Security information and event management (SIEM) is a system that records, tracks, and offers enterprise security professionals insight into the activities that occur in an organisation's IT environment.
SIEM technology initially evolved from the log management discipline, however, over the past decade SIEM systems have become extremely sophisticated. They are a combination of security event management (SEM) – which provides threat monitoring, event correlation and incident response in real-time by analyzing log and event data – and security information management (SIM) which collects, examines and reports on log data.
What is our SIEM offering?
Stryve collects and aggregates log data generated throughout the organization’s technology infrastructure. Data is collected from a variety of sources ranging from host systems and applications to network and security devices such as firewalls and antivirus filters. Stryve then not only identifies and categorises incidents and events but also performs an analysis of them.
Two of Stryve’s key offerings are:
- We compile reports centred around security-related incidents and events, such as malware activity, unsuccessful logins and other malicious activities that may have occurred.
- We also indicate potential cybersecurity issues by alerting clients when our analysis reveals an activity that runs against predetermined rulesets.
How does our SIEM offering work?
A SIEM system collects and aggregates data from various sources, such as servers or firewalls, and then normalises the information that is gathered. The logs generated from these various sources are all different, however, Stryve uses a custom-built SIEM system to apply rules onto the data and standardise it.
By normalising the data, Stryve can analyse and compare it. Stryve’s experts then use this data to identify threats or anomalies that may manifest themselves as threats in the future. Moreover, the system can be used to easily identify the root of an issue which makes the remediation process more efficient and precise.
SIEM systems also allow Stryve experts to analyse incidents that occur and investigate the circumstances that surround them. Furthermore, Stryve can apply Artificial Intelligence, or AI, and machine learning to a SIEM system which facilitates automatic responses to incidents.
What are the key features?
Some of the key features include:
- Consolidation of disparate data into a centralised system;
- The facilitation of data analysis from a variety of sources;
- More accurate and efficient analysis of data
What are the key benefits?
Some key benefits include:
- Proactive prevention of cybersecurity attacks;
- Efficient detection and analysis of cybersecurity threats;
- IT compliance;
- Mitigation of the impacts of a cybersecurity breach;
- Peace of mind
What do Stryve offer that is different?Talk to an ExpertContact us
Stryve offers a unique approach to security intelligence which guarantees that our clients will always be one step ahead of the latest cybersecurity threats. By aggregating, normalising and monitoring all of our clients’ data, we can analyse trends and use the threat intelligence generated from individual organisations to improve security measures across our entire client base. For example, if one of our clients suffers a cyberattack, we can investigate its origin and implement a solution across all of our SIEM systems to ensure that other clients do not fall victim as well. This is particularly advantageous for SMEs: most organisations cannot afford to purchase threat intelligence information, and, even if they do find room in their budget, the information becomes outdated quickly. By contrast, we offer a SIEM service that does not simply react to threats that our client’s encounter, but instead utilises our resource pool to mitigate against the most sophisticated cyberattacks.