Will Artificial intellingence (AI) ever replace Cyber security Experts ?
source : techcrunch.com
It's not about replacing humans,but about making them Super humans ---- caleb Barlow ,IBM Security
At the heart of the system is a team of cybersecurity experts who will go through the results of the machine learning analysis and ultimately identify and handle security incidents. With the bulk of the work being carried out by machine learning, the experts and software engineers can become much more productive and focus on more advanced concepts, such as identifying relationships between threats, reverse engineering attacks and enhancing the overall system.
“The human component is an important factor,” says Erka Koivunen, cybersecurity advisor at F-Secure. “Attackers are human, so to detect them you can’t rely on machines alone. Our experts know how attackers think, the very tactics they use to hide their presence from standard means of detection.”
The main argument against security solutions powered by unsupervised machine learning is that they churn out too many false positives and alerts, effectively resulting in alert fatigue and a decrease in sensibility. On the other hand, the amount of data and events generated in corporate networks are beyond the capacity of human experts. The fact that neither can shoulder the burden of fighting cyberthreats alone has led to the development of solutions where AI and human experts join forces instead of competing with each other.
MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) has led one of the most notable efforts in this regard, developing a system called AI2, an adaptive cybersecurity platform that uses machine learning and the assistance of expert analysts to adapt and improve over time.
Humans and robots have no other choice than to unite against the ever-increasing threats that lurk in cyberspace.
The system, which takes its name from the combination of artificial intelligence and analyst intuition, reviews data from tens of millions of log lines each day and singles out anything it finds suspicious. The filtered data is then passed on to a human analyst, who provides feedback to AI2 by tagging legitimate threats. Over time, the system fine-tunes its monitoring and learns from its mistakes and successes, eventually becoming better at finding real breaches and reducing false positives.
“To date, human intelligence is still the most pointed form of intelligence and can be the most effective in a specific operation or crisis,” says Brook Zimmatore, the company’s CEO. “However, focus on Machine Learning technology across any industry is vital as human efforts have their limitations.”
It’s still too early to determine whether any of these efforts will result in cybersecurity experts being totally replaced by machine-learning-based solutions. Maybe the balance will shift in the future, but, for the moment, humans and robots have no other choice than to unite against the ever-increasing threats that lurk in cyberspace.