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TrustOps Has Four Tenets. The Fifth Is Replay.

The TrustOps framework names four tenets every enterprise will need by 2027. Replay is the fifth, and it's what makes the other four defensible.

Enterprise Risk

The Three Layers of Enterprise Narrative Risk: Detection, Intelligence, and Response

Most organisations have invested in only one layer of narrative risk management. The organisations that weather coordinated attacks effectively have all three. Here is how the layers work and why gaps between them are where the damage happens.

Podcast

Title Building TrustOps for the AI Era: A Conversation with Gartner's Dave Aron

Distinguished VP Analyst and Gartner Fellow Dave Aron joins us to unpack why disinformation is now a trillion-dollar enterprise risk, and why building TrustOps is the next essential capability for the C-suite.

Market Intelligence

Why APAC Enterprises Need a Local Narrative Security Partner, Not a US Reseller

The vendors that defined narrative security are US-headquartered, US-government-oriented, and enterprise-only. APAC organisations face a genuine gap in capability, data sovereignty, and procurement fit. Here is why it matters and what to look for.

Market Intelligence

What Is Behavioural Trust Infrastructure? The Category Gartner Predicts Will Hit $30 Billion by 2028

A new category has emerged at the intersection of enterprise security and information integrity. Gartner says it will be a $30 billion market by 2028. Here is what behavioural trust infrastructure is, why it matters, and why APAC organisations cannot afford to wait.

LLM Security

The CISO Guide to Governing Enterprise AI Agents in 2026

Enterprise AI deployments have outpaced the governance frameworks designed to control them. Here is what CISOs need to prioritise to govern agentic AI systems without blocking the business value they deliver.

LLM Security

LLM Guardrails: What They Cover and What They Leave Exposed

Enterprise teams deploying LLM guardrails often assume they have addressed the core security risks. Here is a clear-eyed look at what guardrail tools actually protect against and where the gaps remain.

LLM Security

Why Prompt Injection Is Not the Biggest Risk in Your AI Stack

Prompt injection gets most of the attention in AI security discussions. The more consequential risk for enterprise deployments is data over-exposure at the retrieval layer, and it is far harder to detect.

LLM Security

The Access Layer Your LLM Security Stack Is Missing

Most enterprise LLM security tools operate at the wrong layer. Prompt filtering and output scanning cannot protect against the real exposure risk: what your AI agents are allowed to retrieve in the first place.

Threat Intelligence

How AI-Generated Content is Making Coordinated Manipulation Harder to Detect and What to Do About It

Generative AI has dramatically lowered the cost and raised the quality of coordinated influence operations. The detection approaches that worked in 2022 are no longer sufficient in 2026.

Enterprise Risk

Narrative Risk and the ASX-Listed Company: What Boards Need to Know in 2026

Coordinated narrative campaigns targeting ASX-listed companies are increasing in frequency and sophistication. Board-level awareness of narrative risk is now a governance responsibility, not just a communications function.

Education

Bot Detection vs Coordinated Inauthentic Behaviour: What is the Difference and Why Does It Matter?

Many enterprises conflate bot detection with detecting coordinated manipulation. They are related but distinct problems. Understanding the difference determines whether your defences actually protect you.

Case Study

The Black Friday Warning: How Behavioural Intelligence Stopped a Retail Brand Crisis

A coordinated campaign targeting a major retailer during Black Friday week was detected 9 hours before it went viral. Here is what that early warning made possible.

Narrative Intelligence

Why Traditional Social Listening Misses 93% of Coordinated Attacks

Volume and sentiment monitoring were built for a different era. Here is why they consistently fail to detect the coordinated campaigns that cause the most damage to enterprise brands.

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