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TAC Security Revolutionizes Cyber Risk Management with AI-Powered ESOF Cyber Risk Quantification
Welcome to the cutting-edge world of cyber risk management! TAC Security, a global leader in Vulnerability Management, is thrilled to announce the enhanced ESOF Cyber Risk Quantification (CRQ). This groundbreaking AI-powered platform empowers organizations to translate cyber risk into financial terms, providing executives with the insights needed to make informed decisions about their cybersecurity posture.
Cyber Risk Quotient (CRQ):
The Cyber Risk Quotient (CRQ) stands as a vital concept in cybersecurity and risk management, serving as a comprehensive metric to quantify and evaluate an organization’s exposure to potential cyber threats and vulnerabilities. A correctly applied CRQ offers a nuanced understanding of the overall cybersecurity posture.
Conventional CRQ Models:
Conventional CRQ models rely on the FAIR model, determining the CRQ as a function of breach likelihood and impact. Leveraging data from the organization and industry-specific sources, these models compute the CRQ value in US dollars for accurate valuation. The process involves evaluating vulnerability severity, forming the basis for a comprehensive risk score, which is then used to assess and assign a CRQ value, playing a pivotal role in evaluating assets and organizations.
AI-based ESOF CRQ:
ESOF CRQ, powered by Artificial Intelligence, redefines cyber risk quantification with a holistic approach, going beyond conventional methods. Unlike traditional models, it integrates data from various sources, adapting dynamically through an AI-driven neural network for a more accurate assessment. By considering multifaceted parameters beyond vulnerability severity, such as exploitability and historical threat data, ESOF CRQ provides organizations with nuanced insights, setting a new standard for precision in cybersecurity.
Comprehensive Data Assimilation:
ESOF CRQ goes beyond relying solely on organization-provided data. It integrates information on specific vulnerabilities, providing a holistic perspective that encompasses the organization’s overall data landscape and drills down to specific vulnerabilities within assets.
AI-Powered Neural Network:
With AI integrated into ESOF, the CRQ platform takes center stage, harnessing the advanced capabilities of a neural network model. ESOF CRQ adeptly assesses the impact of each vulnerability on an organization’s cyber risk, distilling the complex web of information into a comprehensive score.
Refined Training Regimen:
ESOF CRQ employs a refined and robust training regimen, extending beyond a focus on vulnerability severity and the Common Vulnerability Scoring System (CVSS) Score. This innovative approach encompasses a multitude of parameters associated with vulnerabilities, ensuring a comprehensive and nuanced perspective in the assessment process.
Multifaceted Vulnerability Assessment:
The methodology empowers the neural network to delve deeper into the intricacies of each vulnerability, considering attributes like confidentiality, integrity, and availability. This multifaceted approach equips organizations with heightened cybersecurity insight and preparedness, revolutionizing how vulnerabilities are identified and addressed in the ever-evolving cybersecurity landscape.
Empowering Informed Decision-Making:
ESOF CRQ, with its advanced AI capabilities and comprehensive data assimilation, provides organizations with a clear and actionable understanding of their cyber risk posture. This empowers executives to make informed decisions about cyber insurance coverage, risk mitigation strategies, and resource allocation.
About TAC Security:
TAC Security, a global leader in Vulnerability Management, offers comprehensive solutions to help organizations identify, assess, and remediate vulnerabilities across their IT infrastructure. Trusted by Fortune 500 companies, leading enterprises, and governments worldwide, TAC Security’s AI-powered platform, ESOF, is committed to helping organizations achieve their cybersecurity goals and stay ahead of evolving cyber threats.
