Threat intel and news.Evidence before momentum.
Analysis and news for Australian leaders across AI security, ISO 42001 and ISO 27001 compliance, cyber risk, automation and technology leadership.
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Third-party cyber risk: governing the suppliers you cannot control
Most Australian breaches now arrive through a supplier. How to tier vendors by consequence, ask questions that produce evidence, write contract clauses that hold, and monitor risk between reviews.
DSPM and AI security: what enterprises get wrong about data posture
Data security posture management (DSPM) is the control that decides whether enterprise AI is safe to switch on. What DSPM does, how it maps to Copilot and agents, and how to sequence it in Australia.
Shadow AI: finding and controlling unsanctioned AI use
How Australian organisations discover unsanctioned AI tools, assess the real exposure, and bring shadow AI under governance without stopping useful work.
AI incident response: planning for when the model fails
How to extend an Australian incident response plan to cover AI failures — bad output, prompt injection, data leakage and agent actions — with clear roles and evidence.
ISO 42001 scope and leadership: getting clauses 4 and 5 right
How to define AI management system scope, identify interested parties, write an AI policy and establish leadership accountability under ISO 42001 clauses 4 and 5.
ISO 42001 AI risk and impact assessment: how to run both
How to run ISO 42001 clause 6 AI risk assessment alongside an ISO 42005 AI system impact assessment, including criteria, scoring, treatment and evidence.
AI security & compliance
Securing enterprise AI adoption: a practical AI security control set
The AI security controls that matter first — identity, data boundaries, model access, logging, human oversight and supplier assurance.
AI risk assessment: how to assess an AI system before it ships
A repeatable AI risk assessment covering purpose, data, model behaviour, integration, human oversight, failure modes and evidence.
ISO 42001 vs ISO 27001: how the two management systems interlock
What each standard covers, where they overlap, and how to run one integrated management system instead of two parallel programmes.
The AI governance operating model: roles, gates and evidence
How to design an AI governance framework that approves useful work quickly and stops harmful work early, without a committee bottleneck.
LLM and agentic AI threat model: from prompt injection to data exfiltration
The realistic attack paths against LLM and agent-based systems, and the controls that actually reduce each one.
AI vendor and model due diligence: the questions that matter
A practical due-diligence checklist covering data use, retention, tenancy, subprocessors, evaluation, incident terms and exit.
Making an enterprise AI-ready: the compliance and process foundations
The unglamorous foundations — data quality, access hygiene, process clarity, records and ownership — that decide whether AI adoption succeeds.
AI compliance in Australia: what boards must be able to evidence
The Australian AI compliance landscape — privacy, sector obligations, ethics principles and standards — and the evidence directors should expect.
An AI compliance checklist for Australian businesses
A working checklist that maps ISO 42001, ISO 27001, the Privacy Act and the Essential Eight onto one set of artefacts instead of four parallel programmes.
Privacy Act reform and AI: preparing for automated decision transparency
What tightening Australian privacy expectations around automated decision-making mean for organisations already running AI in customer-facing processes.
Microsoft Copilot for enterprises: custom experiences, DSPM and secure AI enablement
How Microsoft 365 Copilot, Copilot Studio and Copilot Cowork fit together in an enterprise, and the DSPM, data security and AI governance work that makes the rollout safe.
ISO 42001 scope and leadership: getting clauses 4 and 5 right
How to define AI management system scope, identify interested parties, write an AI policy and establish leadership accountability under ISO 42001 clauses 4 and 5.
ISO 42001 AI risk and impact assessment: how to run both
How to run ISO 42001 clause 6 AI risk assessment alongside an ISO 42005 AI system impact assessment, including criteria, scoring, treatment and evidence.
ISO 42001 Statement of Applicability: Annex A controls explained
How to work through the ISO 42001 Annex A control set, justify inclusions and exclusions, and produce a Statement of Applicability that survives audit.
ISO 42001 lifecycle controls: from design to decommission
How to implement ISO 42001 AI system lifecycle controls — requirements, design documentation, verification, deployment gates, monitoring and retirement — without stalling delivery.
ISO 42001 data governance: provenance, quality and privacy
Implementing ISO 42001 data controls — provenance, quality, preparation and labelling — and reconciling them with Australian Privacy Act obligations.
ISO 42001 internal audit and certification readiness
How to run ISO 42001 internal audit and management review under clauses 9 and 10, handle nonconformities, and prepare for Stage 1 and Stage 2 certification audits.
Shadow AI: finding and controlling unsanctioned AI use
How Australian organisations discover unsanctioned AI tools, assess the real exposure, and bring shadow AI under governance without stopping useful work.
DSPM and AI security: what enterprises get wrong about data posture
Data security posture management (DSPM) is the control that decides whether enterprise AI is safe to switch on. What DSPM does, how it maps to Copilot and agents, and how to sequence it in Australia.
AI & automation
AI readiness for SMEs: what to assess before buying tools
A practical readiness assessment spanning business value, process, data, security, governance and delivery capacity.
ISO 42001 for SMEs: a practical AI governance roadmap
How smaller organisations can use an AI management system without creating enterprise bureaucracy.
How to choose high-value AI workflow automation opportunities
A repeatable method for finding workflows with real net benefit and manageable operational risk.
Measuring AI ROI through net benefit, risk and adoption
Why hours saved is not enough, and how to build a decision-grade AI value case.
The first 90 days of AI adoption in an Australian SME
A week-by-week sequence for getting one AI use case into production safely, without a governance programme that outlasts the benefit.
Fractional CIO
When an SME needs a fractional CIO
Signals that technology has become an executive issue, and how a fractional model can close the leadership gap.
A 90-day technology roadmap for growing SMEs
A practical sequence for stabilising risk, clarifying priorities and creating delivery momentum.
Building a board-ready technology investment case
Translate technical need into value, exposure, decision paths and an accountable execution case.
Vendor rationalisation: cost, resilience and lock-in
How SMEs can reduce supplier complexity without creating a new concentration or transition risk.
Fractional CIO vs virtual CISO: which leadership model fits
How Australian organisations should choose between a fractional CIO and a virtual CISO — scope, accountability, cost, and when one accountable leader covers both.
Cyber & risk
A risk-based cybersecurity roadmap for SMEs
Build a sequenced cyber programme around business exposure rather than an unprioritised control list.
ISO 27001 vs Essential Eight for Australian SMEs
How the management-system and technical-control approaches differ, overlap and can work together.
AI vendor security due diligence
Questions and evidence for assessing AI suppliers across data, models, identity, contracts and exit risk.
Reporting cyber risk to a board without technical noise
A board reporting structure centred on exposure, decisions, evidence and accountable action.
Network design security for large enterprises: beyond the perimeter
How to design, segment and operate a secure enterprise network that supports zero trust, resilience and Australian regulatory expectations.
AI incident response: planning for when the model fails
How to extend an Australian incident response plan to cover AI failures — bad output, prompt injection, data leakage and agent actions — with clear roles and evidence.
Third-party cyber risk: governing the suppliers you cannot control
Most Australian breaches now arrive through a supplier. How to tier vendors by consequence, ask questions that produce evidence, write contract clauses that hold, and monitor risk between reviews.