On October 16-17th, SYSTRAN and its partner Relativity will be participating in the Digital Forensics & Analysis Summit as sponsors and exhibitors. The Digital Forensics & Analysis Summit is a two-day forum that will gather international experts from around the world in Abu Dhabi to share best practices on how technology is used in their forensics department to extract evidence that is able to stand up in trial.
Since information governance, forensics and eDiscovery procedures face mounting pressure from the growth of Electronic stored Information, legal standards and rules governing digital investigation requirements have also contributed to the rise in litigation and associated legal costs.
Within this environment, documents written in languages other than English, including data collection, processing and reviewing can pose major challenges, especially when ensuring the mandatory confidentiality of those procedures, as these typically forbid online translation. Organizations need to search by keyword and find relevant documents and emails in the appropriate languages while controlling costs and maximizing productivity. Therefore time-intensive human translation is usually not an option and the need for viable machine translation solutions becomes all the more apparent.
It happens all too often: employees unknowingly put their company at risk of a security breach by putting confidential information where it doesn’t belong.
In 2015, The Open Security Foundation estimates that there were 1,472 incidents involving the theft or exposure of personal, confidential or proprietary data in the United States alone. Many of these incidents involved the leak of personally identifiable information, including names, birth dates, email addresses, social security numbers, bank account information, home addresses, employment records and even income data. Millions of customers, patients and employees have been affected by these leaks.
Despite IT’s diligence in protecting data, many times employees are the ones putting the data at risk. According to a study released by the Identity Theft Resource Center, approximately 15 percent of data breaches in 2015 were caused by employee error or negligence.