In a rapidly transforming threat landscape, cyber defense solutions must be both innovative and flexible to harden organizational security against ever-evolving adversarial attacks. While current signature detection techniques effectively combat known attack structures, they are inherently reactive and require significant time to respond to sophisticated attacks. These challenges are compounded by the individualized characteristics of a given network, as each demands a system that understands its unique threats. Cybersecurity experts face the challenge of building flexible solutions that can learn the norms of a given network while rapidly adapting to defend against new attack structures. Generating timely identification of cyber threats hidden within the high volume of data generated by a network is an industry-wide problem that continues to challenge and stress organization's cybersecurity operations.
Current Technologies put the organization's cybersecurity at risk. Even with the new advancements in the defence strategies, security professional fails at some point. Combining the strength of AI with the skills of security professionals from vulnerability checks to defence becomes very effective. Organizations get instant insights, in turn, get reduced response time. Artificial Intelligence for Cyber Security is the new wave in Security.
The rise of the AI is inexorable. Artificial Intelligence has become a part of everyday lives in some form or the other. It has massive potential to drive innovations and considerable improvements in this data-driven world. From predictive analytics, chatbots, to assistant-enabled homes to self-driving cars and cybersecurity, AI is everywhere. It has become viable for almost all sectors.
Cybersecurity incidents are among the greatest concerns of businesses, government agencies, and private citizens today. In the modern world, protecting our data and information assets is nearly as important as maintaining the security of our physical assets. It should not be surprising, then, that data analytics play a key role in cybersecurity. Analytics and machine intelligence, a field concerned with producing machines able to autonomously perform tasks that would normally require human intelligence, can drive an organization from reactive to proactive when coupled with organizational change. This capability enables organizations of all types to move from simply measuring signals (data), to creating sentinels (machine learning algorithms), and then moving ahead to sense-making (actionable machine intelligence).
The nature, scale, and diversity of the cybersecurity threats that the modern organization faces means leveraging the power of automated security tools is a necessity. Large enterprises can generate billions of distinct system logs and events each day. Manually poring through such information is impossible. Security software and automated tools make the process of sifting through such security data quick and efficient. Among the different categories of cybersecurity tools an organization could use to enforce their security policies, security analytics software is among the most critical.