Technology is revolutionizing the way people work, so organizations must be ready to defend against cybersecurity risks. Whether a security flaw compromises your data systems or an attack steals vital information, these incidents can cause severe harm to both your business and reputation. To ensure that you remain secure, it is essential to conduct a comprehensive cyber risk assessment and implement advanced cybersecurity solutions that are tailored to your organization’s needs.
With this in mind, you must ensure your organization’s cybersecurity posture is carefully designed and tailored to address the threats you face. Simply adding new tools or techniques won’t make you any safer; having a strategic plan in place will. The maintenance of
Combatting Cyberattacks with Predictive Analytics
Predictive analytics has the potential to revolutionize cybersecurity. But one major hurdle is the sheer volume and variety of data involved in predicting security events. Thus, having an integrated, intelligent platform that can process massive amounts of information quickly and provide meaningful insights is essential.
When it comes to detecting advanced threats such as malware, phishing and ransomware, traditional approaches of scanning large amounts of data for patterns are no longer effective. With today’s rapidly evolving threats, scanning large amounts of data for patterns simply isn’t enough.
Machine learning, deep learning and other forms of artificial intelligence (AI) come into play. These technologies can detect even minute changes in behavior or patterns to predict likely attacks and provide alerts in real time.
But, like any form of AI, there are potential drawbacks. For instance, these solutions require a significant amount of storage, memory and computation power.
Additionally, they must be capable of running at the scale and speed necessary for processing increasingly agile digital data and workload patterns. Furthermore, they need to ingest, organize, and correlate all disparate data generated from various sources within an organization.
To accomplish this, the security team must be able to integrate all these tools and processes into one centralized system. Doing so allows them to quickly respond to security incidents that arise and can prevent malware or other attacks from spreading.
Due to these challenges, security teams should consider using an advanced cybersecurity solution that can automatically detect anomalies in network traffic and data flows as well as quickly detect “normal activity.” Doing so will enable them to more quickly identify and prioritize threats as they emerge.
FICO is one such company, using their Cyber Security Analytics platform to proactively detect threats in real-time network traffic and data streams without relying on specific knowledge of their signatures. Through self-learning analytics and threat intelligence sharing, FICO continuously improves its model as more data from users is received.
Energy industry personnel must prioritize safeguarding against cybersecurity threats. As renewable energy becomes a more popular source of power production, protecting infrastructure and data necessary for safe delivery is of the utmost importance. That is why many energy companies are turning to advanced cybersecurity solutions not only to keep their systems secure but also ensure they adhere to structured regulations.