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itsa 2025 32 itsa Magazine 2025 www markttechnik de Powered by the new AI Cyber Assistant Email Security Analyst uses an LLM model to automate responses to users and assist investigations into emails they flag as suspicious decreasing the time Security operations Centre SOC and IT Admin teams dedicate to review end user reports individually and respond Hofmann explained »Thanks to growing media attention endusers are becoming more suspicious about incoming emails While this a welcome and positive development each email they flag increases the burden on SOC and Service Desk teams to analyse and verify them on a casebycase basis Email Security Analyst replaces this traditional manual analysis and significantly reduces the time SOC teams spend on falsepositive and negative reports « By delivering clear AIdriven analyses for each email reported by end users Email Security Analyst also helps train end users to make wellinformed decisions regarding potential malicious activity It also advises them on the appropriate level of caution to take strengthening an organisation’s overall security posture Hofmann added »Organisations have to strengthen their ‘human firewall‘ by empowering employees to become active participants in their organisation’s cybersecurity strategy Cyberattacks are constantly increasing so CISOs and security teams need to strategically allocate resources that strengthen organisational security while increasing the skills of endusers to cover any blind spots « Proactive defence in Microsoft Teams Also included in the new plan is the forthcoming Teams Protection which safeguards Microsoft 365 tenants by scanning Teams messages for malicious content It uses AI and machine learning to continuously monitor all messages immediately identifying and notifying endusers of dangerous messages via AI Cyber Assistant Teams Protection uses tried and tested Hornetsecurity AI technology to • detect smart patterns by analysing key features of URLs and pages e g redirections file paths scripts etc to identify malicious content • uncorporate supervised and unsupervised machine learning algorithms that analyse over 47 characteristics of URLs and web pages scanning for malicious behaviour obfuscation techniques and URL redirects • employ Computer Vision models that analyse images and extract relevant features used in phishing attacks including brand logos QR codes and suspicious text within images Through the 365 Total Protection Control Panel administrators can also delete entire Teams conversations containing malicious messages and prevent the sender of a malicious message from logging into Teams Hofmann said »Instant messaging platforms like Microsoft Teams are increasingly used as a main channel of business communication and yet they tend to be overlooked as a potential attack source However attackers are sending malicious links and malware both through Teams that are open externally and also via compromised internal Teams accounts We have therefore developed Teams Protection to address this growing cybersecurity threat « eg Hornetsecurity Hall 8 Booth 510 Enhanced email misdirection prevention tool and new navigation menu deliver improved user experience Picture Hornetsecurity Daniel Hofmann Hornetsecurity „ To continue enhancing the nextgen security we provide our new AIpowered Email Security Analyst automates responses to user queries about potential threats alleviating the workload on SOC and service desk teams while educating endusers on the nature of attacks “