Cybersecurity and Risk Intelligence  

Integration between Cybersecurity and Risk Intelligence is a must to deal with the ever-evolving geopolitical landscape, emerging technologies, and new-age risks and threats. New-age technology is used by organisations across various domains – from infrastructure to structural processes to People. This has made businesses vulnerable to cyberattacks and other disruptive events. The Critical Infrastructure of the organisation is vulnerable to a range of cyberattacks such as ransomware, data theft, and infringement, Denial of Service attacks, and phishing.

Cyber Threat Intelligence for Cyber Infrastructure Protection

Cyber Threat Intelligence is that part of cybersecurity where raw data on cyber-attacks are collected, analysed, and shared with several stakeholders. Cyber Threat Intelligence, thus, shares information about motives behind threat actors, attacks, and their vulnerabilities. With such insights, organizations become better equipped to predict, mitigate, and respond to cyber threats.

Cyber Threat Intelligence provides

  • Strategic Intelligence: Reports on cyber threats associated with general risks including geopolitical threats or emerging technological threats.
  • Operational Intelligence: Gives detailed technical information about the nature of attacks, motives of the actors, threat actor capabilities, and potential campaigns.
  • Tactical Intelligence: Helps in recognising indicators of comprise such as malicious IPs, internet domains, and hashes to identify potential threats.

Role of Cybersecurity in Risk Intelligence

Critical Technological Tools and cybersecurity play an important role in formulating an integrated risk management framework that increases resilience and ensures business continuity.

  • Threat Detection and Analysis
    • Technology aids in identifying patterns and anomalies as well as sources of disruptions and attacks.
    • Technological tools including Artificial Intelligence -Machine Learning [AI-ML] platforms, Security Information Event Management Systems, and Intrusion Detection systems help in detecting threats and analysing the potential impact of these threats.
  • Risk Mitigation and Risk Matrix
    • Risks can be quantified according to their impact and organisational vulnerabilities and arranged in a Risk Matrix with the help of technology.
    • A holistic risk matrix covering all areas of the organisation including functional roles such as capital allocation, strategic planning, and expansion, supply chain management, operation management, etc can aid in integrated risk management.
  • Incident Response Planning
    • Technological tools help in the development and execution of incident response plans directed at various risks including cyber threats, or other disruptive events such as natural calamities and critical infrastructure failures etc.  
    • Through multiple scenario planning and stress testing, organisational risk appetite can be assessed and vulnerabilities can be reduced to increase resilience.
  • Monitoring
    • Through AI- ML platforms, potential disruptive events can be identified and current developments 24/7 can be tracked to understand the evolving threat landscape.
    • Risk mitigating strategies can be assessed with respect to their performance and necessary changes can be made to address the evolving risks better.
  • Automated Risk Assessment and Audit
    • Automated risk assessment helps in identifying patterns, anomalies, and disruptions within operational processes, supply chain operations, or physical infrastructure systems. Technological tools aid in issuing alerts to inform management about ant significant disruptions.
    • Automated risk auditing helps in periodic risk reviews of current processes and risk-mitigating strategies.

New Trends in Risk Intelligence and Cybersecurity:

  • Zero Trust Model:
    • A zero-trust model is a security model in cybersecurity that works on the principle of ‘Never trust, Always verify’ wherein each user and device are checked and verified continuously.
    • In Risk Intelligence, organisations are embracing the zero-trust architecture to conduct continuous verification in threat intelligence analysis, data sharing, and internal threat detection.
  • AI-ML Tools:
    • New-age technological tools such as AI-ML help in predictive risk analysis, continuous threat monitoring, and issuing alerts for significant disruptive events.
    • AI-ML tools help in analysing OSINT data from various sources including social media, public platforms and records, and local news.

Thus, a collaboration between cybersecurity and risk intelligence is pertinent to address the evolving threats affecting critical cyber infrastructure as well as organisational structure.

The Right Technological Tool for Your Organisation

Mitkat’s AI-powered datasurfr helps organisations to stay abreast of potential risks and emerging trends.  It provides an array of services including Critical Event Monitoring, Data Analysis, and Operational risk reports to make your organisation Risk Intelligent. Mitkat offers a variety of services including Risk Consulting and Security Design, Protective Services, and cyber security services which help organisations to navigate uncertain times with ease and confidence.

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