Oct 12, 2026ZynexAI Security Assessment: 8 Risks Australian Businesses Must Check Before Deploying AI
AI Security Assessment: 8 Risks Australian Businesses Must Check Before Deploying AI
What Do AI Security Companies in Australia Actually Do?
AI security companies in Australia test, harden and govern the AI tools a business uses or builds. That includes chatbots, AI agents, private language models and the data flowing into them. The aim is to stop AI from leaking data, being tricked by malicious inputs or acting beyond its permissions.
Traditional cyber security protects networks, devices and logins. AI adds a new layer on top. A chatbot can be talked into revealing its hidden instructions, and an agent connected to Xero or a CRM can be steered by a poisoned email into actions nobody approved.
These threats now have a shared reference point. The OWASP Top 10 for LLM Applications lists risks such as prompt injection, insecure output handling and excessive agency, and serious providers test against it. The AI security and risk management guide from Zynex shows how these risks appear in everyday business systems.
Regulation is the second driver. From 10 December 2026, organisations covered by the Privacy Act must explain in their privacy policy when a computer program makes, or substantially helps make, decisions that could significantly affect people. The OAIC released its final guidance on 30 September 2026, so the clock is real.
Here's an honest view: most small and medium businesses don't need a 1,400-person consultancy. They need a provider that understands how their specific AI tools connect to their data. So how do you find that provider?
How to Shortlist AI Security Services in Australia
A list of names only helps if you know what you're buying. Work through these steps before you send a single enquiry.
- Map every AI tool you use. List chatbots, copilots, AI features inside existing software and anything staff use on their own. Shadow AI is usually the biggest gap.
- Rank the data each tool touches. Customer records, health information and financial data push a tool to the top of the list. Public marketing copy sits at the bottom.
- Decide whether you need testing, governance or both. Testing finds technical holes. Governance sets the policies, approvals and records the Privacy Act now expects.
- Match the provider to your size. A national firm suits a listed company with a board risk committee. A specialist or AI-focused partner usually suits a 20 to 200 person business better.
- Ask for a sample report. A good provider will show you a redacted report with clear findings, risk ratings and fixes your team can actually apply.
- Check what happens after the report. Some firms only test. Others can fix what they find, which saves you briefing a second supplier.
If you're still deciding which AI projects are worth the risk at all, an AI feasibility analysis is a sensible step before any security work. It's cheaper to secure three well-chosen tools than ten rushed ones.
With that checklist in hand, here are the providers worth a look.
10 AI Security Companies in Australia to Consider in 2026
The list mixes national cyber firms, Big Four advisers and smaller specialists. Each one suits a different buyer, so read the "best for" line first.
| Company | Based | Best for | AI security focus |
|---|---|---|---|
| Zynex Technologies | Melbourne | SMBs building or running custom AI | Secure AI builds, agents, private LLMs |
| CyberCX | National | Large organisations needing scale | AI pen testing, governance, managed SOC |
| Mileva Security Labs | Canberra | Government and AI-specific policy work | AI security policy, risk, training |
| Malware Security (MalSec) | Canberra | Defence and government suppliers | AI security assessments, IRAP, red teaming |
| Sekuro | Sydney | Mid-market and enterprise GRC | ISO/IEC 42001 certified, managed security |
| Penva Security | Sydney and Melbourne | Fixed-scope LLM app testing | OWASP LLM Top 10 testing |
| Gradient Institute | Sydney | Independent, research-led assurance | AI risk, governance design, evaluation |
| KPMG Australia | National | Boards wanting ISO 42001 alignment | AI assurance, Trusted AI framework |
| PwC Australia | National | Independent assurance for audit committees | Assurance for AI |
| Mantel Group | National | AWS-based data and AI platforms | Data and AI governance, adversarial AI readiness |
1. Zynex Technologies
Zynex builds the AI it secures, which changes the conversation. Instead of handing over a findings report, the team designs secure custom AI solutions with access controls, data boundaries and logging built in from day one.
- Best for: Australian SMBs adding chatbots, voice agents or AI inside Odoo, Zoho or Salesforce
- Services: AI risk reviews, private LLM hosting in Australian cloud regions, secure agent design
- Proof: Ships voice AI in production through its CareCob platform
2. CyberCX
CyberCX is one of the largest cyber firms in Australia and New Zealand, now part of Accenture, with more than 1,400 security and cloud professionals. Its secure AI practice covers AI penetration testing for prompt injection, model extraction and adversarial attacks, plus governance aligned to the NIST AI RMF and ISO 42001. It's a strong fit when you need a 24/7 security operations centre watching AI workloads.
3. Mileva Security Labs
Founded in Canberra in 2023 by Harriet Farlow, Mileva focuses only on the security of AI systems. With Malware Security, it won a contract from the Australian Bureau of Statistics to build an AI security framework and risk assessment guidance. Expect deep expertise in AI security policy, risk and team training rather than general IT support.
4. Malware Security (MalSec)
MalSec is a Canberra cyber firm with Defence Industry Security Program membership and security-cleared staff. It lists AI security assessments alongside penetration testing, red teaming, code reviews and IRAP assessments. That makes it a natural choice for suppliers to government.
5. Sekuro
Sydney-based Sekuro was founded in 2021 and joined Insight Enterprises in late 2025. In April 2026 it achieved ISO/IEC 42001 certification for its own AI management system, assessed by BSI. Its strength is governance, risk and compliance, including IRAP, backed by 24/7 managed security.
6. Penva Security
Penva runs manual AI and LLM penetration testing aligned to the OWASP Top 10 for LLM Applications. Tests cover prompt injection, RAG data leakage, agent tool abuse and cost-abuse attacks. Published pricing starts around AUD 2,000 to 2,500, with a free retest within 60 days, which suits a single chatbot or AI feature.
7. Gradient Institute
Gradient Institute is an independent not-for-profit research organisation in Sydney. It offers AI risk assessment, governance design and independent evaluation of AI systems against established standards. Choose it when credibility and independence matter more than speed.
8. KPMG Australia
In October 2024, KPMG Australia became the first organisation in the world to gain BSI certification to ISO/IEC 42001. Its AI assurance services and Trusted AI framework suit boards that want governance mapped to a recognised standard.
9. PwC Australia
PwC launched its Assurance for AI service in June 2025. It gives an independent view of an AI system's integrity, reliability and fairness, and tests the governance and controls around it. It's built for audit and risk committees, not quick technical fixes.
10. Mantel Group
Mantel Group is an Australian and New Zealand owned consultancy with 900+ technology specialists and deep AWS credentials. Its data and AI governance work includes adversarial AI readiness and security frameworks for AWS, Databricks and Snowflake platforms. It's the logical pick if your AI already runs on AWS.
A name on a list is only a starting point, though. The next question is what kind of testing you actually need.
AI Red Teaming vs a Standard Penetration Test
A standard penetration test checks servers, websites and logins for known weaknesses. AI red teaming goes further. Testers try to make the model itself misbehave, using carefully crafted language rather than code exploits.
The difference matters most for agentic AI systems that can send emails, update records or approve payments. A chatbot that says something odd is embarrassing. An agent that acts on a hidden instruction can cost real money.
- Prompt injection: Hidden instructions in an email, document or web page hijack the AI's behaviour
- Data leakage: The model reveals customer records, internal documents or its own system prompt
- Excessive agency: An agent holds more permissions than its job needs
- Insecure output: AI-generated text triggers code or scripts in another system
- Cost abuse: Attackers flood a public chatbot and run up usage bills
If a provider can't explain how it tests each of these, it's offering a normal pen test with a new label.
Red Flags When Choosing AI Security Companies in Australia
Most providers are competent. A few warning signs, though, tell you to keep looking.
- No mention of AI-specific frameworks. Ask which standards they test against. You should hear names like the OWASP Top 10 for LLM Applications, the NIST AI RMF or ISO/IEC 42001.
- Fully automated testing only. Scanners miss creative prompt attacks. A human tester should validate every serious finding.
- Vague scope. "We'll test your AI" isn't a scope. A proper proposal names the systems, data sources, user roles and integrations in play.
- No Australian privacy context. A provider should know the Privacy Act, the Australian Privacy Principles and the new automated decision-making disclosure rules.
- Offshore data handling without disclosure. If testers send your prompts or data overseas, you need to know before work starts.
- A report with no fixes. Findings without clear remediation steps leave your team guessing, and the risk stays open.
One more tip: ask who will do the work. Senior names on a proposal mean little if juniors run the actual tests.
Getting Ready Before You Hire an AI Security Partner
The best engagements start before the provider arrives. A Melbourne distributor that shows up with a tidy tool list and clear data owners will get a sharper report, faster, than one that spends the first week answering basic questions.
Preparation also keeps costs down. Every hour a tester spends discovering what you already knew is an hour you pay for.
- Build a one-page AI inventory. Name each tool, its owner, the data it touches and who can use it.
- Pull your current policies. Gather your privacy policy, staff AI usage rules and any vendor contracts for AI tools.
- Note which decisions involve AI. Flag anything that affects customers or staff, such as pricing, approvals or eligibility checks.
- Set up a test environment. Testing against a copy of production avoids disrupting real customers.
- Agree on who fixes what. Decide in advance whether your team, your software partner or the security provider will close each finding.
Do these five things and even a short engagement will deliver real value.