Black Hat Stories | The Black Hat Experience

Taylor Margot shares why Black Hat is more than an event. From the breathtaking scale of the cybersecurity community to the perspectives gained along the way, discover what makes the Black Hat experience truly unforgettable.

source https://www.youtube.com/shorts/Mp4tU7qqJpI

Black Hat Stories | Taylor Margot

Taylor shares why the excitement, connections, and conversations at Black Hat create an experience that’s difficult to replicate.

source https://www.youtube.com/shorts/XLgStBd41bA

Black Hat Stories | Taylor Margot, Lytical Ventures

Black Hat is where the cybersecurity community comes together. In this episode, Taylor shares how the event has evolved, the impact of the Innovators & Investors Summit, and why there’s no better place for startups to learn from industry leaders, build meaningful connections, and gain invaluable exposure.

source https://www.youtube.com/watch?v=7f9T16YYOj4

Black Hat Stories | Connections That Last

Lynn shares how Black Hat brings the cybersecurity community together year after year, creating lasting connections and bringing the community to life.

source https://www.youtube.com/shorts/FGSAf8vzCB8

Black Hat Stories | Tony Lee, Black Hat Review Board Member and VP of Operations at HackerOne

In this episode of Black Hat Stories, Tony reflects on his journey from attendee and trainer to presenter and Review Board member. He shares why Black Hat continues to grow, the energy that makes Arsenal a must-see destination, and how the community creates opportunities for learning, collaboration, and lasting connections. From showcasing innovative tools to meeting peers at every stage of their careers, Tony explains why Black Hat remains one of the most valuable gathering places in cybersecurity.

source https://www.youtube.com/watch?v=wwk4SGLGcfY

Black Hat Stories | Executive Director at Women in Cybersecurity (WiCyS)

Lynn shares why Black Hat is a valuable place to learn, connect, and prepare for the future of cybersecurity.

source https://www.youtube.com/shorts/ar0xeVxtER0

Black Hat USA 2026 | Applying Information Retrieval to Vulnerability Research

You bought an IoT device, extracted the firmware, and dropped the main runtime binary into your favorite reverse engineering tool. Now you're staring at thousands of decompiled functions with no source, no symbols, and no obvious place to start bug hunting. How might an LLM help find signal in the noise, even before you've clearly established what "signal" looks like? The SiftRank algorithm reframes this uncertainty as an information retrieval problem. Instead of treating vulnerability discovery as an open-ended task for an interactive agent, SiftRank uses an LLM to repeatedly rank small batches of decompiled functions by their likelihood of containing a target vulnerability class. It aggregates each function's rank distribution, refines the candidate set across multiple rounds, and returns a fully ranked dataset with a calibrated top-k cutoff for focused analyst review. On BinPool, a real-world binary vulnerability dataset containing 95 CVEs across 28 CWE classes, SiftRank achieves 2.26x greater precision in binary vulnerability discovery compared to zero-shot classification. With SiftRank, the relatively small GPT-5 Nano outperforms its much larger sibling, GPT-5, by 32% in precision at a model tier that is 25x cheaper per input token. I'll demonstrate this algorithm on firmware extracted from a commercial network power controller. SiftRank processed 5,710 decompiled functions and surfaced a hidden diagnostic endpoint at rank #1, allowing RCE and leading directly to CVE-2026-41446. This case study tangibly reflects the same pattern that the benchmark shows broadly, which is that small well-harnessed models can behave like serious vulnerability research tools. This Briefing is a call for hackers to keep the hands-on imperative alive in the age of generative AI. Instead of surrendering the whole discovery process to an agent, we can get our hands dirty, decompose the problem, and invoke LLMs to make bounded, inspectable judgments as a basic research primitive. Caleb Gross | Security Researcher https://ift.tt/8ae3hfA

source https://www.youtube.com/watch?v=1ADD60wyrbg

Black Hat Stories | Ryan & Isabella Barnett

From conducting research together to presenting at Black Hat, discover how collaboration and shared experiences make the conference memorable.

source https://www.youtube.com/shorts/uQhAv68GjGE

Black Hat Stories | The Black Hat Experience

From new connections to meaningful conversations, discover what makes the Black Hat experience unique.

source https://www.youtube.com/shorts/nzUs5QhYExY

Ryan & Isabella Barnett, Akamai | Black Hat Stories

Black Hat is where the #cybersecurity community comes together to share ideas, tackle challenges, and learn from one another. Hear from Ryan and Izzy as they share their #BlackHat experience.

source https://www.youtube.com/shorts/lCbjqj9KIQM

Black Hat Stories | Ryan & Isabella Barnett, Akamai

Ryan and Isabella Barnett from Akamai talk about how Black Hat's cutting-edge research helps them stay one step ahead.

source https://www.youtube.com/shorts/p-XAEc3Hc2s