Cyber Risk Quantification Platform
We believe in AI-augmented human decisions. Our Cyber Risk Quantification platform employs the best of both worlds, AI and human expertise, to help enlighten your cyber investment decisions.
Expertise
Actionable Cyber Threat Intelligence
Citalid’s CTI provides constantly evolving insight into different cyber threats’ offensive capabilities, so we can accurately predict the frequency of attacks and your level of vulnerability.
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Constant monitoring
Ongoing monitoring and investigation by CTI experts
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Personalised findings
Contextualised and personalised status reports on the cyber threats you may face
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Prioritised suggestions
Prioritised recommendations for improving the security maturity of your business
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Specialist knowledge
Actionable and accurate data that enables us to provide state-of-the art knowledge of global cyber threats
FAIR-based Risk Quantification
We believe that risk quantification exists specifically to support business decisions. We made the FAIR (Factor Analysis of Information Risk) framework quick and easy to employ through dynamic data and expert models.
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Automatic estimation
Automatic estimates for all FAIR parameters based on contextual inputs
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Financial Impact
Results are focussed on financial impact and ROI, helping them resonate with the C-Suite
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Probability simulations
Probability is managed through Monte Carlo simulations
Frequency Simulations
For any given risk scenario, we automatically estimate the number of attacks that might target your company in the coming year.
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Strategy information
Strategic & tactical information about the active attackers in the field
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Compare attackers
Automatic comparison of who attackers target in the sector
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Assess attack frequency
Assesses the frequency of attacks based on attackers’ operational capacity
RedTeam Simulations
Our algorithm simulates tens – sometimes hundreds – of thousands of attacks and generates security recommendations, scaling what a real RedTeam would do.
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1,000+ Simulations
Thousands of simulations for any given risk scenario
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Attack vs. defence
Simulated attack vs. defence confrontations
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Patented approach
Patented simulation of attackers spreading within your business assets that causes losses along the way
Bayesian Modelling
Our Artificial Intelligence uses a Bayesian approach that leverages historical data and business expertise to automatically estimate the financial impact of cyber attacks.
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Shared hypotheses
Our algorithm shares the set of hypotheses used
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Universally applicable
Every loss type – whether operational, reputational, or legal – can be traced back to the customisable hypothesis
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Calibrate the model
Our Bayesian approach can be fine tuned to learn from your own data or expertise
Professional Services
With you at every step, so you can make the right decisions
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Expert knowledge
A team of experts in cyber risk and cyber insurance
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Ongoing assistance
Ongoing assistance with the use of our platform
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Transformative approach
A catalyst for automation and autonomy in risk management
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Advocacy support
Support to help advocate for cyber risk management at the hightest level
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