Methods used to identify cyber risk Cybersecurity risk assessments allow stakeholders and security teams to make informed decisions about how and where to implement security controls to reduce the overall risk and ensure the organisation is comfortable with its cybersecurity strategies .
But , with so much technology available , which is the best tool ?
Henriques at Exponential-e says : “ Companies need a proactive stance to security – and automation can be a big help . Many tools now make use of AI , data analytics , and machine learning to identify threats before attacks have been conducted , which makes a massive difference in reducing cyber risks and mitigating vulnerabilities . Ultimately , they extend the human ability to process , analyse , and interpret data in mass volume , which saves time and money , greatly reducing the chances of a malicious actor bypassing cybersecurity processes .
“ Automation can be incredibly powerful when it comes to analysing behavioural patterns and generating insights that security professionals can interpret . Almost every reliable security tool on the market today uses it to support automated detection , but we ’ re not yet at a point where we can remove the human layer from the cybersecurity ecosystem ,” he adds .
Bridewell ’ s Martin Riley says : “ At the core of an effective Managed Detection and Response ( MDR ) strategy are threat intelligence , threat hunting and penetration testing , plus deployment and management of security monitoring and incident
54 % of businesses are concerned their cyber risk assessments are not sophisticated enough
response . These solutions support the NIST framework , allowing organisations to identify , protect , detect , respond and recover from cyber threats . Underpinning these services is detection and response technology that is increasingly powered by artificial intelligence ( AI ) and machine learning ( ML ).” cybermagazine . com 95