We build intelligent cybersecurity solutions
Machine Learning + Human Knowledge = Hybrid Security Intelligence.
Machine Learning for CyberSecurity
Machine learning helps us transform huge datasets into relevant cybersecurity knowledge, eliminating the need to involve in repetitive and mundane tasks.
Given the right data and training, machine learning can make sense of the security threats faces and help focus on more valuable, strategic tasks. It can also be the answer to upcoming cybersecurity threats your organization can face. At BugSkan we consider machine learning and artificial intelligence technology as an enabler, and not a risk, for cybersecurity expertise. Our technology can parse millions of log records per day to uncover a few hundred relevant ones which are of value to security experts.
Applications of our technology
- Vulnerability Identification & Management
- Proactive Web & Network Defense
- Security Incident & Event Management (SIEM)
- Incident Response & Cybercrime Investigation
- APT & Insider Threat Detection
Global Team of CyberSecurity Experts
Security, just like art, is an end-result of creative process that is performed by the best brains with most relevant data. That is why we rely on diverse talent pool of security researchers.
In the current digital age, having the passion, knowledge and right tools isn't enough. Positive outcomes are more reliable on the choice of data and the right sense of decision making capabilities. While the former can be generated programmatically, the latter is only the addressed via sheer experience earned through hours of hard work, errors and perseverance. This is applicable to any industry but more so in cybersecurity since the threat landscape keeps evolving with newer technologies being adopted at a massive rate.
At BugSkan, our team members and their collective intelligence helps us to identify root cause of hacking incidents while also addressing critical cybersecurity threats before they actually happen.