Outpacing Fraud: Tools, Technologies and Tactics

PwC
February 13, 2026

Fraud risks are evolving fast - and so are the tools needed to tackle them. From the misuse of AI to increasingly complex supply chains, counter fraud teams are being asked to identify more risk, earlier and with fewer margins of error. At the same time, the landscape is changing. Organisations now have access to huge volumes of data and increasingly powerful technology, but the real challenge is knowing how to use these tools effectively and how counter fraud specialists can turn them into practical, actionable advantage. 

At this year’s Counter Fraud Conference, counter fraud specialists from across PwC will be on hand to discuss these challenges and demonstrate how organisations can respond. We will showcase a range of new counter fraud offerings, delivering live demonstrations of our latest technologies and walking through real case studies drawn from current public sector engagements. 

We’d love attendees to visit our stand to find out how we’re helping organisations strengthen AI risk and resilience, detect fraud and supply chain risks at scale and manage the growing challenge of insider risk. Whether you’re looking to sharpen detection, improve resilience, or understand what’s working in practice, we’ll be sharing practical insights you can take away.


AI Risk & Resilience


Across organisations, we’re seeing AI failures move rapidly from technical issues to board-level incidents; often surfacing as decisions that can’t be explained, audit trails that don’t exist, or behaviour that cuts across multiple business processes at once.

As AI becomes more autonomous and more deeply embedded in critical operations, traditional risk and incident response models are starting to break. PwC is helping leading organisations to respond, shifting from pure risk management towards AI resilience, spanning readiness, response, and recovery, so that they can scale AI with confidence rather than constraint.

On the other hand, AI presents a real opportunity for counter fraud specialists. Whether its setting rules for how decisions are triaged, identifying the evidence to be captured, or determining the routes of escalation – AI can help.

Come to hear more about how counter fraud specialists can navigate this duality across the public sector. 

Fraud Detection Technologies

Supply chain risk is one of the most complex and material sources of fraud risk facing the public sector. From procurement fraud and sanctions exposure to undisclosed conflicts of interest and payment error, risk is rarely isolated to a single supplier or transaction. Instead, it sits across disconnected systems and within networks of relationships between entities. Yet many organisations still rely on fragmented screening and retrospective checks, limiting their ability to see emerging threats early or act with confidence.

At PwC, we are helping organisations use advanced fraud detection technologies to bring these risks into focus. Our Supply Chain Risk Asset, built on Quantexa’s Decision Intelligence platform, connects internal and external data to create a single, contextual view of suppliers, spend and networks.  This enables counter fraud teams to identify fraud and error earlier, focus attention where it matters most and conduct faster, more effective investigations - shifting from reactive identification to proactive prevention at scale.

Insider Risk

Insider risk refers to the threat posed by individuals within an organisation who, intentionally or not, misuse their knowledge of and access to company property, processes, data and systems in a way that results in harm to the organisation.

As recently reported by CIFAS, cases filed to the Insider Threat Database (ITD) in the first 6 months of 2025 increased by 32% compared to the same period in 2024. While insider threats aren’t new, we do appear to be experiencing a perfect storm of factors that amplify their frequency, scale, and complexity - making this not just a security issue, but a strategic business risk.

Today’s organisational perimeter is largely virtual. Criminals are increasingly targeting insiders as a low-effort, high-return tactic and AI is introducing entirely new insider risk vectors - from data leakage via prompts to autonomous agents operating at scale. Yet many organisations still treat insider risk as an IT or security problem, when in reality it cuts across finance, HR, supply chains, legal, operations and culture. Effective insider risk management isn’t about surveillance or distrust; it’s about building resilience - aligning people, processes and technology so access is appropriate, behaviour is visible, and risk is identified early. Done well, it becomes a strategic capability that protects trust, safeguards value and strengthens organisational resilience.

 


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