Cyberattacks have the potential to significantly disrupt millions of people by focusing on critical services including healthcare systems, the financial industry, corporations, and government agencies. An organization’s reputation can be seriously damaged by a cyberattack, which can result in a decline in stock markets, a decline of client faith, and diminished revenue. When vulnerabilities are exposed by hackers, governments and other public institutions also lose credibility. Security measures such as firewalls, encryption, and safety reviews require significant investments from organizations. Administrative expenses are raised by the demand for regular upgrades and qualified cybersecurity experts. To identify and notify the security administrator of these cyberattacks, we presented in the research a multilayer layer perceptron (MLP)-based intrusion detection system. Applying the suggested technique to the NSL-KDD benchmark dataset yields a 98.3% detection accuracy over the attacks.