PREDICTIVE intelligence
Once a vulnerability hits a threshold value , or key elements of context are identified , automated actions can be initiated . The often-missed element of context about the vulnerability is the likelihood of exploitation .
Moving away from legacy patching approaches
This helps move vulnerability management from its legacy (‘ must patch everything ’) approach to a business focused risk-based approach and allows security teams to become part of the business decision-making process . Using threat intelligence from internal and external sources , vulnerability management teams can identify , validate and orchestrate the entire vulnerability management lifecycle of key assets that are at risk and quickly address and remediate through automation and collaboration .
In today ’ s ever-evolving threat landscape organisations need to adopt a structured and efficient risk-based process for managing vulnerabilities to reduce the risk of security breaches and improve overall security posture . A datadriven threat intelligence approach is essential in this regard , as it enables organisations to identify and prioritise vulnerabilities accurately , allocate resources effectively and automate processes with high fidelity data .
The modern enterprise has a new wealth of internal and external data to make more data-informed choices .
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