Cybersecurity is failing enterprises, this company finally got it right

The global cybersecurity market is worth over $200 billion and growing. Breaches are also growing. The problem is not the budget. It is the architecture. Glemad’s ADT model class is built on a different premise entirely.

Every year, enterprises across Africa and the world increase their cybersecurity budgets. Every year, the number of successful breaches also increases. For boards and executive teams, this is becoming an uncomfortable question: if the money is being spent, why is the problem getting worse?

The answer lies not in how much organisations are spending, but in what they are buying. The dominant security model, built around detection tools, alert queues, and human analysts, was designed for a threat environment that no longer exists. Today’s attacks are automated, fast-moving, and engineered to exploit the gap between when a threat is detected and when a human responds. That gap, often measured in hours, is where breaches happen.

For Nigerian enterprises specifically, the exposure is acute. Financial services institutions, telecom operators, and government agencies are accelerating digital transformation at a pace that outpaces their security capabilities. The attack surface is expanding. The analyst’s capacity to monitor it is not.

This is the market problem that Glemad, an AI security and research company, has spent several years building a solution to.

A Different Architecture
Glemad’s product is not another security dashboard. It is a purpose-built AI model class called ADT, Autonomous Defence Transformers, designed to remove the human bottleneck from threat response entirely.

Where conventional platforms generate alerts for analysts to investigate, ADT operates continuously inside an organisation’s infrastructure, maintaining a live understanding of normal behaviour across users, services, and network layers. When activity crosses into threat territory, the system classifies the threat, evaluates the appropriate response within predefined policy boundaries, and acts. The entire cycle, from detection to containment, takes less than a minute.

David Idris, Founder and CEO of Glemad, frames the commercial proposition clearly: “The cost of a breach is not just the ransom or the recovery. It is the reputational damage, the regulatory exposure, and the operational downtime. ADT is built to make that cost a non-event.”

The performance data supports the claim. ADT-4, the current generation, achieves a mean time to detection of 0.8 minutes. Its autonomous containment rate is 95 per cent. It processes 45,000 security events per second and has protected more than 680,000 digital assets across its deployments. Every action the system takes is logged with traceable reasoning, giving compliance and legal teams a full audit trail.

The Business Model
Glemad deploys ADT commercially through PulseADT, an enterprise platform that integrates directly into existing infrastructure. The company has also released the Glemad API, which allows developers and organisations to embed autonomous defence capabilities into their own systems, opening a second revenue channel beyond direct enterprise sales.

The API strategy is significant. It positions Glemad not just as a security vendor but as infrastructure, the layer that other products and platforms can build on. This is the same model that allowed companies like Stripe in payments and Twilio in communications to scale far beyond what a direct sales motion alone could achieve.

The underlying research behind ADT is publicly available across multiple preprint platforms and academic indexes, giving the technology a credibility foundation that most early-stage security vendors cannot claim.

What This Means for Enterprise Decision Makers
For CISOs and technology leaders evaluating their security posture, ADT represents a structural shift in what is now possible. The traditional choice, more analysts or more tools, has a ceiling. Both options are expensive and slow relative to modern attack speeds, and neither scales efficiently as infrastructure grows.

Autonomous defence removes that ceiling. A system that reasons and responds at machine speed does not get tired, does not miss alerts at 2am, and does not require months of onboarding when the threat landscape changes.

For investors and board members, the question is simpler: the cybersecurity market is not shrinking, the failure rate of existing solutions is not improving, and a company with a fundamentally different architecture and verifiable performance metrics is now available for evaluation.

The cybersecurity market does not have a spending problem. It has an architecture problem. What Glemad is building suggests that the next generation of enterprise defence will not look like the last one.