AI Security Insights & Research
Expert analysis on AI threats, governance frameworks, and practical security strategies for organisations deploying artificial intelligence in Australia and the Asia-Pacific.
AI Security Maturity Model: Where Does Your Organisation Actually Stand?
A practical maturity assessment framework for AI security — from ad-hoc protections to enterprise-grade controls.
Agentic AI Security: When Your AI Can Act Autonomously, Everything Changes
Agentic AI systems introduce unprecedented security risks. Learn the controls that keep autonomous AI safe.
Essential Eight Meets AI: Adapting Australia’s Cyber Framework for Machine Learning Systems
How to extend the Essential Eight mitigation strategies to cover AI and ML workloads in your organisation.
AI Model Integrity: Detecting Tampering, Drift, and Silent Degradation
Your AI model could be compromised right now. Learn to detect tampering, data drift, and silent degradation.
Shadow AI in the Enterprise: The Invisible Risk Your Security Team Is Missing
Employees are using AI tools you don’t know about. Here’s how to find and govern shadow AI before it finds you.
AI Incident Response: Your Playbook for When Your Model Gets Compromised
Traditional IR playbooks don’t cover AI incidents. Build a response plan for model compromise, data poisoning, and adversarial attacks.
Zero Trust for AI: Building Baseline Trust Before You Lock Everything Down
Zero Trust principles applied to AI systems — identity, access, segmentation, and continuous verification for ML pipelines.
LLM Data Leakage: How Your AI Is Quietly Exposing Sensitive Information
Large language models can leak training data, PII, and secrets. Understand the vectors and build effective guardrails.
SOCI Act and AI: 12 Governance Controls Every Critical Infrastructure Operator Needs
Australia’s SOCI Act has implications for AI in critical infrastructure. These 12 controls keep you compliant.
AI Supply Chain Security: Why Your Third-Party Models Are Your Biggest Blind Spot
Third-party AI models, datasets, and APIs create supply chain risks most teams overlook. Here’s how to secure them.
Prompt Injection and Agentic AI: The #1 AI Security Risk in 2026
Prompt injection remains the top AI vulnerability. Learn advanced attack vectors and defence strategies for agentic systems.
AI Governance Framework Australia: Building Accountability Into Your AI Systems
A practical governance framework for AI systems aligned with Australian regulations and international standards.
AI Red Teaming Services: Stress-Testing Your LLM Before Attackers Do
Adversarial testing for AI systems — red teaming methodologies, tools, and frameworks to harden your LLMs.
AI Security Assessment: The Reality Check Your AI Systems Need Right Now
Most organisations deploying AI have never assessed their AI security posture. Here’s why that needs to change immediately.