Reassess Vendor Dependence and AI Access for Cyber Resilience

What happened

Australian cyber experts warn that third‑party vendor risk is increasing after several incidents tied to external providers, including a Queensland Department of Education breach. The coverage highlights that many organisations lack mature third‑party risk programs and that schools and critical sectors are especially exposed; watch whether buyers start requiring standardised supplier attestations and oversight

Why the category manager should care

Treat supplier governance, evidence of controls, and onboarding checks as procurement levers because vendor failures are an operational attack vector

Key facts

• Recent incidents linked to third‑party providers impacting education and public services
• Only 30% of Australian organisations reported having optimised third‑party risk programs
• Research cited that 99% experienced negative impacts from a supply‑chain breach

What happened

Kinetic IT warns that access to AI models is a business‑continuity risk after a public restriction on a popular model. The key operational point is that control over access often rests with model providers, not buyers, so procurement needs clauses and contingency options

Why the category manager should care

Require clarity on who controls access and how changes are communicated because sudden restrictions can halt production services

Key facts

• Public example: restricted access to a named model (Fable) used by customers
• Observed shift: organisations need to treat AI availability like any other supplier continuit

What happened

Gartner analysts describe a new AI era driven by agents, rising costs, and widely varying maturity levels among enterprises. The operational consequence is that buyers need cost controls, governance and monitoring for agentic systems before adoption scales

Why the category manager should care

Add cost‑monitoring, token‑usage visibility and governance requirements into sourcing because agentic AI can rapidly raise operating costs

Key facts

• Around one in five organisations reported agentic systems in production
• Chandrasekaran has observed widespread experimentation with these models across APAC, in both
• As enterprises move beyond pilot programs, many are discovering that AI budgets are more diff
• Only 17 per cent of organisations have reached what the firm classifies as a high level of AI

What happened

Check Point's Exposure Gap Report shows a shift: vulnerabilities now account for a much larger share of critical exposures, concentrating risk inside software and internal information disclosures. That makes validated exploitability the key triage metric—buyers should insist on fast‑track remediation for critical exploitable findings

Why the category manager should care

Prioritise validated exploitable vulnerabilities in vendor SLAs and acceptance criteria because not every alert carries the same risk

Key facts

• Vulnerabilities account for 42.6% of critical exposures (reported in the study)
• Only 7.8% of vulnerability alerts are validated as exploitable but these require fast closure

What happened

PagerDuty research finds high rates of unauthorised AI tool use by office staff, including entry of customer and financial data into public services. Operationally, that means policy and technical controls are not keeping pace with employee behaviour and require procurement and legal input to close gaps

Why the category manager should care

Treat employee AI use as a sourcing and compliance control area; include allowed tool lists and supplier responsibilities in contracts

Key facts

• Survey found 70% of office professionals used AI tools at work despite believing it was disal
• 40% reported entering customer data into public AI services