Uploaded May 2026 | Updated September 2026, 4 hours ago
Khushali Dalal (VulnCheck, US)
The rise of large language models has fundamentally changed how vulnerability reports are written. As AI dramatically increases both the volume and perceived credibility of vulnerability submissions. PSIRT and vulnerability management teams are seeing a surge of submissions that are partially or entirely AI-generated—often polished, technically plausible, and sometimes completely wrong. In this interactive session, attendees will explore how AI-generated vulnerability reports are reshaping vulnerability intake, triage, and validation. Participants will be presented with a series of real-world–inspired vulnerability reports and asked to determine whether each report was written by a human researcher, generated by AI, or produced through a mix of both. As the session progresses, new context will be revealed: missing proof-of-concept details, contradictory technical claims, hallucinated CVEs, reused templates, and subtle signals that affect credibility and prioritization. The audience will vote and debate in real time, followed by facilitated analysis explaining how PSIRT teams evaluate signal versus noise when AI is in the loop. The challenge is no longer identifying AI use, but preserving signal, accuracy, and response quality as AI becomes embedded in researcher workflows. Rather than framing AI as purely a problem or a solution, this talk focuses on practical detection, validation strategies, and process adaptations that security teams can use today. Unlike talks focused on AI detection tooling or automation alone, this session examines real PSIRT decision-making failures and corrections observed in live vulnerability response programs.
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Khushali Dalal, a Product Security Engineer at Juniper Networks with deep expertise in vulnerability assessment, CVSS scoring, and secure product development. With certifications including CCNA, CompTIA Security+, and Juniper’s own credentials, she brings a strong technical foundation in networking and cybersecurity. Khushali is passionate about advancing product security at scale and bridging the gap between engineering and risk management. As a chair of Women of First SIG, she is very much passionate about spreading awareness and supporting women in cybersecurity.
Khushali began her journey at Juniper in the infrastructure Verizon team as an Associate Systems Engineer(SE), where she supported and implemented Juniper lab in Verizon PoC, with a focus on LAN and WLAN design. Then she moved into the Verizon channel team as a Partner SE for Verizon’s Managed WLAN solutions. And in her last role she established an early-in-career program to support and build relationships between the Juniper SE and Verizon SA community.
Educational background, Khushali was born and raised in a small town of India- Ahmedabad, Gujarat. She has a bachelor’s in electrical and Telecommunication Engineering from India and a master’s in cyber security from University of Maryland College Park.
Khushali Dalal (VulnCheck, US)
The rise of large language models has fundamentally changed how vulnerability reports are written. As AI dramatically increases both the volume and perceived credibility of vulnerability submissions. PSIRT and vulnerability management teams are seeing a surge of submissions that are partially or entirely AI-generated—often polished, technically plausible, and sometimes completely wrong. In this interactive session, attendees will explore how AI-generated vulnerability reports are reshaping vulnerability intake, triage, and validation. Participants will be presented with a series of real-world–inspired vulnerability reports and asked to determine whether each report was written by a human researcher, generated by AI, or produced through a mix of both. As the session progresses, new context will be revealed: missing proof-of-concept details, contradictory technical claims, hallucinated CVEs, reused templates, and subtle signals that affect credibility and prioritization. The audience will vote and debate in real time, followed by facilitated analysis explaining how PSIRT teams evaluate signal versus noise when AI is in the loop. The challenge is no longer identifying AI use, but preserving signal, accuracy, and response quality as AI becomes embedded in researcher workflows. Rather than framing AI as purely a problem or a solution, this talk focuses on practical detection, validation strategies, and process adaptations that security teams can use today. Unlike talks focused on AI detection tooling or automation alone, this session examines real PSIRT decision-making failures and corrections observed in live vulnerability response programs.
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Khushali Dalal, a Product Security Engineer at Juniper Networks with deep expertise in vulnerability assessment, CVSS scoring, and secure product development. With certifications including CCNA, CompTIA Security+, and Juniper’s own credentials, she brings a strong technical foundation in networking and cybersecurity. Khushali is passionate about advancing product security at scale and bridging the gap between engineering and risk management. As a chair of Women of First SIG, she is very much passionate about spreading awareness and supporting women in cybersecurity.
Khushali began her journey at Juniper in the infrastructure Verizon team as an Associate Systems Engineer(SE), where she supported and implemented Juniper lab in Verizon PoC, with a focus on LAN and WLAN design. Then she moved into the Verizon channel team as a Partner SE for Verizon’s Managed WLAN solutions. And in her last role she established an early-in-career program to support and build relationships between the Juniper SE and Verizon SA community.
Educational background, Khushali was born and raised in a small town of India- Ahmedabad, Gujarat. She has a bachelor’s in electrical and Telecommunication Engineering from India and a master’s in cyber security from University of Maryland College Park.
