Today, organizations are confronted with a deluge of cyber threats, ranging from sophisticated AI-powered ransomware to tried and true brute force attacks.
At this point, IT security teams know it's essential to stay one step ahead of cybercriminals, but numerous barriers hinder such events and prevent effective threat intelligence that would otherwise enable them to do this.
Prioritization of vulnerabilities, investment in security training and tools, and a general re- evaluation of threat hunting tactics and strategies may seem like obvious steps towards improvement, but these initiatives can often feel herculean.
One of the most pervasive challenges confronting organizations in their quest for effective threat.
Inundated with a barrage of alerts and indicators of compromise, security teams often find themselves overwhelmed and unable to discern genuine threats from false positives.
The shortage of skilled personnel is yet another obstacle in the path of effective threat intelligence.
Interoperability issues within organizations existing security infrastructure constitute a significant hindrance to threat intelligence implementation.
This siloed approach impedes the flow of information and hinders timely threat detection and response.
Cybercriminals are continually developing new tactics, techniques, and procedures to evade detection, making it extremely difficult for IT security teams to identify and then act on threats.
Energy into developing threat profiles, deterrence tactics, and even remediation plans.
The willingness to look critically at operational shortcomings and prioritize areas of improvement that can contribute to better threat intelligence can pay off down the line, even if it means having to acknowledge some uncomfortable truths first.
It starts with contextualizing threat data and determining an organization's unique risk profile, business objectives, and industry-specific threats.
The bank would then want to create threat profiles based on what the most common types of attacks are against similar institutions, focusing on the various end goals these attackers have.
Keeping up with new threats requires agility and adaptability across an organization's security posture.
Regular threat intelligence updates, threat huntingexercises, and red teaming engagements can help organizations proactively identify vulnerabilities and improve their defensive capabilities.
It's important to note that without filling the skills gap and focusing on continuous learning across the security team, and by not investing in new cloud-native technologies, companies will continue to struggle to get the context they need to address threats, let alone be able to keep up with new ones.
Don't Wait to Infuse Threat Intelligence with AI & ML. Everything covered above still requires some degree of human interference.
Artificial intelligence and machine learning are already being used today to enhance threat detection, response, and overall cybersecurity efforts.
As these technologies become more sophisticated through deep learning, neural networks, and other techniques, more and more tactics and approaches to threat intelligence, hunting, and prevention will emerge.
Today, by leveraging these emerging technologies to unleash predictive and adaptive threat capabilities, companies can finally gain the upper hand against cybercriminals and establish effective threat intelligence programs.
This Cyber News was published on www.cyberdefensemagazine.com. Publication date: Sun, 28 Jan 2024 12:28:06 +0000