The organizations are continuously battling a variety of cyber-attacks. To defend against these sophisticated threats, Scutum offers multilayered security solutions to offer greater security capabilities over the four main phases of a cyberattack namely detection of the attack surface and compromise, as well as moving laterally, and data exfiltration.
In 2024, amid all the hype about Artificial Intelligence (AI) during the past year, we’re being frequently asked by potential as well as customers, “Scutum, how do you use AI to keep us safer?”
In this blog, we will explore a handful of examples of Scutum AI use across key stages of an attack, demonstrating how it can detect and stop threats, protect data, and make teams more efficient. We began to incorporate AI detections into our arsenal a few years ago in order to improve other detection tools which has already been a success.
Stage 1: Attack surface discovery
Although we’ll devote the bulk of this post to talking about AI in different areas, the first step of a cyberattack involves looking at attack surfaces in order to find possible weaknesses that can which could be discovered. They typically look for things such as firewall or VPN configurations that aren’t correct, as well as servers that have not been patched. We strongly recommend thinking about ways to hide your current discoverable software behind Scutum for immediate reduction of the attack surface and decrease the chance of a successful attack.
Stage 2: Danger of compromise
At the time of compromise, attacks exploit security holes that allow unauthorized access to the employee’s systems or applications. Scutum’s AI-powered tools help minimize the risks of compromise while also enhancing efficiency.
AI-powered phishing and C2 prevention: We can better identify and prevent credential theft as well as exploit browsers from phishing websites using real-time analysis of threat intelligence derived from trillion signals per day. The AI we use makes our work even better at finding new phishing and C2 websites.
File-based attacks: We utilize AI within our cloud sandbox in order to make sure there’s no compromise in the security of your data and productivity. In the past, when it came to using the sandbox, fresh files came in, and users had to wait while it was analyzed, which can disrupt efficiency. The AI Instant Verdict in the sandbox blocks the spread of infections to patients by immediately stopping malicious files with high confidence by using AI which eliminates the need to wait until analysis is completed on the files that we think are likely to be malicious. Our high-quality model is the result of years of continuous learning, analysis, and adjusting interactions, that are based on 500 million files.
AI to stop web-based dangers: Scutum’s artificial intelligence-powered browser isolation blocks all threats that are zero-day while making sure users can use the correct websites in order to get the job completed. URL filtering can be effective to protect users, however, since sites can be blocked or allowed in some cases, sites restricted are secure and necessary to be used. This can be a drain on productivity because users can’t use legitimate websites for purposes of work. It results in the need for a support ticket. AI Smart Isolation determines when an internet site could be unsafe and then allows access without restriction. It means that organizations do not have to block sites in order to boost efficiency and also keep an effective web security position.
Stage 3: Lateral movement
After entering an organization, hackers attempt to gain access to sensitive information. Scutum’s AI technology reduces the potential attack radius using automated segmentation of apps that are based on an analysis of the patterns of user access to minimize the risk of lateral movement. In the example above, if we only see 50 out of the 500 employees using an application for finance and we use that information to generate an app segment that restricts access to just the 50 employees, thereby cutting down the possibility of blast radius and the possibility of lateral movement by about 94 percent.
Stage 4: Data exfiltration
The last step of an attack is the illegal removal of sensitive information from an organization. Scutum makes use of AI to enable businesses to implement data security more quickly to secure sensitive information. Thanks to AI-powered data discovery, businesses are no longer stymied by the tedious process of fingerprinting their data and coding that impedes the deployment. The latest data discovery technology automatically discovers and categorizes all data right from the beginning. Data is then identified as confidential information right away and can, therefore, be secured immediately from any potential breach of security and exfiltration.
Scutum’s security tools based on AI offer companies robust security throughout the four phases that an attacker can take. We also use AI to provide security maturity tests in our Cyber Risk Management product. Be assured that we’re engaged in constructing, analyzing, and developing the latest AI capabilities daily. There is definitely much more to come in the future since AI-powered security becomes essential to protect organizations from cyberattacks.
