Indurex Secures €7M to Shift Critical Infrastructure Defense from Network Packets to Physical Plant Safety

AMSTERDAM – October 22, 2026 – The operational technology that keeps the modern world running—from the power grids heating homes to the water systems supplying hospitals—is undergoing a fundamental security reckoning. For years, the cybersecurity industry has treated industrial defense as a network visibility problem. Today, a new wave of innovation is pushing security deeper into the engineering layer, a shift underscored by Dutch cybersecurity firm Indurex's announcement of a €7 million funding round.

The investment, led by European early-stage venture capital firm Contrarian Ventures with participation from Axeleo Capital and Curiosity, signals a growing consensus among investors and industrial operators: monitoring network traffic is no longer sufficient to prevent cyber-physical sabotage. The capital injection will fund research and development alongside commercial expansion across Europe and the Middle East, with strategic plans for future entry into the United States and Asia-Pacific markets.

Founded by serial entrepreneur Jalal Bouhdada and Maarten Oosterink, the Amsterdam-headquartered company has pioneered an AI-native platform dubbed Indurex SafeGuard AI. Emerging from stealth earlier this year and already recognized as a Gartner Cool Vendor, the startup is targeting a critical vulnerability in global infrastructure. As IT and operational technology (OT) environments converge, hackers are bypassing traditional IT perimeters to manipulate the physical limits of programmable logic controllers and safety instrumented systems.

From Network Packets to Physical Plants: The Engineering Layer

The architectural evolution of industrial defense is moving rapidly from the IT server room to the factory floor. Traditional OT security tools were largely built to provide visibility into network-connected assets, answering the question of what is connected. However, as industrial risk escalates, operators increasingly need to know whether engineering configurations, protection settings, and safety functions remain aligned with their intended physical state.

This is the gap Indurex aims to close with what it terms "Engineering Intelligence." The company's platform ingests and correlates telemetry from a complex array of industrial sources, including distributed control systems (DCS), safety instrumented systems (SIS), industrial historians, and alarm management systems, combining them with traditional IT security data.

"Cyber defenses in these critical sectors have focused solely on the network. We focus on the core industrial data itself: the engineering, process and safety signals that determine whether a plant is operating within safe limits," said Jalal Bouhdada, Founder & CEO of Indurex. "Cybersecurity and operational excellence have too often been managed as separate disciplines — Engineering Intelligence is the missing layer, and this funding allows us to bring that capability to more operators across critical infrastructure."

By analyzing the core engineering data, the platform provides context that network-centric incumbents often miss. A network packet might appear normal to a standard firewall, but if that packet contains a command instructing a valve to exceed its safe pressure threshold, it is an engineering anomaly that could lead to catastrophic physical damage.

Europe's Infrastructure Sovereignty Push Fuels Venture Backing

The timing of Indurex's funding round is inextricably linked to heightened geopolitical tensions and a sweeping regulatory overhaul across the European Union. Critical infrastructure sabotage risks have moved from theoretical whitepapers to frontline realities, prompting strict legislative action.

The EU's NIS2 Directive, which required member states to transpose strict new cybersecurity mandates into national law by late 2024, is now in full enforcement mode in 2026. This regulatory pressure is actively accelerating buyer procurement cycles. Enterprises in manufacturing, energy, and digital infrastructure are facing intense scrutiny to prove their control maturity and safety integrity against standards like IEC 62443, NIS2, and NIST CSF. Indurex's platform is designed to provide automated reporting and defensible evidence of this compliance, a feature that makes it highly attractive to compliance-burdened executives.

The urgency is backed by sobering statistics. According to the SANS Institute's State of ICS/OT Security 2025 survey, more than one in five industrial organizations (22%) experienced an industrial control systems or OT cyber incident in the past year. Of those incidents, 40% disrupted operations, and nearly 20% took more than a month to remediate. Furthermore, 58% of respondents named IT compromises spreading into OT networks as the leading initial attack vector.

"Electrification is putting more critical infrastructure online, and attacks on it are rising, with the damage felt in the physical world: cold homes, dark hospitals, water that stops flowing," said Rokas Peciulaitis, Founder & Managing Partner at Contrarian Ventures. "Detection alone is no longer enough. Operators need to understand what an alert means for the physical process behind it. Having built and sold a company in this space, Jalal knows what operators across oil and gas, power and manufacturing need, which makes Indurex one of very few companies that understands both the network packet and the physical process."

Deploying AI Agents to Avert Industrial Catastrophe

Integrating artificial intelligence into high-risk operational technology environments is a delicate balancing act. Plant directors and industrial automation architects are notoriously—and rightfully—cautious about allowing autonomous systems to dictate physical processes. The practical operational reality requires balancing AI-driven anomaly detection with human-in-the-loop safety approvals.

Indurex addresses this by utilizing AI agents not to take autonomous control of the plant, but to surface anomalies and engineering deviations that require human attention. Industrial environments are infamous for "alert fatigue," where operators are overwhelmed by thousands of daily alarms from fragmented tools. The SafeGuard AI platform securely correlates diverse operational and security telemetry, transforming complex industrial data into context-aware insights with recommended actions.

This unified situational awareness is already yielding results for early adopters, which include mid-sized energy companies, large multinational manufacturing enterprises, and data center operators.

"With Indurex, cybersecurity and process safety are no longer managed in silos. The platform correlates OT, safety, and engineering signals into one coherent view, allowing us to understand what really matters operationally," noted the Head of OT Operations at a Global Manufacturing Organisation currently utilizing the platform. "This has significantly improved our ability to move from detection to action, reducing noise and strengthening both safety integrity and cyber resilience."

Bouhdada's own track record lends significant credibility to this high-stakes deployment. Prior to Indurex, he founded Applied Risk, an industrial cybersecurity company that was successfully acquired by global assurance and risk management firm DNV in 2021. His decades of experience and involvement with the World Economic Forum's cyber resilience initiatives signal to the market that Indurex is built by a team that understands the severe implications of industrial safety failures.

As threat actors increasingly leverage AI to scale their operations and discover vulnerabilities faster, the defense mechanisms protecting the physical world must evolve in tandem. By treating safety, cybersecurity, and operational excellence as interdependent disciplines, the industry is finally moving beyond the IT-centric view of the past decade. The €7 million injection into Indurex is more than just a seed round; it is a clear indicator that the future of critical infrastructure protection will be won or lost at the engineering layer.