Endpoints are easy to overlook<\/strong><\/strong><\/strong><\/h2>\n\n\n\n<\/div>\n\n\n\nThe modern workplace no longer sits behind a single perimeter. People work from offices, homes and on the move, using laptops, mobile devices and other connected technology to access business systems every day. As a result, endpoints have become one of the most common entry points for cyber-attacks.<\/p>\n\n\n\n
Yet, they also provide some of the earliest indications that something is not right. Small changes in device or user activity can be the first sign of a developing threat, but they rarely stand out on their own. Endpoints generate a constant stream of information, and much of it appears routine when viewed in isolation. By the time the full picture emerges, the opportunity to detect and respond early may already have passed.<\/p>\n\n\n\n
<\/div>\n\n\n\n\n \n \n\nWhy signals get missed<\/strong><\/strong><\/strong><\/strong><\/h2>\n\n\n\n<\/div>\n\n\n\nThe information is available, but it is not always connected or prioritised. There are several reasons why that happens. Four challenges appear time and again:<\/p>\n\n\n\n
\n\n\n \n Too much noise<\/h3>\n
Endpoints generate a large volume of data, making it difficult to identify the activity that needs attention.<\/p>\n \n <\/div>\n\n<\/div>\n<\/div>\n\n\n\n
\n\n \n Separate tools<\/strong><\/h3>\nEndpoint data often remains within the endpoint security tool instead of being connected to the wider security ecosystem.<\/p>\n \n <\/div>\n\n<\/div>\n<\/div>\n\n\n\n
\n\n \n Limited context\u00a0<\/strong><\/h3>\nDevice activity is not always correlated with identity, cloud and network signals, so teams see separate events rather than one attack path.<\/p>\n \n <\/div>\n\n<\/div>\n<\/div>\n\n\n\n
\n\n \n Reactive processes<\/strong><\/h3>\nAttention tends to focus on alerts after activity has escalated, while earlier behavioural signs are missed.<\/p>\n \n <\/div>\n\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
The common issue is that endpoint telemetry is treated as a separate feed rather than one part of a connected view.<\/p>\n\n\n <\/div>\n<\/div>\n\n\n\n
<\/div>\n\n\n\nThe cost of missed signals<\/strong><\/strong><\/strong><\/h2>\n\n\n\n<\/div>\n\n\n\nMissing early signs creates more than an efficiency problem. It gives attackers more time.<\/p>\n\n\n\n
The longer suspicious activity goes undetected, the longer an attacker has to move through the environment, gather information and increase the impact of an attack. By the time security teams respond, they are working with incomplete information and under greater pressure.<\/p>\n\n\n\n
Our latest whitepaper highlights the difference earlier detection can make. Organisations using AI and automation extensively reduced the breach lifecycle by around 80 days and saved approximately US$1.9 million per breach compared with those that did not.<\/p>\n\n\n\n
The modern workplace no longer sits behind a single perimeter. People work from offices, homes and on the move, using laptops, mobile devices and other connected technology to access business systems every day. As a result, endpoints have become one of the most common entry points for cyber-attacks.<\/p>\n\n\n\n
Yet, they also provide some of the earliest indications that something is not right. Small changes in device or user activity can be the first sign of a developing threat, but they rarely stand out on their own. Endpoints generate a constant stream of information, and much of it appears routine when viewed in isolation. By the time the full picture emerges, the opportunity to detect and respond early may already have passed.<\/p>\n\n\n\n
Why signals get missed<\/strong><\/strong><\/strong><\/strong><\/h2>\n\n\n\n<\/div>\n\n\n\nThe information is available, but it is not always connected or prioritised. There are several reasons why that happens. Four challenges appear time and again:<\/p>\n\n\n\n
\n\n\n \n Too much noise<\/h3>\n
Endpoints generate a large volume of data, making it difficult to identify the activity that needs attention.<\/p>\n \n <\/div>\n\n<\/div>\n<\/div>\n\n\n\n
\n\n \n Separate tools<\/strong><\/h3>\nEndpoint data often remains within the endpoint security tool instead of being connected to the wider security ecosystem.<\/p>\n \n <\/div>\n\n<\/div>\n<\/div>\n\n\n\n
\n\n \n Limited context\u00a0<\/strong><\/h3>\nDevice activity is not always correlated with identity, cloud and network signals, so teams see separate events rather than one attack path.<\/p>\n \n <\/div>\n\n<\/div>\n<\/div>\n\n\n\n
\n\n \n Reactive processes<\/strong><\/h3>\nAttention tends to focus on alerts after activity has escalated, while earlier behavioural signs are missed.<\/p>\n \n <\/div>\n\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
The common issue is that endpoint telemetry is treated as a separate feed rather than one part of a connected view.<\/p>\n\n\n <\/div>\n<\/div>\n\n\n\n
<\/div>\n\n\n\nThe cost of missed signals<\/strong><\/strong><\/strong><\/h2>\n\n\n\n<\/div>\n\n\n\nMissing early signs creates more than an efficiency problem. It gives attackers more time.<\/p>\n\n\n\n
The longer suspicious activity goes undetected, the longer an attacker has to move through the environment, gather information and increase the impact of an attack. By the time security teams respond, they are working with incomplete information and under greater pressure.<\/p>\n\n\n\n
Our latest whitepaper highlights the difference earlier detection can make. Organisations using AI and automation extensively reduced the breach lifecycle by around 80 days and saved approximately US$1.9 million per breach compared with those that did not.<\/p>\n\n\n\n
The information is available, but it is not always connected or prioritised. There are several reasons why that happens. Four challenges appear time and again:<\/p>\n\n\n\n
Too much noise<\/h3>\n
Endpoints generate a large volume of data, making it difficult to identify the activity that needs attention.<\/p>\n \n <\/div>\n\n<\/div>\n<\/div>\n\n\n\n
Separate tools<\/strong><\/h3>\nEndpoint data often remains within the endpoint security tool instead of being connected to the wider security ecosystem.<\/p>\n \n <\/div>\n\n<\/div>\n<\/div>\n\n\n\n
\n\n \n Limited context\u00a0<\/strong><\/h3>\nDevice activity is not always correlated with identity, cloud and network signals, so teams see separate events rather than one attack path.<\/p>\n \n <\/div>\n\n<\/div>\n<\/div>\n\n\n\n
\n\n \n Reactive processes<\/strong><\/h3>\nAttention tends to focus on alerts after activity has escalated, while earlier behavioural signs are missed.<\/p>\n \n <\/div>\n\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
The common issue is that endpoint telemetry is treated as a separate feed rather than one part of a connected view.<\/p>\n\n\n <\/div>\n<\/div>\n\n\n\n
<\/div>\n\n\n\nThe cost of missed signals<\/strong><\/strong><\/strong><\/h2>\n\n\n\n<\/div>\n\n\n\nMissing early signs creates more than an efficiency problem. It gives attackers more time.<\/p>\n\n\n\n
The longer suspicious activity goes undetected, the longer an attacker has to move through the environment, gather information and increase the impact of an attack. By the time security teams respond, they are working with incomplete information and under greater pressure.<\/p>\n\n\n\n
Our latest whitepaper highlights the difference earlier detection can make. Organisations using AI and automation extensively reduced the breach lifecycle by around 80 days and saved approximately US$1.9 million per breach compared with those that did not.<\/p>\n\n\n\n
Limited context\u00a0<\/strong><\/h3>\nDevice activity is not always correlated with identity, cloud and network signals, so teams see separate events rather than one attack path.<\/p>\n \n <\/div>\n\n<\/div>\n<\/div>\n\n\n\n
\n\n \n Reactive processes<\/strong><\/h3>\nAttention tends to focus on alerts after activity has escalated, while earlier behavioural signs are missed.<\/p>\n \n <\/div>\n\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
The common issue is that endpoint telemetry is treated as a separate feed rather than one part of a connected view.<\/p>\n\n\n <\/div>\n<\/div>\n\n\n\n
<\/div>\n\n\n\nThe cost of missed signals<\/strong><\/strong><\/strong><\/h2>\n\n\n\n<\/div>\n\n\n\nMissing early signs creates more than an efficiency problem. It gives attackers more time.<\/p>\n\n\n\n
The longer suspicious activity goes undetected, the longer an attacker has to move through the environment, gather information and increase the impact of an attack. By the time security teams respond, they are working with incomplete information and under greater pressure.<\/p>\n\n\n\n
Our latest whitepaper highlights the difference earlier detection can make. Organisations using AI and automation extensively reduced the breach lifecycle by around 80 days and saved approximately US$1.9 million per breach compared with those that did not.<\/p>\n\n\n\n
Reactive processes<\/strong><\/h3>\nAttention tends to focus on alerts after activity has escalated, while earlier behavioural signs are missed.<\/p>\n \n <\/div>\n\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
The common issue is that endpoint telemetry is treated as a separate feed rather than one part of a connected view.<\/p>\n\n\n <\/div>\n<\/div>\n\n\n\n
<\/div>\n\n\n\nThe cost of missed signals<\/strong><\/strong><\/strong><\/h2>\n\n\n\n<\/div>\n\n\n\nMissing early signs creates more than an efficiency problem. It gives attackers more time.<\/p>\n\n\n\n
The longer suspicious activity goes undetected, the longer an attacker has to move through the environment, gather information and increase the impact of an attack. By the time security teams respond, they are working with incomplete information and under greater pressure.<\/p>\n\n\n\n
Our latest whitepaper highlights the difference earlier detection can make. Organisations using AI and automation extensively reduced the breach lifecycle by around 80 days and saved approximately US$1.9 million per breach compared with those that did not.<\/p>\n\n\n\n
The cost of missed signals<\/strong><\/strong><\/strong><\/h2>\n\n\n\n<\/div>\n\n\n\nMissing early signs creates more than an efficiency problem. It gives attackers more time.<\/p>\n\n\n\n
The longer suspicious activity goes undetected, the longer an attacker has to move through the environment, gather information and increase the impact of an attack. By the time security teams respond, they are working with incomplete information and under greater pressure.<\/p>\n\n\n\n
Our latest whitepaper highlights the difference earlier detection can make. Organisations using AI and automation extensively reduced the breach lifecycle by around 80 days and saved approximately US$1.9 million per breach compared with those that did not.<\/p>\n\n\n\n
Missing early signs creates more than an efficiency problem. It gives attackers more time.<\/p>\n\n\n\n
The longer suspicious activity goes undetected, the longer an attacker has to move through the environment, gather information and increase the impact of an attack. By the time security teams respond, they are working with incomplete information and under greater pressure.<\/p>\n\n\n\n
Our latest whitepaper highlights the difference earlier detection can make. Organisations using AI and automation extensively reduced the breach lifecycle by around 80 days and saved approximately US$1.9 million per breach compared with those that did not.<\/p>\n\n\n\n
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