Examining the impact of an adept and novel threat to securing endpoints
It is no news that in recent times, cyber threats have rapidly emerged geometrically from human-based to an autonomous and intelligent event. Intelligent-based machine models have become the order of the day amongst cyber criminals which is used to learn the defence strategy of computation frameworks and launch novel attacks. Making remarks to this development explains the notion of “threat intelligence
Threat intelligence describes a process that involves the planning, gathering, processing, evaluating, and publishing information that constitutes danger to the functional capabilities of different computational infrastructure (e.g., network and servers). Interestingly, some of the functional advantage of threat intelligence to organisations includes resource allocation, risk analysis and awareness
?For instance, making remarks to the threat-intelligence-based findings published by the IBM- x-Force, organisations are now able to invest more in developing mitigation and preventative strategies to protect their I.T investments. Some of the notable findings by IBM-x-Force about threat intelligence reported that: over 30% of cyber-attacks are caused by unmanaged vulnerabilities, ransomware is the highest form of cyber-threat, manufacturing industry is rated as one of the top industries suffering from intelligent threat attack. Organisations may access large databases of threats by investing in cyber threat intelligence, which can significantly boost the security structure of their solutions, because security solutions are as good as the threat intelligence that powers them.
To effectively capture different parts of threat intelligence, as it relates to the functional areas of system infrastructure, it is important to describe different components responsible for threat- intelligence. First is the historical record of previous threats
To conclude, the impacts of intelligent threats to system architecture of organisations can be severe with different forms and level of implication. For example, an intelligent threat that triggers a distributed-denial-of-service (DDoS)
Secondly, the integrity and trust of the affected organization could be at stake, as customers may lose interest in engaging with them for further business transactions. This can lead to a sabotaging effect, especially considering the investments (financial, human, time, etc.) and resources that have been in place over the years by the organization management. Finally, a strong recommendation is for organisation to deploy an intelligent and autonomous-based security agent to handle novel and intelligent threats by not relying on only anti-virus as the security measures. This is so because, an anti-virus would not be sufficient to handle the different form and level of threats that are in vogue in recent times.
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