Companies usually appoint cyber security consultancies to conduct processes like Web App and Network penetration tests, to give a clear idea of where some of their current threats and weaknesses lie. The current trends in penetration tests will better help organisations understand the impact of changing variables on the organisation’s cyber infrastructure. With information to help strengthen IT security and make the network more resilient to malicious activities.
Organisations’ are likely to increase the use of proactive measures like penetration testing and vulnerability scanning to assist in identifying their possible weak points. Firms can lose millions due to a successful security breach, resulting in senior management and leadership teams paying more attention to preventative and proactive services under the penetration testing remit.
One of the areas organisations are increasingly investing in is the deployment of testing services with more companies providing bespoke and advanced testing services such as such as red teaming and continuous security testing.
Nearly two-thirds of people own and use smartphones, and several companies have created websites or applications that work on these gadgets. As a result, hackers and malicious actors are attempting to compromise users via their mobile devices.
Security professionals are always looking at the tactics, techniques, and procedures of their black hat adversaries to develop their own war chest to best protect their customers and minimise their chances of being successfully attacked.
However, increased security awareness training and more investment in device security can play a key role in ensuring an organisation and it’s users maximise their capacity for self-defence.
As we’ve seen recently attacks on supply chains are becoming increasingly popular among hackers and this looks set to continue. Hackers are aware that third-party software used by huge corporations is less secure than these large organisations and that third-party software can be easily exploited and utilised to get access to more renowned well equipped companies and their infrastructure.
The application of Machine Learning (ML) in cybersecurity is spreading quickly and taking on a more predictive character. Cyber security is becoming both more effective and less expensive at the same time, thanks to ML and computer-assisted security solutions. With the assistance of algorithms, ML makes patterns from an enormous dataset. In this manner, it can foresee and react to ongoing attacks in real time. Building automated security systems, Natural Language Processing (NLP), facial identification, and autonomous threat detection have all benefited greatly from AI. It is also used to create smart malware and attacks that get through the most recent and complex data security detection mechanisms. Threat detection systems with AI capabilities can anticipate new attacks and immediately alert administrators to data breaches.
Since most organisations are now cloud-based, security measures must be constantly reviewed and updated to protect against data leaks. Although cloud apps currently have robust cybersecurity measures in place, dangerous malware, phishing scams, and other problems often originate at the user end.
The world we are living in is rapidly changing as we’re seeing an increased rate of technological change and adoption. This leaves organisations in a more vulnerable situation, with an increased chance that their data might end up in the hands of the wrong people. Organisations must take all the necessary steps to protect themselves as well as avoiding any costly consequences in the future.
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