Depository Trust and Clearing Corporation wields RPA for 80% faster phishing analysis and 96% quicker malicious URL detection.
Every email, regardless of who its from has the potential to be a security risk, particularly at financial institutions where a breach of sensitive data could be potentially life altering to someone.
The Depository Trust and Clearing Corporation (DTCC) is one such financial organization that processes over 90 million financial transactions daily, and serves as a clearinghouse for more than 50 exchanges and equity platforms.
Their problem: A prime target for nefarious threats
With so much on the line, the DTCC had become a prime target for nefarious cyber threats, particularly phishing emails and malicious URLs. While the company appropriately handled the threats, the time expenditure to manually verify the legitimacy of every single email was becoming monumental.
Seeking an innovative solution to address threats and provide the company with a safer and more secure work environment, the IT teams at DTCC turned to team KeyMark for a solution.
Our solution: Digital RPA workers
KeyMark provided a cross functional team to assess the situation and suggest a solution. After a look through DTCC’s security protocols, KeyMark implemented cutting-edge Robotic Process Automation (RPA) along with APIs and machine learning solutions to assess the severity of incoming threats. The digital workers built within the RPA platform were programmed to inspect and analyze incoming emails following rules-based algorithms, enhancing results from occasional human interaction and machine learning where necessary.
Results: Improved security and efficiency
Empowered by their new RPA-based digital workforce, the organization is able to better spend there time on threat prevention, improving client experience employee satisfaction by creating a more secure work environment.
Since the launch of their RPA solution, the DTCC has seen an 80% increase in phishing email analysis, 96% increase in malicious URL detection speed, and 80% faster evaluation of intrusion events.
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