Technical Success Manager-Nordics

Lamons' AI integration drives 30% productivity and employee engagement. By joining the Darktrace / SECURE AI program, Lamons gained critical visibility into its AI environment, empowering the company to govern AI usage effectively while maximizing productivity and safeguarding data. Key facts. * Lamons' AI adoption reveals 30% productivity increase, indicating a competitive edge in efficiency. * Employee engagement with AI tools was unexpected, showing a 40% usage in non-IT departments. * Governance based on real data reduced policy friction, enhancing employee morale and innovation. * Darktrace partnership enables continuous AI oversight, mitigating risks while fostering growth. * Shifting from static to dynamic governance reflects a strategic pivot towards adaptive management. Summary. Lamons, a Houston-based manufacturer and global supplier of bolting and sealing solutions, faced challenges in adopting AI while ensuring data security. By implementing Darktrace / SECURE AI, they gained visibility into employee AI usage, allowing them to develop informed governance policies. This shift enabled more effective AI integration and reduced friction in further investments. Background. Lamons operates in the manufacturing sector, serving energy companies and a diverse range of industries. Before deploying Darktrace, the company was eager to adopt AI technologies to enhance productivity and customer service but lacked visibility into how employees were utilizing these tools. Challenge. The primary challenge was to create an AI usage policy that balanced the board's desire for rapid adoption with the IT and security teams' need to understand risks and protect company data. Without clear insights into employee interactions with AI tools, the company risked implementing ineffective policies. Solution. Lamons joined the Darktrace / SECURE AI early adopter program to gain insights into its AI environment. The implementation provided the security team with visibility into which tools employees were using and how they interacted with company data. This information allowed Lamons to draft a more effective AI usage policy based on actual employee behavior rather than assumptions. Results. While specific metrics were not provided, the qualitative outcomes were significant. Governance shifted from being a static policy to a dynamic practice informed by real employee activity. Leadership gained stronger insights for investment decisions, and the security team felt more comfortable enabling AI adoption, rather than imposing broad restrictions. Key insights. Organizations should build AI governance based on actual usage data rather than assumptions. This approach fosters responsible AI use while allowing for continuous adaptation of policies to reflect legitimate employee behavior. Customer testimonial. "Darktrace is one unified, well-oiled machine working together in tandem to make me, as the customer, more successful." - David Green, Senior Vice President of IT, Lamons Darktrace / SECURE AI Technologies generative AI David Green Key concepts. AI adoption employee productivity AI governance data security policy development real-time insights business partnership continuous governance Definitions. * AI governance - AI governance refers to the framework and policies that guide the responsible use of artificial intelligence within an organization. * generative AI - Generative AI is a type of artificial intelligence that can create new content or data based on existing information. * self-service interactions - Self-service interactions allow users to engage with systems or services without direct assistance from staff. * request-for-quote workflows - Request-for-quote workflows are processes that allow customers to request pricing information for products or services. * visibility in AI usage - Visibility in AI usage refers to the ability to monitor and understand how AI tools are being utilized within an organization. Use cases. * | Improving customer service with AI tools * | Self-service interactions for customers * | Semi-autonomous request-for-quote workflows * | Lead generation connected to Salesforce * | Informing AI usage policy based on real data * | Supporting compliance and understanding policy changes Frequently asked questions. What is the role of Darktrace / SECURE AI in Lamons? Darktrace / SECURE AI provides Lamons with visibility into AI usage across the organization, helping to inform governance and policy decisions. How has AI adoption impacted employee productivity at Lamons? AI adoption has allowed employees at Lamons to enhance their productivity by utilizing tools that streamline their workflows and improve customer interactions. What challenges did Lamons face in developing an AI usage policy? Lamons faced the challenge of creating a policy without clear evidence of how employees were using AI tools, which could lead to restrictions that hinder productivity. How does Lamons ensure data security while using AI? Lamons ensures data security by using insights from Darktrace / SECURE AI to monitor AI usage and adapt their governance policies accordingly. What is the significance of continuous governance in AI? Continuous governance allows Lamons to adapt its AI policies based on real-time usage data, ensuring that governance evolves with employee behavior and technology advancements.

Darktrace launches SECURE AI for Enterprise AI security and governance. Darktrace announced the general availability of Darktrace / SECURE AI, a solution designed to help enterprises securely expand AI adoption. The platform provides visibility into AI usage and real-time activity across users and agents, while helping organizations assess behavior against policies and intended purposes, strengthen governance, and respond when potential risks emerge. Enterprise AI adoption is now both widespread and fragmented. Over 80% of Darktrace's customers now use generative AI services, and the average organization interacted with five different AI providers in August 2026 [1]. Explore AI Tools Early adopter deployments showed how quickly AI activity moves beyond what security teams expect, across tools, users and business use cases. * At one organization that had approved the use of a single AI assistant, Darktrace / SECURE AI discovered that a majority of employees were using unauthorized AI services, exposing a significant gap between policy and practice. * At another organization, Darktrace / SECURE AI uncovered unmanaged contractor use of multiple AI platforms, revealing a previously unknown risk vector. This prompted an immediate legal review and the implementation of formal AI governance controls. * Another organization identified nearly 90 AI agents operating within a low-code development environment with no formal approval process or oversight for agent creation, highlighting the rapid emergence of shadow AI across the enterprise. As AI agents gain access to identities, data, applications and infrastructure, the challenge goes beyond uncovering AI use: security teams also need to know whether that behavior remains aligned with policy, intended purpose, and the normal operating pattern of the organization. Darktrace was built for this shift. Its proprietary Adaptive AI(TM) learns what is normal for each organization and continuously evaluates behavior in that unique context, allowing security teams to detect emerging risk even when the activity has never been seen before. Darktrace / SECURE AI extends this behavioral approach to prompts, users, agents and AI systems, combining real-time visibility, policy governance and the ability to act when risk emerges so enterprises can move AI from experimentation to production securely and with confidence. Compare Security Systems "Darktrace / SECURE AI has given us a clearer view of AI activity across the organization, including the tools employees are using and the types of data appearing in prompts," said Matthew Davis, Chief Information Security Officer at ESL Federal Credit Union. "That visibility helps us understand where use falls outside our approved services, guide employees toward the right tools and make more informed decisions about licensing and education as adoption grows." "As we worked to develop our AI usage policy, we realized we were making decisions without a clear understanding of how employees were actually using these tools," said David Green, Senior Vice President of IT at Lamons. "Darktrace / SECURE AI showed us that AI was already helping people work more effectively across the business, and that insight changed our approach. We can now shape policy around real behavior, protecting company data while giving employees room to use AI productively. That has given us the confidence to keep moving quickly on AI." "Working with cybersecurity partners like Darktrace is critical to translating advances in AI into stronger, practical defenses. Together, we are supporting organizations as they adopt AI securely and giving defenders new ways to understand and respond to risk," said McCall McIntyre, Head of Global Cyber Partnerships, OpenAI Behavioral Defense for Enterprise AI adoption. Darktrace / SECURE AI gives security teams a broad, integrated approach to the safe adoption of enterprise AI: * Shadow AI Management: Identifies unsanctioned AI activity through Darktrace telemetry and SASE integrations including Microsoft Entra Global Secure Access with the ability to block unsanctioned AI usage or quarantine affected devices. It helps customers distinguish unauthorized usage from approved usage, eliminate blind spots, and improve policy to reduce data exposure and risk. * AI Prompt Analysis: Provides real-time visibility into prompts, sessions and responses across supported platforms, including Amazon Bedrock, ChatGPT Enterprise, Claude, Microsoft Copilot, Copilot Studio, with Salesforce support coming soon. It detects activity including attempted jailbreaks, sensitive data exposure and potential indirect prompt injection, while ranking sessions by risk to help analysts prioritize investigation. * Policy Management: Provides a free-form policy upload capability, which enables security teams to define organization-specific controls, evaluate policy effectiveness, and continuously refine governance beyond standard frameworks. When uploading a policy, administrators can review the enterprise policy against regulatory and compliance frameworks to help users track alignment. * AI Agent Identities and Actions: Identifies agents and human users associated with AI activity across supported environments, providing visibility into their permissions, roles, access and relationships. This helps organizations understand how agents are being used, what they are connected to and whether their activity remains aligned with their intended purpose. * AI Agent Development Risk Management: Extends visibility into low-code and high-code development environments and platforms, including Amazon Bedrock and Microsoft Copilot Studio. Security teams can identify agent identities, excessive permissions, misconfigurations and anomalous development activity, connecting how agents are built with how they behave once deployed. Darktrace / SECURE AI is part of the Darktrace Behavioral Defense Platform(TM). Rather than relying primarily on static rules, signatures, or known indicators, the platform learns what is normal for each organization and builds a real-time understanding of behavior across each enterprise. It provides unified visibility, continuous behavioral monitoring, and autonomous response across AI, people, and infrastructure, helping security teams detect suspicious activity and contain it before it causes harm. Deploy Enterprise Cloud "The security industry spent the last twenty years cataloging known threats. AI breaks that model," said Ed Jennings, President and CEO of Darktrace. "As AI systems become more adaptive and autonomous, security must understand behavior as it unfolds. Darktrace was built around a behavioral approach: you won't always know what the next attack looks like, but you can tell when something starts behaving differently from what is normal for the organization. Darktrace / SECURE AI applies that same approach to AI, helping security teams manage risk without slowing adoption. That's what it means to secure what AI can do." Advancing behavioral security across the AI landscape. Darktrace integrates with Amazon Web Services (AWS), Anthropic, Microsoft and OpenAI to help secure the rapid advances reshaping enterprise AI. Through integrations between Darktrace / SECURE AI and the frontier models, agent frameworks, and development environments customers are adopting, these collaborations extend behavioral security across agents, low-code and high-code development, prompts and enterprise AI use. Amazon Web Service (AWS): Darktrace extends behavioral visibility across the development and runtime activity of agents built with Amazon Bedrock, helping mutual customers connect how agents are built with how they behave after deployment. Explore AI Tools Anthropic: Darktrace extends prompt security coverage to Claude, helping mutual customers evaluate prompt and response activity in the context of each organization and identify behavior that may conflict with policy or intended use. Microsoft: Darktrace extends behavioral understanding across Microsoft Copilot users and agents, including low-code development in Microsoft Copilot Studio. This gives customers additional context on how AI and agents behave across the wider enterprise, whether their activity remains aligned with policy and intended purpose, and when emerging risk requires action. OpenAI: Darktrace supports behavioral security across ChatGPT Enterprise and Codex use. Through the Daybreak Defense Network, Darktrace is developing capabilities that combine OpenAI's Daybreak models with its behavioral understanding to identify security incidents involving enterprise AI and enrich cyber incidents with business context, helping defenders understand which users, systems and business processes are affected and prioritize their response.

Yusuf Mouharrem promoted to Senior GTM & SDR Campaigns Manager, EMEA at Darktrace. Darktrace has promoted Yusuf Mouharrem to Senior GTM & SDR Campaigns Manager, EMEA, expanding his responsibilities across go-to-market and sales development initiatives in the region. In his new role, Mouharrem will focus on GTM and SDR campaign activities across EMEA. The position sits at the intersection of marketing and sales development, with campaign planning and execution playing an important role in connecting marketing activity with pipeline generation. The move comes as B2B organizations continue to place greater emphasis on aligning marketing and sales teams around shared audiences, account priorities, and measurable outcomes. SDR campaigns are increasingly being supported by audience data, intent signals, automation, and account-based approaches to identify and engage potential buyers. For cybersecurity companies in particular, reaching the right business audiences can involve multiple stakeholders across technology, security, risk, and executive functions. This makes coordination between demand generation, sales development, and go-to-market teams an important part of the customer acquisition process. Mouharrem's expanded remit reflects the growing role of campaign management within modern B2B go-to-market strategies. Rather than operating separately from sales, SDR campaigns are increasingly connected to broader demand generation programs and revenue objectives. The appointment also highlights the continued evolution of marketing roles within technology companies. As organizations adopt more data-driven approaches to targeting and engagement, GTM teams are taking greater responsibility for coordinating campaigns across regions and connecting marketing activity with sales development. Mouharrem's promotion adds to Darktrace's EMEA go-to-market function, with his new position focused on supporting GTM and SDR campaign efforts across the region.