Page 48 - Cyber Defense eMagazine December 2022 Edition
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Being proactive in threat detection

            Businesses that remain holding on to legacy cybersecurity systems rather than updating and modernising
            their technology only grow increasingly ineffective in preventing threats. In relying on being able to resolve
            issues after the damage has already happened, they are simply allowing otherwise preventable attacks
            from being perpetrated.

            With the right AI system in place, next generation SIEM solutions can contextualise information to predict
            cyber threats, rather than just detecting them at the impact stage. Further still, multiple AI models can be
            used in sequence to optimise the threat detection output to detect early signs of an attack. By integrating
            with  automated  data  and  web  scrapers  to  incorporate  the  latest  contextual  threat  intelligence  for
            organisations, AI-driven solutions provide near real-time adjustment ability to reflect real exposure from
            vulnerabilities, compromised credentials, malicious domain spotting within the context, and risk exposure
            of any client. Further still, alerts can be prioritised and adjusted based on the potential impact to the
            organisation, putting the most serious alerts at the top of the agenda.




            Embracing AI in threat detection is critical

            Predictive threat detection using the potential of AI is critical in ensuring businesses avoid the cost of
            potentially  damaging  attacks.  Dynamically  changing  threats  have  to  be  combatted  with  an  equally
            complex and reactive prevention system – something companies must realise quickly to ensure customer
            data remains safe and protected. AI solutions also help business leaders keep their own peace of mind
            – less focus or worry about the threat of a destructive cyber-attack, and instead more time and money
            focussed on business development.



            About the Author

            Ralph  Chammah  is  the  Chief  Executive  Officer  at  OwlGaze.  After
            serving as the lead Cyber Director of the analytics practice with Deloitte
            in Canada and Hong Kong, Ralph noticed an opportunity segment that
            was not being met in the current cybersecurity software market and
            decided  to  fill  that  need.  Since  starting  OwlGaze,  Ralph  has  kept
            himself and his team laser-focused on meeting that goal, and as CEO,

            he  plays  a  crucial  role  in  defining  the  vision  and  direction  of  the
            company.  Ralph  holds  a  degree  in  electrical  engineering  from
            Concordia University in Canada.
            First     Name        can       be      reached       online      at
            https://www.linkedin.com/in/ralphchammah/  and  at  our  company
            website www.owlgaze.com.








            Cyber Defense eMagazine – December 2022 Edition                                                                                                                                                                                                         48
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