{"id":35378,"date":"2026-06-29T12:08:42","date_gmt":"2026-06-29T12:08:42","guid":{"rendered":"https:\/\/itbusinesstoday.com\/?p=35378"},"modified":"2026-06-29T12:08:42","modified_gmt":"2026-06-29T12:08:42","slug":"interview-with-achraf-jday-co-founder-ceo-antitech","status":"publish","type":"post","link":"https:\/\/itbusinesstoday.com\/ja\/interviews\/interview-with-achraf-jday-co-founder-ceo-antitech\/","title":{"rendered":"Antitech\u306e\u5171\u540c\u5275\u696d\u8005\u517cCEO\u3001\u30a2\u30af\u30e9\u30d5\u30fb\u30b8\u30c7\u30a4\u6c0f\u3078\u306e\u30a4\u30f3\u30bf\u30d3\u30e5\u30fc"},"content":{"rendered":"

Achraf, can you tell us about your professional background and your current role at Antitech?<\/strong><\/p>\n

I\u2019m the Co-Founder and CEO of Antitech, where we are building security infrastructure for the agentic AI era. Our mission is to help companies safely deploy AI agents by continuously testing, attacking, monitoring, and hardening them before real-world failures happen.<\/p>\n

My background sits at the intersection of AI, cybersecurity, and entrepreneurship. I studied computer science and cybersecurity in France, worked across AI transformation and security roles, taught cybersecurity, built developer communities, and participated in international innovation programs and hackathons. Over the years, I\u2019ve seen both the technical and organizational sides of technology adoption: the excitement of new capabilities, but also the fear, confusion, and lack of operational readiness that often slow companies down.<\/p>\n

At Antitech, my role is to drive the company\u2019s vision, product strategy, partnerships, and go-to-market, while working closely with our technical team on how AI security should evolve for a world where software is no longer just code, but autonomous systems making decisions and using tools.<\/p>\n

You\u2019ve been involved in technology communities since your teenage years, long before today\u2019s AI boom. Having witnessed multiple waves of innovation first-hand, what feels fundamentally different about the shift toward agentic AI compared to previous technology revolutions you\u2019ve experienced?<\/strong><\/p>\n

Previous waves of technology, like cloud adoption, mobile, or even early AI, changed how we built and delivered software. Agentic AI changes who or what is actually doing the work.<\/p>\n

With cloud, companies were moving infrastructure. With mobile, they were changing interfaces. With traditional AI, they were adding intelligence to specific workflows. But with agentic AI, companies are giving systems autonomy: access to tools, memory, data, APIs, emails, documents, codebases, and sometimes financial or operational authority.<\/p>\n

That creates a very different risk profile. A normal software bug might break a function. A vulnerable AI agent can misunderstand intent, leak sensitive data, follow malicious instructions, abuse tools, or make decisions that were never explicitly programmed. The attack surface becomes behavioral, not just technical.<\/p>\n

What feels different is the speed and depth of adoption. Everyone wants to move fast because the productivity gains are obvious. But the security models, governance processes, and organizational maturity are not moving at the same speed. That gap is where the next generation of cybersecurity needs to be built.<\/p>\n

Your career sits at an unusual intersection of AI, cybersecurity, education, and entrepreneurship. Looking back, were there any lessons from teaching and community building that unexpectedly became valuable when building products and companies later on?<\/strong><\/p>\n

Teaching taught me that adoption is rarely just a technical problem. You can build something powerful, but if people do not understand it, trust it, or know how to use it safely, it will not create real impact.<\/p>\n

Community building also taught me how technology actually spreads. It starts with curiosity, then education, then experimentation, then trust. The same pattern applies when selling to enterprises or building a startup. You have to explain the problem clearly before people care about the solution.<\/p>\n

In cybersecurity especially, fear alone does not work. People need to see the risk, but they also need a practical path forward. That is something I learned from teaching: the best way to change behavior is to make complex ideas understandable and actionable.<\/p>\n

That directly influences how we build Antitech. We do not want AI security to be something only experts understand. We want to make it operational: clear reports, concrete attack simulations, measurable hardening, and tools that developers and security teams can actually use.<\/p>\n

Many people still view cybersecurity as something that happens after a system is built. Yet your work focuses on securing AI systems from the outset. Why do you think traditional approaches to security struggle to keep up with the realities of agentic AI?<\/strong><\/p>\n

Traditional cybersecurity was built around relatively stable systems: applications, networks, endpoints, infrastructure, and known patterns of vulnerabilities. You could scan code, patch dependencies, monitor logs, and define access controls.<\/p>\n

Agentic AI is different because the system\u2019s behavior is dynamic. An agent can interpret instructions, call tools, retrieve context, interact with users, and make decisions based on changing information. The same agent can behave safely in one context and dangerously in another.<\/p>\n

This means security cannot only happen after deployment. You need continuous testing before, during, and after deployment. You need to simulate adversarial behavior, test for prompt injection, tool abuse, data leakage, memory poisoning, unsafe autonomy, and policy failures.<\/p>\n

The biggest shift is that we need to secure not only the code, but the behavior of the AI system. That requires a new security layer designed specifically for autonomous and semi-autonomous AI.<\/p>\n

Recent industry research suggests that organizations are investing aggressively in AI, but trust, governance, and security remain among the biggest barriers to scaling adoption. In your view, what separates the companies that are successfully operationalizing AI from those that remain stuck in experimentation?<\/strong><\/p>\n

The companies that succeed treat AI as infrastructure, not as a demo.<\/p>\n

Many organizations are still experimenting with isolated pilots, internal chatbots, or small productivity tools. That is useful, but it does not create transformation by itself. The companies that move faster usually have three things: a clear business use case, strong internal ownership, and a serious approach to governance and security.<\/p>\n

They know which workflows they want to automate. They know who is responsible when something goes wrong. They know what data the AI can access, what tools it can use, and what limits should exist. They also test systems before putting them in front of real customers or sensitive operations.<\/p>\n

The companies stuck in experimentation often do not lack ambition. They lack trust. Leaders are excited by AI, but legal, compliance, security, and business teams do not yet have enough confidence to scale it. That is exactly why AI security is becoming a board-level topic.<\/p>\n

You\u2019ve described your current mission as building the security layer for the agentic era. When you look ahead three to five years, what are the security challenges that most organizations are underestimating today, but will likely become impossible to ignore tomorrow?<\/strong><\/p>\n

The first is tool abuse. As agents gain access to APIs, browsers, databases, CRMs, payment systems, and internal tools, attackers will focus on manipulating agents into taking harmful actions.<\/p>\n

The second is data exfiltration through indirect prompt injection. A malicious webpage, document, email, or repository can contain instructions that an agent reads and follows without the user realizing it.<\/p>\n

The third is memory poisoning. If agents rely on long-term memory, attackers will try to corrupt that memory and influence future decisions.<\/p>\n

The fourth is autonomous decision risk. Today, many agents are assistants. Tomorrow, they will negotiate, execute transactions, write production code, manage workflows, and interact with other agents. Security failures will become business failures.<\/p>\n

Finally, I think companies are underestimating how fast AI systems will become interconnected. We are moving toward ecosystems of agents communicating with other agents, humans, tools, and physical systems. That creates a massive new attack surface. In three to five years, AI security will not be optional. It will be part of the foundation of digital trust.<\/p>\n

Throughout your journey, you\u2019ve operated across Europe, North Africa, the Middle East, and now Japan. How has exposure to such different innovation ecosystems shaped your perspective on what makes founders and startups resilient in rapidly changing markets?<\/strong><\/p>\n

It taught me that there is no single path to building a great company.<\/p>\n

In Europe, I saw strong research, regulation, and technical depth. In North Africa and the Middle East, I saw ambition, resourcefulness, and founders who can build with very limited resources. In Japan, I see a unique combination of industrial depth, long-term thinking, trust, and a strong need for secure innovation.<\/p>\n

Moving across these ecosystems made me more resilient because it forces you to adapt. You learn that what works in one market does not always work in another. You have to understand culture, timing, trust, decision-making, and local pain points.<\/p>\n

The strongest founders are not just the ones with the best ideas. They are the ones who can keep learning, keep moving, and keep translating their vision into something that different markets can understand. Resilience comes from being deeply committed to the mission, but flexible in the path.<\/p>\n

You\u2019re currently building from within Antler Japan at a time when both Japan\u2019s startup ecosystem and AI ambitions are accelerating. What opportunities do you see emerging in Japan that global founders may not fully appreciate yet?<\/strong><\/p>\n

Japan is one of the most interesting places in the world to build AI security because it combines advanced industry, high trust requirements, and a real need for safe automation.<\/p>\n

Many global founders look at Japan and think mainly about market difficulty, language barriers, or slower enterprise sales. But they often underestimate the depth of the opportunity. Japan has world-class companies in manufacturing, finance, robotics, mobility, electronics, and infrastructure. These are exactly the sectors where AI agents and autonomous systems can create enormous value, but also where safety and reliability matter the most.<\/p>\n

Japan is also thinking seriously about AI governance, cybersecurity, and industrial competitiveness. For a company like Antitech, that is very important. We are not just building another AI tool. We are building trust infrastructure for companies that cannot afford chaotic or unsafe AI deployment.<\/p>\n

I believe Japan can become a major hub for secure, enterprise-grade AI adoption, especially in areas like agentic systems, robotics, and physical AI.<\/p>\n

One recurring theme in your career is helping people adopt new technologies, whether through teaching, speaking, consulting, or building communities. When it comes to AI today, what do you think people are still asking the wrong questions about?<\/strong><\/p>\n

A lot of people still ask, \u201cWhat can AI do?\u201d That is important, but it is not enough.<\/p>\n

The better questions are: \u201cWhat should AI be allowed to do?\u201d \u201cWhat tools should it access?\u201d \u201cWhat data should it see?\u201d \u201cHow do we know it behaved correctly?\u201d \u201cWho is responsible when it fails?\u201d \u201cHow do we test it before deployment?\u201d And \u201cHow do we keep improving its security as new attacks appear?\u201d<\/p>\n

AI adoption is not just about capability. It is about control, trust, and accountability.<\/p>\n

I also think people over-focus on replacing humans and under-focus on redesigning workflows. The biggest opportunity is not simply automating tasks. It is building new systems where humans and AI work together safely, with the right boundaries and oversight.<\/p>\n

If we were to have this conversation again five years from now, what developments in AI, cybersecurity, or entrepreneurship would need to happen for you to feel genuinely optimistic about the direction the industry has taken?<\/strong><\/p>\n

I would feel optimistic if secure AI became the default, not an afterthought.<\/p>\n

Five years from now, I hope companies do not deploy agents without testing them, monitoring them, and defining clear boundaries. I hope AI security becomes as normal as cloud security or application security. I also hope we move from fear-based conversations to practical, engineering-driven solutions.<\/p>\n

In cybersecurity, I want to see autonomous defense systems that can learn from attacks, adapt quickly, and protect organizations in real time. In AI, I want to see more transparency, stronger governance, and better collaboration between startups, enterprises, governments, and researchers.<\/p>\n

From an entrepreneurship perspective, I hope we see more global founders building from places outside the usual centers of power. Talent is everywhere. The next generation of important AI companies will not only come from Silicon Valley. They will come from Tokyo, Tunis, Paris, Seoul, Singapore, Nairobi, Bangalore, and many other places.<\/p>\n

For Antitech, the goal is to be one of the companies that helps make this future possible: a world where AI systems become more powerful, but also safer, more trustworthy, and more aligned with human intent.<\/p>","protected":false},"excerpt":{"rendered":"

Achraf, can you tell us about your professional background and your current role at Antitech? I\u2019m the Co-Founder and CEO of Antitech, where we are building security infrastructure for the agentic AI era. Our mission is to help companies safely deploy AI agents by continuously testing, attacking, monitoring, and hardening them before real-world failures happen. My background sits at the intersection of AI, cybersecurity, and entrepreneurship. I studied computer science and cybersecurity in France, worked across AI transformation and security roles, taught cybersecurity, built developer communities, and participated in international innovation programs and hackathons. Over the years, I\u2019ve seen both the technical and organizational sides of technology adoption: the excitement […]<\/p>\n","protected":false},"author":7,"featured_media":35396,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"wprm-recipe-roundup-name":"","wprm-recipe-roundup-description":"","postBodyCss":"","postBodyMargin":[],"postBodyPadding":[],"postBodyBackground":{"backgroundType":"classic","gradient":""},"footnotes":""},"categories":[6472],"tags":[2698,1788,602,13823,110],"ppma_author":[572],"class_list":["post-35378","post","type-post","status-publish","format-standard","has-post-thumbnail","category-interviews","tag-agentic-ai","tag-ai-systems","tag-ai-transformation","tag-antitech","tag-cybersecurity"],"yoast_head":"\nAntitech CEO Achraf Jday Interview<\/title>\n<meta name=\"description\" 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