CIO OPINION
We also maintain the largest repository of device metadata , simulate real-world attack paths and provide clear remediation guidance . This allows organisations to focus their limited security resources where they matter most . Asimily easily integrates with existing security infrastructure , enabling businesses to strengthen their security posture without overhauling current investments . Particularly for enterprises managing complex technology environments , it ’ s a big deal to be able to add Asimily without affecting existing cybersecurity processes .
Could you give some examples of unknown or uncommon dangers that connected devices pose and how Asimily combats them ?
One of the most overlooked dangers is how IoT devices often create hidden paths through a network . Take a smart HVAC system , for example . The system might seem isolated , but attackers can use it as an entry point to more critical systems through shared network connections . We ’ ve even seen cases where a smart coffee maker can provide access to sensitive enterprise data . Our platform specifically models these attack paths , showing you exactly how a threat actor might chain together multiple devices to breach your network .
Another underappreciated risk involves devices that are still communicating on deprecated protocols or running outdated firmware versions that the manufacturer no longer supports . Organisations often aren ’ t aware of these legacy issues until it ’ s too late . Asimily ’ s deep packet inspection identifies these vulnerable protocols and outdated systems , helping organisations understand which devices need immediate attention .
Also concerning is when devices that appear secure are actually misconfigured in ways that create security gaps . For example , we often find medical devices or industrial equipment using default credentials or sharing more data than necessary across network segments . Asimily is built to continuously monitor device behaviour and automatically flag these misconfigurations , providing specific remediation steps that won ’ t disrupt the device ’ s critical functions .
How does AI contribute to reducing vulnerabilities in devices 10x faster ?
The scale of IoT deployments makes it impossible for security teams to manually analyse every potential vulnerability . This is where AI becomes a game-changer within our platform , by accelerating vulnerability reduction in several key ways .
First , AI within Asimily quickly processes vast amounts of device data to understand normal behaviour patterns . When analysing a network with thousands of connected devices , it can quickly identify which devices are communicating unusually , which are accessing unexpected resources , or which are operating outside their typical parameters . This automated behavioural analysis catches potential security issues that might take human analysts weeks or months to discover .
But where AI really drives the 10x faster reduction you mention is in prioritisation . Rather than just flagging every potential vulnerability , our AI evaluates realworld exploit potential by considering factors like network configuration , device placement , existing security controls and known attack patterns . This means security teams can focus their limited time on the subset of vulnerabilities that present actual risk , rather than chasing down false positives or lowerpriority issues . Particularly for resource-constrained organisations , the targeted approach that Asimily offers enables them to make meaningful security improvements much more quickly .
How does Asimily help organisations address third-party risks , especially with the increasing reliance on connected vendor devices ?
Third-party device risk has become a major blind spot for many companies . When vendors connect their devices to your network – whether it ’ s your medical equipment supplier , your HVAC contractor , etc . – each connection potentially opens up a new security gap . Organisations often lack visibility into how these thirdparty devices behave and what they ’ re accessing .
Asimily addresses this challenge head-on in several ways . Our platform automatically discovers and classifies all connected devices , including thirdparty equipment and builds a detailed profile of each device ’ s ( correct ) operational parameters . This means you always know what vendor devices are on your network and whether they ’ re behaving as intended .
Instead of drowning in alerts , teams get clear guidance on which devices and vulnerabilities need immediate attention versus which ones can wait .
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