A suite of monitoring AI-driven services and accelerators for the proactive management of fraud risk. It uses AI, machine learning, and advanced analytics to deliver ongoing risk assessment, monitoring, and training, enabling the advance detection of fraud and misconduct so companies can get ahead of emerging risks and enhance trust.
The longer fraud perpetrators go undetected, the greater financial and reputational harm they can cause to an organization. With three decades of experience working on some of the world’s largest fraud investigations, we recognize that a cost-effective, proactive, and scalable approach is critical to an effective fraud risk management solution. That’s why we created Guard.ai.
Let’s make this work
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The early detection of fraud, waste, corruption, and abuse can save organizations millions of dollars besides preserving their reputation among customers and stakeholders.
Proactively manage risk
Provides a roadmap to C-suite executives to proactively address the specific risks to which their business is exposed.
Identify and fill security gaps
Helps identify enhancements to business processes, including additional safety and control gaps.
Cost effectiveness
Identifies commercial anomalies that may result in cost savings or recoveries, often exceeding the cost of initial development.
Deter bad actors
Acts as a deterrent to bad actors who shy away from targeting companies that have sophisticated monitoring and detection systems in place.
Discover how Guard.ai can identify anomalies in real time to reduce losses and reputational risk with early intervention.
Combines diverse data, including customer accounts and activity, salesperson information, geographic and demographic data, and other publicly available data sources. Clustering and anomaly detection is used to intelligently identify similar activity to prior issues, and indicate outliers, with fewer false positives.
Uncover suspicious behavior at the vendor and employee levels, and provide results to compliance, legal, and supply chain stakeholders. Leads to behavioral changes within the organization, often confirmed by a sharp decline in the fraudulent/undesirable behaviors observed.
Guard.ai text analytics accelerators and pre-developed code library enable clients to monitor and identify known and emerging issues quickly and identify the scope of those issues. Guard.ai text analytics can help make use of a variety of internal and external data sources to tailor delivery for specific client needs across numerous risk areas.
What our client say
Interested in Guard.ai?
Evolve how you manage the fraud risk. Download the brochure or request a demo with our team.
Short pilot studiesShort pilot studies focus the effort on addressing existing risk areas. Insights from these pilots are used to assess the case for expanded monitoring.
Case trackingCase tracking facilitates a consistent methodology and process to prioritize, resolve, and document at-risk transactions.
Secure technical environmentUses the organization’s existing tools and technologies, or Deloitte’s secure technical environment, to avoid or reduce unnecessary licensing costs and delays.
Employs advanced analyticsEmploys advanced analytics approaches, such as machine learning and AI designed to identify anomalies and emerging issues with fewer false positives.