With organisations constantly facing security risks and malware attacks, 96% of the employees said that information gathering is important in an organisation as it helps uncover vulnerabilities and assess risks, said a survey by Nuvepro indication learning with cybersecurity tools is critical for mastering security practices and tool efficacy.
In fact, 90% of the participants stressed on the need for implementation of AI in enterprises.
“Cyber security has become the need of the hour and there is an urgent need to upskill our workforce to be able to use cyber security tools effectively. If gaps are plugged in advance, enterprises will be subjected to lower security risks. Al adoption in enterprises will also help screen potential cyber threats,” said Giridhar LV founder and CEO Nuvepro.
The survey had participants from various enterprises and 72% of them had been working on cyber security projects. Passive forms of information gathering that are popularly used by the respondents working in the cyber security space include port scanning with Nmap and searching DNS records.
Port Scanning is one of the features of Nmap wherein the tool detects the status of the ports on active hosts in a network. Searching DNS records is important in cybersecurity for identifying malicious activities, understanding network infrastructure, and verifying domain ownership.
Most of the respondents also said that they prefer active reconnaissance which interacts directly with the target. Passive reconnaissance, meanwhile, 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 the respondents belonged to the retail sector. BFSI, healthcare, and energy were some other sectors that the respondents worked for. In order to solve complex breaches with regards to cyberattacks, the participants outlined the use of multi-agent solutions like use cases, developer tools, Langgraph, traffic management, HITL (Human-in-the-Loop), evaluation and robotics.
Respondents said that there is need for hands-on labs for risk-free AI implementation. The biggest advantage for hands-on learning for AI was to build job-ready skills in real-world environments.
In fact, 90% of the participants stressed on the need for implementation of AI in enterprises.
“Cyber security has become the need of the hour and there is an urgent need to upskill our workforce to be able to use cyber security tools effectively. If gaps are plugged in advance, enterprises will be subjected to lower security risks. Al adoption in enterprises will also help screen potential cyber threats,” said Giridhar LV founder and CEO Nuvepro.
The survey had participants from various enterprises and 72% of them had been working on cyber security projects. Passive forms of information gathering that are popularly used by the respondents working in the cyber security space include port scanning with Nmap and searching DNS records.
Port Scanning is one of the features of Nmap wherein the tool detects the status of the ports on active hosts in a network. Searching DNS records is important in cybersecurity for identifying malicious activities, understanding network infrastructure, and verifying domain ownership.
Most of the respondents also said that they prefer active reconnaissance which interacts directly with the target. Passive reconnaissance, meanwhile, 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 the respondents belonged to the retail sector. BFSI, healthcare, and energy were some other sectors that the respondents worked for. In order to solve complex breaches with regards to cyberattacks, the participants outlined the use of multi-agent solutions like use cases, developer tools, Langgraph, traffic management, HITL (Human-in-the-Loop), evaluation and robotics.
Respondents said that there is need for hands-on labs for risk-free AI implementation. The biggest advantage for hands-on learning for AI was to build job-ready skills in real-world environments.
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