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

As enterprises move beyond AI prototypes and begin deploying AI agents into real business processes, governance is becoming a critical challenge.

Technology executives often possess extraordinary expertise and genuine passion for their work, yet those strengths do not automatically translate into audience engagement or influence.

Artificial intelligence is rapidly changing the balance of power in cybersecurity, giving both attackers and defenders unprecedented speed and sophistication.

Doug Marquis, Chief Technology Officer at Zywave, says AI is moving quickly from experimentation to production in insurance — but the real challenge is not simply connecting a large language model to a workflow. In a highly regulated industry like insurance, AI systems need domain-specific intelligence, observability, governance, and the ability to explain how they reached an answer.

Saviynt Chief Trust Officer Jim Routh explains why traditional identity governance architectures are becoming obsolete, how organizations should build AI governance around specific business use cases, and what enterprises must do to securely manage autonomous AI agents as they become a permanent part of the workforce.

At Pure Accelerate 2026 in Las Vegas, Everpure Vice President of Product Management Chadd Kenney outlined the company's evolution from a storage provider into a broader data management platform designed for the AI era.

In this interview, Jeremy Samuelson, Executive Vice President of AI and Innovation at Integrated Quantum Technologies, explains why most AI initiatives ultimately succeed or fail based on data strategy, explores the growing security risks surrounding AI systems, and introduces Veil, the company's platform designed to protect sensitive information without sacrificing model accuracy.

AI is dramatically increasing developer productivity, but many enterprises are struggling to translate those gains into measurable business outcomes. In a TechVoices interview, GitLab Chief Product and Marketing Officer Manav Khurana explained that AI-assisted coding is creating unprecedented speed, but also introducing new issues around reliability, security, governance, infrastructure scale, and cost control.

Magnific CEO Joaquin Cuenca believes artificial intelligence is ushering in a new era of creativity, one in which AI serves as a collaborator rather than a replacement for human creators.

Pentera CEO Amitai Ratzon outlined a cybersecurity landscape being rapidly reshaped by AI, where both attackers and defenders increasingly rely on machine-speed operations. He emphasized that while AI does not inherently advantage attackers over defenders, it amplifies the long-standing asymmetry in cybersecurity—attackers only need to succeed once, while defenders must succeed every time.

At the RSA Security Conference in San Francisco, HiddenLayer CEO and co-founder Chris "Tito" Sestito outlined a rapidly shifting cybersecurity landscape driven by the rise of agentic AI systems.

At the RSA Conference in San Francisco, Relyance AI CEO and co-founder Abhi Sharma outlined a fundamental shift underway in enterprise technology: the transition from deterministic software systems to non-deterministic, AI-driven environments.

At a Sage event in San Francisco, CTO Aaron Harris outlined how AI is reshaping financial accounting software, creating both opportunity and tension for CFOs. As AI systems move from task automation to full workflow orchestration, finance leaders are being forced to reconcile their traditional role as stewards of precision and trust with technologies that are inherently probabilistic and evolving.

At the RSA Conference in San Francisco, Stephen McDermid, Chief Security Officer, EMEA region, for Okta, outlines how the convergence of regulatory pressure, evolving cyber threats, and the rise of agentic AI is reshaping enterprise security.

At the NVIDIA GTC event in San Jose, Cyborg CEO Nico DuPont outlines a critical but under-appreciated risk in enterprise AI: the vulnerability of vector databases.

At Nvidia GTC, Union.ai CEO and co-founder Ketan Umare makes the case that AI is forcing a fundamental rethink of how software is built, deployed, and maintained. He argues that traditional software stacks were designed for deterministic systems, while AI introduces non-deterministic behavior, rapid experimentation, and infrastructure instability that can easily derail production.

At NVIDIA GTC, Octavian Tanase, Chief Product Officer at Hitachi Vantara, described enterprise AI as a market moving rapidly from experimentation toward real-world deployment, but still constrained by familiar obstacles around data silos, governance, security, and operational complexity.

In this TechVoices interview, Freepik Chief Product Officer Omar Pera explains how artificial intelligence is reshaping creative work from static images to fully integrated multimedia workflows. Rather than viewing AI as a replacement for human creativity, Pera describes a shift toward empowering professionals with tools that combine generative AI, traditional stock assets, and advanced editing capabilities into a unified creative environment.

AI startup Vinci is using artificial intelligence to dramatically reshape one of the most exacting domains of engineering: physics-based hardware design. In this TechVoices interview, co-founder and CEO Hardik Kabaria explains how the company is building a "physics reasoning layer" that applies AI not to language or graphics, but to deterministic physical laws governing heat, stress, and material behavior.

In my wide-ranging conversation with Rajesh Ganesan, CEO of ManageEngine, he shares a grounded, long-term view of enterprise IT at a moment of rapid disruption. He explains why AI is already delivering real business value—but only if paired with strong guardrails around cybersecurity, compliance, and ethics.

In this TechVoices interview from CES 2026, MediaMint CEO Rajeev Butani explains how the company has evolved from a traditional services firm into an agentic, AI-powered operations partner for enterprises.

In my conversation with Greg Nelson, CEO of cybersecurity vendor RSA, he outlined core trends in cybersecurity as enterprises enter an era defined by identity-centric security, passwordless authentication, and challenges around AI deployments.

In this episode of Tech Voices, I spoke with OpenText Executive Vice President and Chief Product and Technology Officer Savinay Berry joins host James Maguire t

Predicting the future of AI is a risky sport—especially when the industry seems to reinvent itself every 90 days. But in this TechVoices panel discussion, I spoke with five enterprise leaders who understand the AI market as well as anyone in the rapidly evolving sector.

In my conversation with Jentic CTO and Co-Founder Michael Cordner, recorded at AWS re:Invent, he provided a clear and unusually candid look at the practical realities of deploying agentic AI inside the enterprise.

In my wide wide-ranging conversation with InfluxData CEO Evan Kaplan at AWS re:Invent, he explained why time series data has become foundational for the modern

Among the many interesting points from my interview with Dan Brown, Chief Product Officer at Celonis, was his forward-looking view of how agentic AI systems will reshape enterprise operations in the coming years. AI agents will drive analysis, design, and execution faster and with greater synchronization than ever before. In sum, this emerging technology will support a major shift in business workflow.

At Celosphere 2025, I spoke with Professor Wil van der Aalst — Chief Scientist at Celonis and one of the original creators of process mining — about how process mining has evolved from an academic field into a core enabler of AI-powered business transformation

Manasi Vartak, Chief AI Architect at Cloudera, discusses the growing pains of generative AI adoption, the company's strategy to "move AI to the data," and the complex ethics behind AI deployment. Using her memorable metaphor that "GenAI is like a two-year-old kitten," Vartak emphasizes both the promise and the immaturity of today's large-language-model landscape — and offers a roadmap for how enterprises can responsibly, and profitably, move from experimentation to production.

I spoke with Jason Mills, Global Senior Vice President of Solution Engineering at Cloudera, at the company's recent EVOLVE 2025 event in New York City. In our conversation, Mills noted that today's "failed" AI pilots are valuable lessons pushing enterprises toward repeatable, internal wins. He highlighted document automation and fraud detection as sticky AI use cases, underscored the need to "bring AI to the data" across silos, and made the case for true hybrid optionality—on-prem where it stabilizes cost, cloud where it scales.

As AI agents move from buzzword to business tool, Bhaskar Roy, Chief of AI Products and Solutions at Workato, explains how agentic AI differs from legacy RPA, why governance and observability matter, and how enterprises can measure ROI quickly.

Enterprise IT leaders face a maze of choices as they modernize infrastructure for AI. In this conversation, Madhu Rangarajan, Corporate VP of Server Products at AMD, lays out a pragmatic roadmap: first reclaim space, power, and cooling by upgrading to modern CPUs; then align compute choices (CPU vs. GPU) to workload scale; and finally embrace open standards across networking and software to avoid lock-in.

In this TechVoices conversation, D-Wave Vice President Murray Thom demystifies quantum computing and explains why parts of it are already practical today. He contrasts annealing and gate-model approaches, shows how superconducting quantum systems are tackling high-dimensional optimization, and points to production deployments in workforce, manufacturing, and telecom.

Krste Asanovic, Co-Founder and Chief Architect at SiFive, outlines the company's newest AI-focused RISC-V designs, including ultra-small X160 and X180 cores for pairing with custom accelerators, a new scalar co-processor interface (SSCI), deeper memory-latency tolerance, and specialized instructions for modern activation functions.

In this wide-ranging conversation, Salesforce SVP Marla Hay explains why the Model Context Protocol (MCP)—an open standard connecting large language models to tools and data—has surged in importance, and how its power raises familiar but more acute security concerns.

Agentic AI is reshaping enterprise automation at a scale few predicted. In this TechVoices interview, Automation Anywhere CEO Mihir Shukla discusses how AI agents are transforming business operations, why enterprises need a platform approach to integrate workflows, and how the future of work will demand new organizational models.

n this TechVoices conversation, I spoke with Vidya Shankaran, Field CTO at Commvault, about how AI is reshaping the threat landscape, why true cyber resilience starts with people and processes (not just tools), and why "human-in-the-loop" remains essential. In a wide ranging conversation, we also covered what post-quantum cryptography (PQC) means in practice—including a pragmatic path to crypto agility where classical and PQC approaches coexist.

How can "AI-in-the-loop" relieve overextended IT teams by offloading repetitive, long-tail tasks while keeping human judgment in charge? To address that, I spoke with Faisal Masud, President, HP Digital Services, who outlined business wins—proactive device remediation, fewer tickets, and lower support costs—paired with a mandate to improve the employee experience.

In my conversation with Emilio Salvador, Vice President of Strategy and Developer Relations at GitLab, we explore the evolving relationship between software developers and AI agents. He explains how agents are becoming collaborative partners that can streamline development tasks, enhance productivity, and free developers to focus on innovation.

Generative AI is no longer just a buzzword—it's a real, transformative force. In this in-depth interview, Bharat Sandhu, Senior Vice President and Chief Marketing Officer for SAP Business Technology Platform, offers a grounded and insightful look into how generative AI is being used to build enterprise software—and not just prototypes.

As cybersecurity threats become faster, more complex, and more automated, the old guard of security operations—alert systems and human-only response teams—is no longer enough. Enter agentic AI: intelligent, role-specific software agents that work alongside human analysts to accelerate threat detection and response.

Few voices in enterprise B2B tech social media carry as much influence as Evan Kirstel. As the host of the national television program Tech Impact TV and a long-standing leader in B2B digital engagement, Kirstel offers a front-row view of how companies are navigating—and often struggling with—the shifting currents of social media.

As artificial intelligence reshapes the cybersecurity landscape, organizations find themselves caught in an escalating arms race—AI-enhanced defenses versus AI-powered threats. In this TechVoices interview, I spoke with Brian Rizman, Managing Partner, ServiceNow Risk and Security Solutions at Wipro, about the findings of Wipro's latest cybersecurity report.

Many companies are discovering that the real power of AI—and the complexity—lies in their own data. In this TechVoices interview, Daniel Avancini, Chief Data Officer at Indicium, offers a clear-eyed view of how companies can leverage proprietary data effectively while avoiding common pitfalls.

In a fast-evolving AI landscape, enterprises are racing to harness the power of large language models (LLMs) while managing the complex realities of data privacy, infrastructure, and operational flexibility. In this Tech Voices interview, Lee Caswell, Senior Vice President of Product and Solutions Marketing at Nutanix, discusses "GPT in a Box"—an enterprise-ready solution designed to simplify AI deployment across on-prem, cloud, and edge environments.

I spoke with Robin Grindley, Principal Line Manager for Broadcom's Core Switching Group, about Tomahawk Ultra's technical specifications, the relationship between Ethernet and Infiniband, and the trends driving ultra-low latency networking in today's AI data centers.