INDUSTRY VIEW
MANAGING THE INTEGRITY OF INFORMATION AND DATA DISSEMINATION
MERIAM EL OUAZZANI , REGIONAL DIRECTOR , MIDDLE EAST , TÜRKIYE AND AFRICA , SENTINELONE
Security practices must have measures in place to retain transparency and fairness in information dissemination to ensure information remains unaltered and authentic , maintaining accuracy and reliability of data throughout its lifecycle , explains Meriam El Ouazzani at SentinelOne . which in turn may greatly affect political outcomes .
The same UN report reveals that 87 % of people held the belief that misinformation , disinformation , and malinformation campaigns had already adversely affected their country ’ s political landscape and would wield considerable influence in upcoming elections . These sorts of statistics are not shocking to hear , as elections are extremely charged events that lead to digital campaigns designed to spread misinformation easily .
These kinds of attack campaigns must be tackled with a multifaceted approach . There are various key strategies that companies and governments can employ to detect and prevent the spread of misinformation and propaganda .
Tools
One such tool is utilising AI algorithms to analyse content across various platforms . Machine learning models can identify common patterns , anomalies , and misinformation . By pooling this information
With so much information being consumed digitally every day , it can be extremely difficult to gauge what is true and what is fabricated . Millions of users are at risk from the rampant spread of misinformation , which poses a great threat to data security . The most recent global survey conducted by the United Nations reveals that over 85 % of individuals express worry regarding the consequences of disinformation .
A common scenario that victims often fall to is misinformation in elections . With so much at stake , there are plenty of opportunities to sow dissent among voters ,
By implementing access controls and encryption , companies can protect data while enabling authorised access .
and continuing to train , the models can flag inappropriate content as well as variants , in much shorter timeframes .
When it comes to identifying and mitigating manipulation risks , several data analysis techniques and tools can be employed . By using Natural Language Processing techniques and Sentiment Analysis , data can be analysed to identify the tone of content and determine whether the language used is positive , negative , or neutral .
Pattern recognition is another essential tool , as algorithms can detect unusual patterns in data and subsequently highlight anomalies or deviations from normal behaviour , thus revealing that the data is being manipulated .
Search engines are used every day to process millions of queries , but these search algorithms face the ongoing challenge of delivering relevant content while addressing user privacy concerns .
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