Martijn Russchen
Lead Product Manager

How to Accelerate Vulnerability Remediation with Hai

Accelerate vulnerability remediation

Navigating vulnerability remediation can be daunting. Each vulnerability presents a unique challenge, requiring a strategy that aligns with specific business requirements. This often leads to delays and inefficiencies, leaving security gaps that could be exploited. 

Enter Hai, HackerOne's AI co-pilot, designed to streamline this process and accelerate remediation efforts.

The Challenge of Vulnerability Remediation

When a vulnerability is identified, teams must determine the best approach to fixing it. This involves analyzing the vulnerability's impact, prioritizing it based on severity, and devising an appropriate remediation plan. The process is complex, as each step must consider the organization's unique context, including its technology stack, business priorities, and risk appetite. 

Additionally, teams often struggle with the manual repetition of tasks and the lack of customized solutions that align with specific domain knowledge and operational needs. This complexity often results in slow remediation cycles, increasing the exposure window to potential threats.

Personalized Remediation Advice With Hai

Hai accelerates this process by providing personalized remediation advice. By analyzing vulnerabilities, Hai offers tailored recommendations that help teams determine the most effective approach to addressing security issues. This AI-driven guidance ensures that remediation strategies are effective and aligned with the organization's specific needs.

Hai summarizing a report

For instance, when a vulnerability is detected, Hai can analyze its characteristics and suggest the best remediation techniques. This might include specific code changes, configuration adjustments, or other security measures. Teams can go deeper on remediation advice by teaching Hai more about their tech stack and processes, ensuring that insights align with each unique environment.

Contextualizing Vulnerability Reports

One of the key features of Hai is its ability to optimize vulnerability reports. Clear and concise reporting is crucial for effective remediation, ensuring all stakeholders understand the issue at hand. Hai can assist in this area by suggesting improvements to vulnerability reports.

Different tasks Hai can do

For example, Hai can propose a more descriptive title for the vulnerability, ensuring it accurately reflects the issue's nature and severity. Additionally, Hai can update CVSS (Common Vulnerability Scoring System) ratings, accurately assessing the impact of the vulnerability. This helps prioritize remediation by highlighting the most critical issues.

Hai can also recommend the appropriate vulnerability class from the CWE (Common Weakness Enumeration) database. By categorizing vulnerabilities accurately, Hai aids in understanding the root cause and potential impact, facilitating more effective remediation strategies. It can also structure vulnerability reports by extracting common parameters such as endpoint, exploit URL, and payload, ensuring that reports are comprehensive and standardized.

Custom Instructions and Hai Plays

Hai Plays offer the ability to create personalized plays for repetitive tasks, providing custom instructions that teach Hai your organization's domain knowledge. This customization ensures that Hai's responses and recommendations are tailored to your operational needs. Additionally, teams can maintain custom plays, turning Hai into a hivemind of valuable information specific to the organization. This continuously growing repository ensures that Hai becomes more effective over time, drawing from a rich contextual data and insights pool.

Hai plays

Start Speeding Up Remediation With Hai

Hai is transforming the way teams approach vulnerability remediation. By providing personalized remediation advice, enhancing vulnerability reports, and offering custom instructions, Hai addresses the key challenges that often slow down the remediation process. Get started with Hai today. 

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