Detection

AI Detection: Innovation in automated risk and opportunity detection

AlgoNew’s AI Detection solution is designed to improve the safety and operational efficiency of enterprises by automatically identifying patterns of behavior, anomalies ,and potential risks across the entire value chain. With advanced artificial intelligence capabilities, the platform analyses large volumes of data in real-time, helping companies anticipate problems before they occur. 

Main benefits for companies

Cost reduction

Implementing the AlgoNew Detection AI solution minimizes financial losses by identifying and preventing fraud before it escalates. By reducing the number of fraudulent activities in operations, the company saves costs, operational errors, and downtime in subsequent investigations. Automating these detection processes reduces the need for manual intervention, freeing up human resources and allowing the budget to be allocated to other areas of the business.

Risk mitigation

AI AlgoNew Detection helps companies prevent suspicious activity from evolving into more serious threats by detecting irregular patterns in real-time and automatically. A crucial advantage for companies handling sensitive data or high-value assets. Early prevention increases security, strengthens a company’s reputation and builds trust among customers and employees.

Main benefits for companies

Increased accuracy and speed

AlgoNew Detection AI technology processes large volumes of data in a matter of seconds, analyzing information and detecting anomalies more accurately than traditional systems. This enables an immediate response to any irregular activity, preventing the problem from escalating. By combining artificial intelligence and machine learning algorithms, the system learns from previous incidents, improving its effectiveness over time.

Adaptability

Thanks to adaptive intelligence, the technology continuously adjusts to new patterns and threats, keeping up with emerging fraud trends. This adaptability enables the company to be prepared for next-generation threats and to cope with new or unforeseen risk situations.

Main benefits for companies

Regulatory compliance

DETECTION facilitates compliance with security and data protection regulations by documenting and recording every activity detected as anomalous or risky. This detailed record enables companies to comply with compliance regulations and audits, avoiding sanctions and improving the transparency of their operations before regulatory bodies.

Strengthening customer relationships

By using DETECTION to secure transactions and protect data, the company strengthens customer confidence, especially in sectors such as finance and healthcare where security is critical. This not only reduces concerns about fraud, improving the customer experience but also helps retain existing customers and attracts new users by providing a more secure and trusted environment.

DETECTION

Main features

Discover advanced capabilities that make Detection AI a cornerstone of proactive and intelligent security solutions

Real-time fraud detection

Allows you to identify potential frauds or anomalies as they occur, avoiding late reactions.

Predictive analytics

Based on historical data, it anticipates risky behavior, allowing companies to take action before the problem materializes.

Adaptive intelligence

The solution feeds on activity data to adjust to new threats and fraud patterns, maintaining its effectiveness in changing scenarios.

Data visualisation and alerts

It offers intuitive interfaces that facilitate real-time risk monitoring, as well as automatic alerts that notify the security team of any anomalies.

Integration with existing systems

Its modular design allows AI Detection to be integrated into a company’s existing operational and security systems, optimizing its implementation without disrupting processes.

Intelligent alert automation

Real-time AI-driven alerts prioritize critical risks and minimize noise for swift intervention.

Practical examples of the use of our technology

Explore how Detection AI strengthens security and optimizes operations in diverse industries

Advanced Real-Time Fraud Protection for Banking Transactions

In the banking sector, the DETECTION technology is an essential tool for reducing fraud risks. Its advanced system monitors every transaction in real-time, identifying suspicious behavior patterns that may indicate illicit activities such as money laundering attempts or unauthorized transfers. By analyzing historical data and comparing habitual patterns, DETECTION proactively detects anomalies, triggering immediate alerts for staff to act without delay. This enables financial institutions to better safeguard their clients’ funds and significantly reduce operational losses caused by fraud.

PROBLEM

Banking institutions face the ongoing challenge of defending against complex and evolving fraudulent activities, such as money laundering and unauthorized transfers. These types of fraud are often executed through sophisticated networks, making them difficult to detect using traditional methods.

SOLUTION

With the DETECTION solution, banks can leverage advanced data analytics to monitor transactions in real-time, detect irregular patterns, and activate smart alerts when suspicious activity is identified. By analyzing specific contexts and comparing historical patterns, DETECTION provides effective and proactive protection, helping financial institutions make quick and precise decisions to block fraudulent operations before they cause significant losses. This not only strengthens banking security but also enhances customer trust by demonstrating the continuous safeguarding of their financial resources.

Optimization and Security in the Supply Chain: Loss and Fraud Prevention

In logistics and transportation, the DETECTION system continuously monitors the location and condition of assets and goods in transit, identifying any irregularities that may indicate diversion or attempted fraud. This enables companies to react quickly and mitigate potential theft or loss of goods. Additionally, the system can anticipate issues in the supply chain and optimize routes for safer and more efficient delivery, particularly in the transportation of high-value goods or sensitive merchandise.

PROBLEM

In logistics, supply chain fraud can manifest in practices such as product diversion, inventory manipulation, and falsification of delivery data, undermining both efficiency and trust in the process.

SOLUTION

AlgoNew’s AI Detection ensures constant supervision at every stage of the value chain, analyzing inventory movement and delivery data in real time. By detecting anomalous patterns—such as unexpected changes in delivery routes or inventory discrepancies—it can trigger alerts before significant fraud occurs. This gives logistics companies the ability to act immediately, optimizing tracking and ensuring security. Leading companies like DHL have adopted similar technologies to maintain the integrity of their supply chains at all times.

Data Protection and Fraud Prevention: Comprehensive Security in the Healthcare Sector

In banking, AlgoNew’s AI Detection technology is an essential tool for reducing the risk of fraud. Its advanced system monitors every transaction in real-time, identifying suspicious patterns of behavior that could indicate illicit activities such as money laundering attempts or unauthorized transfers. Through analysis of historical data and comparison of common patterns, DETECTION proactively detects anomalies, triggering immediate alerts for staff to act without delay. In this way, financial institutions can better protect their customers’ funds and significantly reduce their operational losses due to fraud.

PROBLEM

Fraudulent medical and pharmaceutical insurance claims represent significant losses to the health sector. From unnecessary treatments to counterfeit prescriptions, these frauds harm both insurers and patients.

SOLUTION

Detection solution helps analyze the history of medical claims and treatments, identifying suspicious patterns such as repetitive claims or diagnoses that do not match prescribed treatments. This analysis enables insurers to act proactively, improving the accuracy of approvals and avoiding leakage of resources. This approach is employed by companies such as UnitedHealth Group, which uses AI to reduce fraud and ensure quality of service. This approach is employed by companies such as United Health Group, which uses AI to reduce fraud and ensure quality of service.

E-commerce Fraud Monitoring and Detection: Secure Shopping Experience

In e-commerce, DETECTION enables online retailers to monitor user behavior to identify unusual shopping patterns that may indicate fraud, such as the misuse of stolen cards or fraudulent returns. The technology can also differentiate between genuine users and suspicious profiles, protecting the profitability and reputation of the business. With real-time detection, retailers can block potentially fraudulent activity before it materializes.

PROBLEM

On e-commerce platforms, fraud can occur in the form of fake accounts, fraudulent returns, and the use of stolen cards, leading to financial losses and inventory problems.

SOLUTION

DETECTION uses machine learning algorithms to identify irregular behavior, such as multiple failed payment attempts or accounts with multiple returns, allowing businesses to detect these activities before they impact their operations. This ensures a better customer experience and helps protect revenue. Amazon and eBay apply similar fraud detection technologies to maintain the integrity of their platforms and ensure a safe experience for their users.

Anomaly and Fraud Detection in the Energy Sector: Safe and Efficient Consumption

For energy companies, DETECTION monitors supply networks to identify irregular consumption that could indicate losses, theft or leaks in the distribution network. In addition, the system makes it possible to anticipate supply problems and optimize energy distribution, improving operational efficiency and ensuring continuity of service. By detecting these anomalies early, companies avoid millions of dollars in losses and ensure the integrity of the energy infrastructure.

PROBLEM

Energy companies face problems such as consumption fraud (illegal connections or meter tampering) and supply fraud, which result in losses and affect sustainability.

SOLUTION

Technology allows real-time monitoring of energy consumption at different points in the network, detecting irregular patterns that suggest possible fraud. With this information, energy companies can act immediately, adjusting supply and alerting those responsible. Companies such as Iberdrola and Enel use AI in similar systems to detect illegal connections and prevent supply fraud, improving grid efficiency and ensuring service sustainability. 

Leader companies rely on our innovative AI-based technology

FREQUENTLY ASKED QUESTIONS

We answer the most frequently asked questions about this advanced technology

AI Detection is an artificial intelligence-based technology that automatically identifies patterns, anomalies, or risks in large volumes of data, helping companies make faster and more accurate decisions to improve security and operational efficiency.

It uses advanced machine learning algorithms to analyze transactions in real-time, identifying unusual behavior that may indicate fraudulent activity, allowing for rapid and effective intervention.

Industries such as finance, insurance, retail, manufacturing, and logistics benefit the most as they need to identify and mitigate risks quickly to maintain security and operational efficiency.

Machine learning, predictive analytics, pattern detection, and specific platforms such as Salesforce Einstein, TensorFlow, and Scikit-Learn are used to power AI Detection solutions.

AI Detection seamlessly integrates with enterprise management systems, CRM, ERP, and other platforms through custom APIs and connectors, enabling seamless implementation into existing workflows.

It enables advanced personalization of offers, improves customer experience, increases retention, and optimizes marketing strategies through detailed analysis of user preferences and behaviors.

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