Hai Insight Agent enhances every vulnerability report with additional context to speed up validation, clarify impact, and guide remediation. It provides automated assessments, visual summaries, and links to similar reports so you can act quickly, consistently, and confidently.

Embedded directly within each vulnerability report, you’ll see a dedicated Insight Agent section at the top of the report view. Simply click Generate Insights.

You can also explore with Hai directly in the report to dig deeper, clarify technical details, or get guided next steps, helping you make faster, more informed decisions.

Hai acts as a security analyst, reviewing each vulnerability report as it arrives and synthesizing findings into actionable intelligence. Rather than simply extracting keywords or scanning for known patterns, Hai performs deep research that mirrors how a human reviewer would triage a report:

Hai presents its analysis with a summary, structured report assessment, a set of similar resolved reports, a visual attack scenario diagram, and severity and bounty suggestions. Use these outputs to accelerate triage, validate severity and impact, and guide remediation.

The sections below explain what each component includes and how to apply it effectively.

Hai starts by generating a high-level summary of the vulnerability. It pulls from all report activity and discussion to provide a complete, easy-to-share view of what was found, steps to reproduce, and why it matters.

Hai provides a structured summary of the vulnerability, including how it was discovered, what risk it poses, and which areas are likely impacted (e.g., data exposure, privilege escalation). This helps streamline triage and support consistent severity classification.

The Confidence Score helps you evaluate the reliability of each assessment. This score reflects how certain Hai is about the summary and severity suggestion, based on available data and alignment with historical patterns.

This adds transparency to the reasoning process and helps you make informed decisions about when to trust, question, or further investigate the output.

Hai surfaces previously resolved reports that share characteristics with the current submission. To improve transparency, it also explains why a report is considered similar, highlighting both the shared traits and key differences.

This helps you:

This level of clarity supports better triage decisions and reflects one of Hai’s most user-appreciated features, eliminating the manual effort of cross-referencing and comparing similar reports yourself.

Hai generates a visual breakdown of how the vulnerability could be exploited, from its initial condition to its potential impact. This helps security teams quickly understand the exploit path and determine the next steps.

Customers often share this diagram directly with their development teams, who find it more accessible and actionable than raw report text. The structured, UML-style format removes the need for deep security context and makes it easier for engineers to understand the issue, validate risk, and align on remediation.

Use the attack scenario diagram to:

Hai analyzes the report content to independently assess severity, then compares its suggested rating with the current one. It highlights any differences and provides a detailed breakdown of the inputs behind its recommendation. Hai respects the severity settings of the program where the report was submitted.

Hai concludes with a suggested bounty amount, grounded in the program’s bounty table and informed by precedent from similar reports. It includes a clear rationale, tying the recommendation to the identified severity and helping teams make consistent, transparent reward decisions.

Streamline triage and reduce uncertainty with clear, consistent analysis as soon as a report is submitted. Instead of starting from a blank slate, you get an instant foundation, summarized findings, severity guidance, visual attack flow, and historical context all tailored to the report at hand.

This lets you: