Meet Above at
Black Hat USA 2026

Behavioral intelligence for insider risk in the agentic era.

Booth 5332 | August 4–6 | Las Vegas

Book a Meeting

Stop By Booth 5332

Why visit Above?

See Behavioral Intelligence Live

Understand how security teams investigate intent, not just activity.

Explore Agentic AI Risk

Learn how AI agents create new insider risk challenges across the business.

Meet the Team

Talk directly with the people building the future of insider risk detection.

Play Chess. Win Gear.

Take a break, play a game, and enter our portable monitor giveaway.

Why real-time

Meet the team

Meet Above at Black Hat. Stop by Booth 5332 to meet the team behind Above Security.

Aviv Nahum

CEO

Amir Boldo

CPTO

Tricia Howard

Head of Marketing

Amit Slutzky

Director of Product

Kevin Alparone

Solutions Engineer

Rook

Griffin

Speaking Sessions

Learn from our leadership, researchers, and Phil Venables (Ex-CISO Goldman Sachs and Google Cloud) on how to prepare for the agentic era.

Booth 8552 | Las Vegas

August 4–6

Speaker:

Aviv Nahum

Speaker:

Amir Boldo

Aviv Nahum

CEO

Amir Boldo

CPTO

Speaking Sessions

Ready to learn? Our experts will be speaking on how to maneuver the agentic era. We have talks for every level - whether you have a sophisticated insider risk program or are making the opening move, we're here for you.

Booth 5332

August 4–6

Phil Venables

Wednesday

1:30 - 1:50

The AI Trust Gap: Governing Humans and AI Agents in the Enterprise

How insider risk programs mature: from DLP, to behavioral analytics, to governing AI agents.

Most insider risk programs start at the floor with DLP, watching for files as they leave. But data loss is the symptom, not the risk. Phil Venables walks the insider risk maturity curve: from rule-based DLP, to behavioral analytics that read intent instead of keywords, to surfacing the shadow business processes and agentic AI workflows now moving sensitive data faster than any human. The higher you climb, the same question repeats for people and their AI agents alike: not what left, but why. Closing the AI trust gap starts with governing both through one behavioral lens.