgets and ongoing skills shortages, focusing on their data provides stronger protection at a lower cost.
“This is a core benefit of a unified platform, as it helps staff better focus on the serious threats instead of being buried in an overwhelming number of security alerts. This unified approach fundamentally changes how security teams operate,” explains Andress.
“Being able to search and analyse data from multiple sources across your organisation with a single solution allows cybersecurity teams to spend less time sifting through alerts and respond more swiftly to prioritised threats instead,” she says.
More importantly, it gives executive teams genuine confidence that the organisation’s reputation is safeguarded, and its regulatory obligations have been met. This is important because trust has become one of the most valuable assets a business can hold. Customers, regulators and partners now expect organisations to be able to prove their data is always managed securely and transparently.
Looking ahead, the threat landscape is evolving rapidly, with attackers increasingly using AI to craft more convincing phishing campaigns, develop evasive malware and automate attacks at scale.
“From an attacker’s perspective, AI is being used to streamline reconnaissance and execute attacks at scale, making it imperative for businesses to adopt a proactive cybersecurity strategy,” says Ivano Bongiovanni, a senior lecturer in Cybersecurity Management at the University of Queensland School of Business.
At the same time, the shift to cloud-first environments has created new complexities that can easily lead to cyber breaches. According to the latest Elastic Global Threat Report (GTR) 2025, attacks in cloud environments are highly focused, with over 60 per cent of incidents targeting initial access, persistence, and credential access.
“As cyber threats evolve, the role of AI in cybersecurity becomes increasingly critical,” says Bongiovanni. “The rise of ransomware attacks, particularly those employing double and triple extortion tactics, underscores the urgency for organisations to adopt a risk-based approach to cybersecurity.
“With supply chain attacks on the rise, it’s essential for businesses to consolidate their data management strategies to safeguard their networks and maintain consumer trust.”
Over the next five years, it is likely cybersecurity will become even more deeply embedded into businesses’ operations, with AI and automation taking a more active role. This will free people to focus on higher-order analysis and strategic decision-making, helping firms turn a data-driven approach to cybersecurity into a foundation for long-term business success.
Elastic’s Search AI Platform combines leading search technology with AI to power Elastic Security, a solution that organisations can run out-of-the-box. Elastic Security’s open architecture combines unified analytics and AI to enable detection, investigation, and response at scale without moving or duplicating data.
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