AI-Powered Attack Surface Management & Risk Quantification Platform for the C-Suite
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Our cybersecurity platform uses automated penetration testing methods and tools to detect weaknesses, misconfigurations, and vulnerabilities within your IT systems and networks.
We are continuously monitoring your attack surface to identify potential threats and vulnerabilities.
Our AI-powered platform provides customized integrations based on your needs, using deep learning and advanced machine learning algorithms.
Our platform utilizes AI to detect threats, categorize them, and prioritize them based on severity and impact.
Receive immediate actionable information about potential risks
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The process of analyzing the security misconfigurations, weaknesses and vulnerabilities by using AI for scoring the severity, likelihood and business impact of security weakness or vulnerability.
A security event of higher priority that requires attention for the action in a short-term period.
The process of translating the number and report data into useful recommendations and guidelines for the managers and C-Suite.
The technical, human, and informational assets of the partner companies are in any type of business relations that contribute to creating a business value of the company.
for technical people
for non-technical people
Our reportings are also separated for tech experts and non technical people.
Salience discovers and monitors internet assets for potential vulnerabilities that can be exploited by attackers.
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Salience evaluates the potential financial impact of discovered cyber weaknesses and threats based on Open FAIR model.
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The Salience platform reduced SaaS company's cyber incidents by 30% through threat detection, alerts, vulnerability identification, and recommendations for better security.
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Salience provided a bank with automated pentesting, enhancing threat detection, reducing cybersecurity incidents, increasing productivity, and boosting customer confidence in the bank's services.
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Salience improved a governmental agency's cyber resilience and risk management through attack surface management, risk quantification, and continuous monitoring.
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