AI

Forward-Deployed Engineers: Why Businesses Need More than the Basics

Eamonn O’Neill

Deloitte

GenAI in M&A: From Strategic Pilots to Organizational Impact

Pentera CEO Amitai Ratzon on AI-Native Offensive Security

At Black Hat 2026, Pentera CEO Amitai Ratzon discussed how artificial intelligence is reshaping offensive security, from AI-native attack technology to agent-driven security operations.

Incorta's Osama Elkady: Building the Data Foundation for AI Agents

As enterprises race to deploy AI agents, Incorta co-founder and CEO Osama Elkady argues that the real challenge is not simply choosing a more powerful AI model—it is building the data foundation that allows agents to work reliably.

Orca Security’s Gil Geron: AI and the Future of Cloud Security

A perfectly secure app can still expose your entire Salesforce instance, depending on what it's connected to.

OneTrust’s Blake Brannon: How to Govern AI Agents at Enterprise Scale

Guardrails are just instructions an agent might ignore—enterprises need controls that can actually block it.

Meenakshi Dalal: How Tech Executives Can Communicate With More Influence

Expertise and passion aren't enough—even brilliant leaders lose rooms when ideas aren't delivered well.

Dell CSO John Scimone: How AI Transforms Cyber Defense

Defenders currently know more about their own systems than any attacker—but that edge won't last.

Zywave's Doug Marquis: Insurance and the AI-Powered "Super Broker"

An LLM that can't tell Montana from California can turn one confident answer into a legal problem.

Saviynt's Jim Routh: Rebuilding Identity Security for AI Agents

Thirty years of identity architecture built for humans is now obsolete for governing thousands of agents.

Everpure's Chadd Kenney: Data Primacy, AI Agents, and Autonomous Infrastructure

An agent that only sees your CRM can approve a 'profitable' order it has no way of actually verifying.

Integrated Quantum Technologies' Jeremy Samuelson: AI Security and Quantum Threats

AI teams chase accuracy, security teams chase firewalls—neither fully understands AI's new attack surface.

GitLab's Manav Khurana: AI Agents, Orbit, and the Future of Coding

Some customer codebases grew 5x in a year—speed that's now outpacing teams' ability to keep it reliable.

Magnific CEO Joaquin Cuenca: AI, Creativity, and the Rise of the No-Collar Economy

One-shot AI video generation gets you 80% there—the rest still needs a human steering the wheel.

Pentera CEO Amitai Ratzon on Cybersecurity: Pen Testing to AI-Driven Defense

Attackers only need to succeed once; defenders have to succeed every single time—AI just raises the stakes.

HiddenLayer CEO Chris Sestito: Security Strategies to Manage Agentic AI

One compromised agent with broad access can now unlock reach across an entire organization's systems.

Relyance AI CEO Abhi Sharma on AI-Native Data Security

Non-deterministic AI breaks every security assumption built for systems that behaved exactly as expected.

Sage CTO Aaron Harris: AI Is Reshaping the CFO Role

CFOs built careers on precision—now they're being asked to trust systems that are inherently probabilistic.

Okta's Stephen McDermid: Security Culture Is a Never-Ending Goal

AI agents need their own identities—including a verifiable kill switch when something goes wrong.

Cyborg CEO Nicolas DuPont on Securing the Vector Database

Centralizing your most sensitive data into one vector database quietly builds an attacker's dream target.

Union.ai CEO Ketan Umare: AI Changes the Software Stack

Most AI workflow failures aren't the model's fault—they're memory limits, bad GPUs, or flaky networks.

Hitachi Vantara CPO Octavian Tanase: Streamlined Data Drives Advanced AI

Most companies aren't short on AI enthusiasm—they're stuck untangling siloed, ungoverned data.

Freepik CPO Omar Pera on AI, Content Creators and Creativity

AI isn't magic—the goal is to make magicians, not to replace the last mile of human judgment.

Vinci CEO Hardik Kabaria: How AI and Physics Reinvents Hardware Design

In hardware, a hallucination means a product overheats or fails—so this AI can't afford to guess.

ManageEngine CEO Rajesh Ganesan: AI Reshapes the Enterprise, But Guardrails Needed

A weekend of vibe coding gets you a 0.01 version—real enterprise software takes a lot more than that.

MediaMint's Rajeev Butani on AI Agents and Services as Software

Agentic AI isn't judged by the tool it hands you—it's judged by whether the outcome actually happened.

RSA CEO Greg Nelson on Key Trends in Cybersecurity

Attackers don't break in anymore—they log in, using stolen credentials as the front door.

OpenText's Savinay Berry: Context Engineering Drives Enterprise AI

The open internet holds 15 zettabytes of data; enterprises are sitting on 200—mostly untouched by AI.

AI in 2026: Five Enterprise Leaders on AI's Future

Five execs agree: the AI honeymoon is over, and 2026 will reward integration over hype.

Jentic's Michael Cordner: Prepping The Enterprise for Agentic AI

APIs were built for human developers, not AI agents—that mismatch is quietly killing enterprise ROI.

InfluxData CEO Evan Kaplan: Time Series Data Drives the Enterprise

Every sensor, physical or virtual, speaks time series—making it the native language of AI-era infrastructure.

Celonis's Dan Brown on How AI Agents Transform Business

A CRM's version of an order rarely matches the ERP's—AI agents inherit that confusion unless it's fixed.

Celonis's Wil van der Aalst on Process Mining and AI

A CRM's version of an order rarely matches the ERP's—AI agents inherit that confusion unless it's fixed.

Cloudera's Manasi Vartak: The Evolution of Enterprise Generative AI

Generative AI is like a two-year-old kitten—full of promise, still learning where not to scratch.

Cloudera's Jason Mills on Enterprise AI: Hybrid Choice, Use Cases, Cost Discipline

High AI pilot 'failure' rates aren't bad news—they're enterprises learning what actually sticks.

Workato's Bhaskar Roy on Agentic AI Trends and ROI

RPA scripts each step; agentic AI just aims for the KPI and figures out how to get there.

AMD's Madhu Rangarajan on Modernizing Infrastructure for AI

Before debating CPU vs. GPU, most enterprises could free up 70% of their space and power just by upgrading.

D-Wave's Murray Thom on the Future of Quantum Computing

A calculation costing a year's worth of global electricity on a supercomputer ran for under a dollar.

SiFive's Krste Asanovic: New RISC-V Designs and AI Innovation

From EV safety systems to NASA spacecraft, open RISC-V cores are quietly running critical hardware.

Salesforce's Marla Hay on AI and Model Context Protocol (MCP)

Think of MCP as a USB-C port for APIs—and treat every new connection like a new attack surface.

Automation Anywhere CEO Mihir Shukla on the Future of Agentic AI

One customer saved $120 million in three weeks—proof agentic AI's ROI is already real.

Commvault's Vidya Shankaran on Recovering from a Cyberattack

Real resilience means knowing your 'minimum viable business' before an attack, not after.

HP's Faisal Masud: Can AI Help IT Staffers?

AI resolves the issue before you even file the ticket—that shift is what changes IT's cost curve.

GitLab's Emilio Salvador on How AI Agents Are Reshaping Software Development

AI agents won't replace developers, but they're already reshaping how dev teams are structured.

SAP's Bharat Sandhu on Gen AI Coding in the Enterprise

Writing code is no longer the differentiator—ideas and systems thinking are what still matter.

Exabeam's Steve Wilson on Cybersecurity and AI Agents

Managing AI security agents is a lot like managing very fast, very junior employees.

Evan Kirstel on Social Media for Enterprise B2B Tech

Posts from real employees consistently outperform polished corporate content—by a wide margin.

Wipro's Brian Rizman on a New Report: AI and Cybersecurity

70% call AI security a shared responsibility, yet only 13% have a dedicated team for it.

Indicium's Daniel Avancini on Using Your Own Data in AI Deployments

Blocking AI to protect data backfires—it just pushes employees toward riskier, unapproved tools.

Nutanix's Lee Caswell on GPT-in-a-Box, LLMs, and Managing Data

A model trained on your data can be more sensitive than the data itself—and harder to protect.

Broadcom's Robin Grindley on the Tomahawk Ultra Switch Chip

Built for HPC before ChatGPT existed, this chip turned out to be exactly what AI networking needed.

QUICK TAKES

Incorta's Osama Elkady: AI Needs a Deterministic Engine

Komprise's Krishna Subramanian: an AI model for every task

Extreme Networks' Nabil Bukhari: how AI democratizes technology

Cloudera's Venkat Rajaji: advantages of open source AI

Snowflake's Christian Kleinerman: AI and the speed of data access

David Linthicum: LLM trends

Incorta's Osama Elkady: AI Needs a Deterministic Engine

Komprise's Krishna Subramanian: an AI model for every task

Extreme Networks' Nabil Bukhari: how AI democratizes technology

Cloudera's Venkat Rajaji: advantages of open source AI

Snowflake's Christian Kleinerman: AI and the speed of data access

David Linthicum: LLM trends