Copilot aids fraud analysts in swiftly identifying fraud patterns, simplifying complex tasks through natural language interaction, and enabling preemptive prevention instead of
reactive approaches.
Copilot seamlessly integrates cyber
security and fraud detection, managing large datasets and
freeing up teams for critical tasks, ensuring constant and informed fraud prevention.
ASK, Cleafy’s comprehensive
intelligence network, continuously monitored and refined by seasoned threat
experts, enables Copilot to learn from each new threat.
Simplify complex tasks with natural language commands tailored to your needs. Instantly request detailed session and
transaction data from Copilot to reduce noise, pinpoint anomalies, and enhance analysis for preemptive fraud prevention.
Copilot handles vast and incomplete data sets, quickly detecting and reporting fraud patterns and risk through predictive analysis and continuous monitoring. Copilot applies enrichment tags to information, elevating data quality and improving contextualisation for in-depth analysis and informed decision-
making.
Leveraging Cleafy’s cross-bank collective intelligence within our ASK platform, Copilot enables banks and fintechs to seamlessly
share critical threat intelligence, swiftly identifying global fraudulent activity. Meticulously verified data reduces manual
efforts and operational costs, while minimising the risk of blocking genuine transactions.
Want to automate complex tasks? Just ask. Copilot can search for risk indicators, set up rules, or customise reports. Accelerate analysts’ workflows, from routine operations to intricate tasks like identifying patterns and creating automated response rules.
“Positioned as the herald of a new era in the fight against digital fraud in banking, Copilot promises to redefine how financial institutions approach security.”
Matteo Bogana, Cleafy CEO
Copilot draws from vast data and insights accumulated over years of hands-on experience in threat intelligence, fraud investigation, and pattern characterisation.
Copilot simplifies complex tasks through natural language interaction. With basic queries, it accelerates the analysts' workflow, from routine operations to intricate tasks like creating patterns or rules for automated responses.
Copilot applies enrichment tags to information, elevating data quality and improving contextualisation for in-depth analysis and informed decision-making.
It doesn’t matter what your analyst’s preferred language is, Copilot can interact with any language in the most natural way.
"Generate a summary of the situation and send it via email."
Copilot
Set up automated actions based on predefined triggers.
"Suggest rules based on the identified pattern."
Copilot
Get suggestions and create smart rules based on the identified patterns, based on power knowledge, intelligence, and objectives.
"Detect anomalous sessions within the searched dataset."
Copilot
Identify anomalies (e.g. behavioral, transactional, etc..) within the searched dataset.
"Find common data between User A's sessions and User B's."
Copilot
Identify correlations between different sets of data.
"Tell me how this incident happened step by step."
Copilot
Get a thorough explanation of data, facts, and incidents based on the searched data.
"Find all sessions from Android located in Italy."
Copilot
Conduct searches within the entire dataset of an instance.
"Generate a summary of the situation and send it via email."
Copilot
Set up automated actions based on predefined triggers.
"Suggest rules based on the identified pattern."
Copilot
Get suggestions and create smart rules based on the identified patterns, based on power knowledge, intelligence, and objectives.
"Detect anomalous sessions within the searched dataset."
Copilot
Identify anomalies (e.g. behavioral, transactional, etc..) within the searched dataset.
"Find common data between User A's sessions and User B's."
Copilot
Identify correlations between different sets of data.
"Tell me how this incident happened step by step."
Copilot
Get a thorough explanation of data, facts, and incidents based on the searched data.
"Find all sessions from Android located in Italy."
Copilot
Conduct searches within the entire dataset of an instance.
At Cleafy, our mission is to assist financial institutions in transitioning from outdated fraud management systems to an advanced approach designed to counter today's and tomorrow's evolving threats. We deliver state-of-the-art technology that seamlessly integrates cybersecurity and fraud detection into one powerful platform. Through relentless innovation, collaboration with industry leaders, and proactive prevention, we empower institutions worldwide to outpace fraudsters, protect their operations, and set the industry standard for proactive fraud management.
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