Artificial intelligence (AI) has the potential to significantly improve the ability of organisations to detect and prevent insider threats. Insider threats refer to the danger posed by individuals within an organisation who have access to sensitive information and resources, and who may use that access for malicious purposes. This can include employees, contractors, and other individuals who have been granted access to an organisation’s systems and data. Insider threats can be particularly dangerous because they often go undetected until it is too late, as insiders have a level of trust and access that makes it easier for them to carry out their malicious activities without raising suspicion.
There are several types of insider threats, including malicious insiders, accidental insiders, and compromised insiders. Regardless of the type of insider threat, the consequences can be severe for organisations. Insider threats can lead to financial losses, damage to an organisation’s reputation, and even legal consequences. In some cases, insider threats can even pose a risk to public safety, as in the case of an employee who intentionally or unintentionally causes a safety incident at a nuclear power plant or an aviation facility.
To mitigate the risks posed by insider threats, organisations can use AI to monitor employee behaviour and identify potential insider threats. AI algorithms can analyse data from a variety of sources, including employee emails, network activity logs, and access records, to identify patterns and anomalies that may indicate a potential insider threat. For example, an AI algorithm may identify an employee who is accessing a large amount of sensitive data and then attempting to exfiltrate it from the organisation.
AI algorithms can also be trained to recognise specific behaviours that may be indicative of an insider threat, such as attempts to access restricted data or systems, or sudden changes in an employee’s behaviour or work patterns. By analysing this data in real-time, AI algorithms can alert organisations to potential insider threats and allow them to take action to mitigate the risks. Overall, the use of AI to detect malicious insiders can be a powerful tool for organisations looking to protect themselves from the risks posed by insider threats. By continuously monitoring employee behaviour and identifying potential threats, organisations can better protect themselves and their sensitive data from the dangers of malicious insiders.
CEO & Co-Founder, ShadowSight
Who is Christopher McNaughton
Chris is a proficient problem solver with a strategic aptitude for anticipating and addressing potential business issues, particularly in areas such as Insider Threat, Data Governance, Digital Forensics, Workplace Investigations, and Cyber Security. He thrives on turning intricate challenges into opportunities for increased efficiency, offering pragmatic solutions derived from a practical and realistic approach.
Starting his career as a law enforcement Detective, Chris transitioned to multinational organisations where he specialised and excelled in Cyber Security, proving his authority in the field. Even under demanding circumstances, his commitment to delivering exceptional results remains unwavering, underpinned by his extraordinary ability to understand both cyber and business problems swiftly, along with a deep emphasis on active listening.