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As organizations continually face security risks and malware attacks, 96% of employees believe that information gathering is crucial in an organization, as it helps identify vulnerabilities and assess risks, according to a survey by Nuvepro indication learning with cybersecurity tools is vital for mastering security practices and tool efficacy.
In fact, 90% of participants emphasized the need for AI implementation in enterprises.
“Cyber security has become a top priority, and there is an urgent need to upskill our workforce to effectively use cyber security tools. If gaps are addressed in advance, enterprises will face lower security risks. AI adoption in enterprises will also help screen potential cyber threats,” said Giridhar LV, founder and CEO of Nuvepro.
The survey had participants from various enterprises, with 72% of them having worked on cyber security projects. Popular passive forms of information gathering used by respondents in the cyber security space include port scanning with Nmap and searching DNS records.
Port Scanning is a feature of Nmap that detects the status of ports on active hosts in a network. Searching DNS records is essential in cybersecurity for identifying malicious activities, understanding network infrastructure, and verifying domain ownership.
Most respondents preferred active reconnaissance, which interacts directly with the target, while passive reconnaissance uses third-party sources. Reconnaissance refers to the initial stage of a cyberattack where attackers gather information about their target to identify vulnerabilities and plan attacks.
About 23% of respondents belonged to the retail sector. Other sectors represented included BFSI, healthcare, and energy. To address complex breaches related to cyberattacks, participants suggested using multi-agent solutions like use cases, developer tools, Langgraph, traffic management, HITL (Human-in-the-Loop), evaluation, and robotics.
Respondents emphasized the need for hands-on labs for risk-free AI implementation. The primary advantage of hands-on learning for AI is building job-ready skills in real-world environments.
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