CASE STUDY different sources to expand the scope and scale of how and where it can be used .
In April , we unveiled new and expanded GenAI assistant capabilities for FortiAI , formerly Fortinet Advisor , across our FortiAnalyzer , FortiSIEM , and FortiSOAR solutions . These enhancements will help security operations teams of any size make betterinformed decisions and respond to threats faster by simplifying even the most complex tasks .
How can regional organisations overcome concerns related to data privacy and security when adopting GenAI ?
We hear a lot of concern around data privacy and GenAI from organisations in the region . Security and data privacy and security are top of mind for decisionmakers when considering GenAI adoption .
The first step to overcoming this challenge is to implement strong encryption and data management practices . This ensures that sensitive data is protected at all stages . Another crucial aspect is to align with global cybersecurity standards . Also , by adhering to recognised frameworks like GDPR or ISO 27001 , organisations can ensure that they meet best practices for data protection .
Fortinet , for instance , provides solutions that are designed to integrate these standards seamlessly , so organisations can focus on their AI initiatives without compromising security .
Additionally , regular risk assessments and audits can help identify potential vulnerabilities before they become problems . It is about being proactive
and ensuring that security is built into the GenAI deployment from the ground up , rather than trying to add it on later . So , while the concerns are valid , they are manageable with the right approach .
What are the primary challenges organisations face when implementing AI and ML solutions for cybersecurity ?
When we talk to organisations , they often mention high costs , a lack of skilled GenAI professionals , and worries about data privacy and security as some of the biggest hurdles to adopting AI and ML .
The shortage of skilled talent in particular is a huge factor . As AI is a complex technology , without the right expertise , it is tough for organisations to fully leverage its potential . We are talking about needing people who understand both AI and the specific challenges of cybersecurity in AI environments . Without these experts on board , organisations could struggle not only with deploying AI and ML but also with securing them properly .
This can slow down the entire adoption process because companies are either hesitant to move
SECURITY AND DATA PRIVACY AND SECURITY
ARE TOP OF MIND FOR DECISION-MAKERS WHEN
CONSIDERING GENAI ADOPTION .
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