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From DLP to AI Guardrails: How SASE Can Secure the AI-Enabled Workforce
For years, security teams have asked whether sensitive data is leaving the organisation. AI has quietly shifted this focus.
AI has not created a new problem; it has changed an existing one.
Users can now input sensitive information into AI tools, request summaries or analyses, and receive outputs that may still contain confidential data. Traditional...
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Traditional Wi-Fi upgrades focus on replacing access points to achieve faster speeds. However, with Wi-Fi 7, this approach is no longer sufficient.
The...
Australian organisations are under growing pressure to prove that the information they hold is protected.
Clients ask for evidence before signing, regulators...
What is spear phising?
Spear phishing is a targeted form of phishing in which an attacker researches a specific person or role, then sends a personalised...
Healthcare boards operate in an environment where trust is earned through consistency. Consistency of care, consistency of safety outcomes, and consistency...
In highly regulated sectors, audit outcomes carry significant weight. Clean results against prudential standards or critical infrastructure obligations...
Healthcare governance has long focused on assurance. Accreditation results, audit findings and compliance reporting provide boards with important signals...
Across critical infrastructure and financial services, compliance maturity has increased markedly. Boards oversee detailed reporting against the Security...
Australian universities have invested heavily in digital platforms, but the student and staff experience has not kept pace. Here’s where the cost of fragmentation...
AI works best when it plugs into the systems and workflows you already have to reduce friction and automate routine admin to free up your staff. Here's...
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