For years, organisations were encouraged to simplify cybersecurity by standardising on a single vendor.
By Hemant Harie, group chief technology officer at Data Management Professionals South Africa
Today, that approach is increasingly being replaced by a best-of-breed strategy, where businesses select specialised tools that excel in areas such as endpoint security, identity protection, network monitoring and cloud defence.
The logic is sound as specialist solutions often provide deeper capabilities, stronger visibility and greater flexibility than a single platform approach. However, as organisations expand their security stacks, they also introduce a new challenge: complexity.
Every new security product introduces another dashboard, another stream of alerts and another integration point. While individual tools may perform exceptionally well, they often operate in isolation, creating gaps between systems and forcing security teams to make decisions based on fragmented information.
This is a growing operational burden, with teams overwhelmed by alerts, incidents taking longer to investigate, duplicated effort becoming commonplace, and critical warning signs missed altogether. In many cases, organisations do not suffer because they lack security controls. They struggle because they lack visibility across the controls they already have.
Not just a consolidated dashboard
This is why the concept of a single pane of glass has become increasingly important. A true single pane of glass is not simply a consolidated dashboard. Presenting information from multiple products in one location does not automatically improve security outcomes. The real value comes from creating a unified control plane capable of transforming vast volumes of telemetry into actionable intelligence.
Every security product generates telemetry in the form of logs, alerts, events and activity data. The challenge is that each vendor structures, prioritises and presents that information differently. An AI-driven control plane acts as a central intelligence layer that ingests telemetry from disparate systems, normalises the data into a common format and correlates related signals.
Instead of analysts reviewing hundreds of disconnected alerts, the platform identifies patterns, groups related events into incidents and provides the context needed to prioritise action. It becomes possible to distinguish between noise and genuine threats, automate routine responses and focus human expertise where it delivers the greatest value.
This combination of visibility, context and automation is becoming essential as organisations operate increasingly complex hybrid environments spanning cloud platforms, on-premises infrastructure, endpoints and remote users.
Operational outcomes
For managed service providers and security teams, achieving this level of integration requires more than selecting the right technology. Successful implementations begin with operational outcomes rather than products.
The first step is understanding which operational decisions need to be made and what visibility is required to support them. Existing tools should then be mapped to identify overlaps, gaps and areas where blind spots exist. Once visibility requirements are understood, organisations must establish clear ownership for incident escalation, investigation and remediation. Only then should automation and integration be introduced.
Every effective control plane is built on three foundations, namely visibility, automation and governance. Remove any one of these elements and the result is often nothing more than another dashboard.
Equally important are the people and processes that sit behind the technology. Security teams need documented, repeatable playbooks that define how common incidents are identified, escalated and resolved. As AI-driven platforms assume responsibility for data correlation and routine actions, analysts must evolve from monitoring alerts to interpreting intelligence, refining workflows and continuously improving operational effectiveness.
Success equals outcomes
Success should also be measured through outcomes rather than technical metrics alone. Organisations should focus on how quickly they can detect, investigate and resolve incidents. They should assess how effectively alerts are being correlated, how much analyst effort is being saved through automation and whether security operations are reducing downtime and improving compliance reporting. These indicators provide far greater insight than the number of security products deployed.
When evaluating vendors and service providers, organisations should ask how well a solution works within the broader ecosystem. Integration capabilities, realistic automation outcomes, auditability, evidence retention, reporting functionality and long-term product development plans all matter. Buyers should also understand how platforms learn and improve over time to ensure today’s solution does not become tomorrow’s blind spot.
Ultimately, cybersecurity success is no longer about owning the most tools, but about connecting them. Organisations that can transform fragmented data into actionable intelligence through a unified control plane will be better positioned to reduce risk, accelerate response times and maintain complete visibility across increasingly complex environments.