Malik Haidar has spent decades at the intersection of digital intelligence and physical safety, helping global enterprises navigate the transition from reactive surveillance to proactive, AI-driven security. With a background rooted in managing complex infrastructures for multinational corporations, he offers a unique perspective on how the integration of business strategy and cybersecurity is redefining the protection of physical assets. In this discussion, we explore the logistical hurdles of global scaling, the fiscal impact of massive investment from entities like CapitalG, and how integrated AI features—from automated loitering deterrence to unified timelines—are fundamentally altering the cost-benefit analysis of modern security deployments for more than 31,000 customers worldwide.
Opening new regional hubs in cities like Dubai, Atlanta, and Chicago suggests a massive scaling effort. How do you prioritize these specific markets for physical security, and what are the logistical challenges of maintaining a unified corporate culture across such diverse international and domestic locations?
When we look at expanding into hubs like Dubai or Atlanta, we aren’t just opening satellite offices; we are placing flagpoles in high-growth territories where physical and digital assets are rapidly densifying. We prioritize these markets based on the concentration of complex infrastructure and the presence of our core client base, which already includes more than 100 of the Fortune 500 companies. The logistical challenge lies in ensuring that a team in the Middle East or the American Midwest operates with the same cloud-first mindset that defines our central mission. We manage this by utilizing the very technology we sell to bridge the distance, creating a unified environment where our two million online devices serve as a consistent backbone for operations. This connectivity ensures that whether a technician is in Chicago or Dubai, they are working within a standardized framework of excellence and real-time data.
Attracting major investment from groups like CapitalG can push a company’s valuation toward the billion mark. How does this level of capital influence your long-term research and development, and what fiscal strategies are required to maintain a consistent 30% year-over-year revenue growth?
Securing investment from Alphabet’s investment arm, CapitalG, which recently valued the company at $5.8 billion, allows us to shift our focus from immediate fixes to generational research and development. This capital provides the fuel to deliver an incredible pace of innovation, evidenced by the 174 new AI features and product updates we released in just the past year. To maintain a consistent 30% year-over-year revenue growth, we focus on deep account expansion rather than just high-volume acquisition. Our data shows that the average customer nearly doubles their initial spend within the first twelve months, proving that once an organization experiences the efficiency of the platform, they quickly find more ways to apply it. By ensuring that 78% of our core customers adopt two or more product lines, we create a stable, compounding revenue stream that supports our aggressive scaling goals.
Organizations are increasingly adopting multiple integrated security lines, often doubling their initial investment within the first year. What are the operational advantages of a unified platform over a “best-of-breed” patchwork of vendors, and how does this integration affect the long-term total cost of ownership?
The primary operational advantage of a unified platform is the total elimination of the data silos that typically cripple security responses. When you move away from a patchwork of vendors, you gain a “force multiplier” where cameras, sensors, and access control work in a single, cohesive ecosystem. This integration has a massive impact on the long-term total cost of ownership; for example, one national non-profit saved $1.5 million over a seven-year period by eliminating resource-intensive on-prem servers and NVRs. By reducing IT support needs by 50% to 70% across hundreds of sites, organizations can redirect those funds into their core mission rather than maintenance. Ultimately, having 54% of our customers using three or more product lines shows that the market is moving toward a model where simplicity and integration drive both safety and fiscal health.
AI-powered tools can now automatically detect loitering or safety violations like missing protective gear. How do these proactive deterrents change the daily responsibilities of a security team, and what steps are necessary to ensure these automated systems remain accurate across different industrial environments?
These proactive tools fundamentally change a security professional’s day from one of passive monitoring to one of strategic intervention. Instead of staring at a wall of monitors, the team is only engaged when the AI detects specific, anomalous activities, such as a person on a manufacturing floor without PPE or someone climbing a perimeter fence. The system can even trigger AI-generated messages that incorporate scene context to deter loitering automatically, handling the “first response” without human intervention. To ensure accuracy across 171 different countries and diverse industrial settings, we process over 400 million images per hour during peak times to constantly refine our detection algorithms. This high-volume data processing allows the system to distinguish between routine movement and genuine safety risks, ensuring that alerts remain a reliable tool rather than a source of “alarm fatigue.”
Mapping the journey of a person of interest into a single timeline can reduce investigation times from hours to minutes. Beyond simple speed, how does this level of visibility change an organization’s approach to liability, and what are the practical steps for implementing this across thousands of devices?
Moving from hours of manual footage review to a single, map-based timeline completely redefines an organization’s legal and insurance posture. When you can visually reconstruct a person’s journey across a facility in minutes, you provide an undeniable record of truth that can be exported and shared instantly, which is why some global manufacturers have seen their investigation speeds increase fivefold. Implementing this across thousands of devices is streamlined because the intelligence lives in the cloud, requiring no local hardware upgrades to activate new AI features. This visibility allows 31,000 global customers to act with confidence, knowing they have the data to mitigate false liability claims or address internal security breaches immediately. The practical step for implementation is simply shifting to a cloud-managed architecture that allows these AI-powered search features to scan millions of data points across all sites simultaneously.
High-risk facilities, such as memory care centers or large manufacturing plants, use sensors to prevent wandering or accidents. What specific metrics should facility managers track to prove the ROI of these systems, and how do you navigate the balance between proactive monitoring and individual privacy?
For high-risk facilities, the most critical metric for ROI is the “zero-incident” rate, such as the multi-site aged care provider that achieved zero wandering incidents over six months using our AI-powered alerts. Beyond safety, managers should track labor efficiencies; for instance, a major research university slashed daily resident lockouts by 93%, which directly translates to hundreds of hours of saved staff time. We navigate the privacy balance by using targeted sensors and AI that alert on behavior—like a slip-and-fall event or a person entering a restricted zone—rather than intrusive, constant surveillance. This behavior-based approach allows for a projected savings of hundreds of thousands of dollars over a 10-year total cost of ownership while respecting the dignity and privacy of residents or employees. By focusing on specific safety outcomes, we ensure that the technology serves the people within the building without making them feel watched.
Digital visitor management systems are now capable of preventing thousands of security threats annually. What specific features are most effective for identifying unauthorized guests, and how does the use of real-time AI translation improve the safety and efficiency of global corporate lobbies?
Our visitor management system prevented more than 5,000 potential threats last year by using real-time screening to identify unauthorized guests before they ever stepped past the lobby. One of the most effective features is the integration of AI-powered voice directories and live translation on intercoms, which removes the dangerous friction of language barriers in high-traffic global offices. Visitors can state their intent in any language, and the system provides instant transcriptions for the call recipient, ensuring that the security protocol is followed accurately regardless of who is at the door. This not only improves the efficiency of the entry process but also ensures that no one gains access simply because of a communication breakdown. It creates a professional, secure first point of contact that can be managed remotely, even for facilities with eight million door unlocks per day.
What is your forecast for AI-powered physical security?
My forecast for AI-powered physical security is a total transition toward “autonomous safety,” where systems move from alerting us about the present to predicting and preventing incidents before they happen. We will see the intelligence of the building itself become a proactive participant in security, where the eight million daily door unlocks we currently manage become part of an integrated web of behavioral intent analysis. As we continue to refine the 174-plus AI features launched this year, I expect the focus to shift toward complete environmental awareness—where cameras, sensors, and access points work together to eliminate threats like wandering or theft with near-perfect accuracy. Ultimately, this technology will drive down security costs by another 50% through labor efficiencies and incident reduction, making elite-level safety a standard expectation for every organization on the planet.
