CASHING IN tools , techniques and procedures ( TTP ) sweet spot , meaning it ’ s easy for them to execute upon their objective ?
Making data-driven decisions
These are elements that the enterprise has absolutely no control over but can get visibility into to get ahead of the response process if answers to any of these questions is ‘ yes ’. Or they can be used as critical inputs into a decision process to stop current mitigation efforts , and pivot to other issues that are potentially more likely to impact the organisation . This is where using threat intelligence in conjunction with established vulnerability management practices can help organisations identify , prioritise and remediate vulnerabilities that have a higher risk profile or have the potential to have a greater impact on an organisation .
To aid practitioners in vulnerability triage , it is desirable to have a list of vulnerability identifiers , presented in a prioritised list for mitigation . With the likelihood of exploitation being a key multiplier within the risk equation , it ’ s critical to have accurate , up to date and verifiable information that can help the organisation understand the details of likelihood . 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 data-driven 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 . �
Often vulnerability management solutions struggle to support SOC teams effectively , meaning they face an uphill battle with fragmented tools and data silos .
By combining information available from a variety of public and private , internal and external sources , prioritisation lists can be improved for greater accuracy . Automated assessment and scoring of a vulnerability likelihood is only now possible across the many disparate data sources by consolidating data into a single record of truth about what is known about the vulnerability .
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
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