Cyber threats are growing in sophistication and volume, making it increasingly difficult to prioritize vulnerabilities, maintain compliance, and ensure the safety of digital assets.
The traditional methods of handling these risks are no longer sufficient – AI Insights is a feature designed to provide targeted and actionable intelligence, empowering security staff to make informed, strategic decisions faster than ever.
AI Insights takes non-identifiable customer metadata, combines it with predefined questions, instructions and guardrails and feeds it into an AI model that produces in-depth, actionable security insights. This technique lets Edgescan leverage your specific data to generate tailored Insights, offering a unique perspective on your organization’s security posture.
Here’s a look at some of the categories of Insight that we can produce:
Anomaly Detection: By analyzing patterns in your data, AI Insights can flag deviations from typical behavior – for example previously repaired vulnerabilities resurfacing or assets becoming blocked due to configuration/licencing issues.
Trend Identification: Looking beyond singular events, we can identify long-term trends in your security data—whether it’s the rise of new vulnerability types or shifting patterns in attempted attacks.
Categorization and Prioritization: The ability to classify data into distinct categories (for example, using a prioritization methodology like Stakeholder-Specific Vulnerability Categorization (SSVC)) and prioritize based on criticality. This can allow organizations to tackle the most dangerous threats first.
Natural Language Summaries: Often, cybersecurity insights are filled with dense technical jargon. AI Insights can distill these details into natural language, making complex security data comprehensible to both technical teams and decision-makers.
Predictive Capabilities: Leveraging historical data, AI Insights can predict the time it typically takes to remediate certain vulnerabilities or identify cyclical issues, such as configurations that frequently lead to expired credentials or outdated software.
Checking for Exploit Code: The platform can go beyond just identifying vulnerabilities – by assessing whether known exploits are available in the wild, adding a critical extra layer of confidence in you remediation approach.
Outlier Detection: By filtering through mountains of data, AI Insights can pinpoint outlying data points that may represent either a significant security risk or an opportunity for optimization. An example here would be where one of a set of assets that previously had a similar attack surface starts to deviate from the others.
Recommendations: Given your organizational security weak spots, Insights can make some recommendations – areas to target for training in your team or areas of concern in terms of certification compliance for example.
Strategic Guidance: AI Insights can bridge the gap between technical findings and high-level strategies by converting detailed security data into actionable steps thus aligning technical actions with business goals.
AI Insights is more than just a feature – it’s a force multiplier for modern cybersecurity teams. They help organizations to stay ahead of the curve. As the digital landscape continues to evolve, so too must the strategies we use to protect our organizations. AI Insights is the next step in proactive, intelligent threat management.
