Another year, another new set of cybersecurity threats to overcome, outwit and mitigate against. At the beginning of 2021, the cybersecurity world was informed by CISA (the USA Cybersecurity and Infrastructure Security Agency) of a spate of attacks targeting cloud environment configurations, supposedly occurring as a result of the increase in remote working.
The objective of an organization when implementing cybersecurity controls is to eliminate risk, but this oftentimes involves settling for managing risk at an acceptable level. Each organization defines what that acceptable level is depending on several factors including the environment, the criticality of function, the asset type, etc. There are many methods and techniques that an organization can then use to manage this risk. One of the most commonly used methods is patching.
With more than a decade long history of businesses adopting cloud computing, less than one-third of the enterprises have a documented cloud strategy as per Gartner's estimation. Despite the increased migration to cloud security, we discussed the top cloud security risks that security experts are afraid of today.
It’s estimated that over 50% of employees use their personal devices for some work activities. As more people use their personal smartphones or laptops to do their jobs, the security risks at an organization increase dramatically. BYOD — whether instituted as a formal policy or as an adaptation to the pandemic — opens a company’s systems and platforms up to hacking, data loss, and insider threat.
At Elastic Security, we approach the challenge of threat detection with various methods. Traditionally, we have focused on machine learning models and behaviors. These two methods are powerful because they can detect never-before-seen malware. Historically, we’ve felt that signatures are too easily evaded, but we also recognize that ease of evasion is only one of many factors to consider.
The lifecycle of a cyber security incident can be broken up into three stages: investigation, remediation and notifications/disclosures, the latter often being the most complex, time consuming and costly. Disclosure challenges are compounded due to breach notification laws that require initial statements before the investigation is completed and the incident is fully contained. They can also stem from improper interpretation of digital forensics findings.
If you follow cybersecurity current events, you may know that the cost and frequency of a data breach continue to skyrocket. Organizations are constantly under attack, and the shift to remote work is only exacerbating the problem. According to IBM’s 2020 Cost of a Data Breach Report, most respondents are concerned that identifying, containing, and paying for a data breach is more burdensome today than ever before.
To those who pay attention to such things, it seems like a new vulnerability in smart car systems is found every week. In 2020, the numbers beat all previous years. The inescapable conclusion is that smart cars are now among the favorite targets of hackers and APT (Advanced Persistent Threat) actors. One of the main reasons for this is the sheer number of different systems that the average connected car contains today.
Microsoft have recently shared [1][2] details of active threats targeting on-premise Microsoft Exchange servers worldwide by exploiting chained vulnerabilities that lead to the threat actor gaining full control of the affected email server.
Businesses have known for a long time that there always are weak links in security, especially mobile security. The worse part is not that businesses get affected by these security issues, but the fact that public awareness is terribly low on how vulnerable this can be. The man in the middle attack has been one of the most exploited ways hackers have tried and managed to steal information and money.
