NEWS
Capability added to Endpoint Central to tackle the dynamic threat landscape
ManageEngine has confirmed the addition of the next-generation antivirus ( NGAV ) capability in its unified endpoint management ( UEM ) solution Endpoint Central – positioning it as an endpoint protection platform ( EPP ).
Endpoint Central ’ s NGAV leverages a Deep Learning model implemented with neural networks in combination with behavioural detection to detect both known and unknown threats , including those with previously unseen attack patterns .
“ Endpoints have been one of the most utilised threat vectors by cybercriminals for quite some time now ,” said Mathivanan Venkatachalam , Vice President , ManageEngine .
“ With the release of the NGAV capability , we are adding AI-based malware protection to Endpoint Central , rounding it off as an EPP , providing customers with a holistic cyber defence approach .”
Apart from reducing organisations ’ IT footprints , this unified approach offers wide scope for remediation policies , seamless
incident investigation and feedback loops for bolstering the security posture .
ManageEngine has been in the IT management market for over 20 years and has built a strong foundation of IT management and security capabilities from the ground up . The NGAV addition to Endpoint Central is a move to strengthen endpoint security within the company ’ s comprehensive portfolio of cybersecurity solutions .
“ We aim to offer an AI-powered , unified , end-to-end platform for the digital enterprise in which cyber resilience is of paramount importance ,” said Venkatachalam . “ The platform will enable customers to devise and implement a comprehensive security strategy by building workflows across multiple ManageEngine security offerings , automating threat detection , threat responses and incident investigation .”
Australian IT and security leaders ‘ struggle ’ with Generative AI threats
ExtraHop ’ s new research report The
Generative AI Tipping Point Australian enterprises struggle to understand and address security concerns that come with employee generative AI use .
According to the findings , 74 % of IT and security leaders admit their employees use generative AI tools or Large Language Models ( LLM ) sometimes or frequently at work – but they aren ’ t sure how to appropriately address security risks .
The report also exposes Generative AI bans as ineffective with organisations want more guidance on Generative AI issues – especially from the government .
Four in five respondents ( 80 %) are very or somewhat confident their current security stack can protect against threats from generative AI tools – but less than half have invested in technology that helps their organisation monitor the use of generative AI .
Only 45 % have policies in place governing acceptable use , and 34 % train users on safe use of these tools .
Raja Mukerji , Co-founder and Chief Scientist , ExtraHop
“ There is a tremendous opportunity for generative AI to be a revolutionary technology in the workplace ,” said Raja Mukerji , Co-founder and Chief Scientist , ExtraHop . “ However , as with all emerging technologies we ’ ve seen become a staple of modern businesses , leaders need more guidance and education to understand how generative AI can be applied across their organisation and the potential risks associated with it . By blending innovation with strong safeguards , generative AI will continue to be a force that will uplevel entire industries in the years to come .”
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