Security architectures have become bloated, fragmented, and unsustainable. What began as well-intentioned investments in layered defense has evolved into a tangled web of bolt-on solutions doing more harm than good.
This isn’t just a feeling shared by CISOs, it’s backed by data. In a recent study from IBM and Palo Alto Networks, researchers found that the average organization now manages 83 security tools from 29 vendors. The result: rising complexity, tool sprawl, and mounting pressure on already-stretched teams.
These bloated stacks have created ideal conditions for modern threat actors. With more gaps between tools, slower visibility, and weaker response times, attackers are exploiting exactly what defenders thought would protect them. AI and automation only widen the gap when layered on top of disjointed architectures.
When “More” Becomes Less
For years, the cybersecurity status quo was “more tools equals more protection.” But that mindset has proven shortsighted. Like many things in today’s digital landscape, “less is more” is becoming increasingly relevant to cybersecurity.
Each additional solution introduces its own dashboards, data models, rules, and integration quirks. Multiply that across dozens of tools, and the result is fragmented visibility, inconsistent policy enforcement, and teams stretched too thin to keep up.
Even worse, many of these tools are never fully deployed or properly tuned. It’s not uncommon to find default configurations still in place months, or even years, after purchase, or tools that were acquired but never integrated at all.
These problems are often hiding in plain sight; many tools remain in default configurations, are never fully deployed, or are missing key integrations required for effective performance. The stack might look impressive on paper, but in practice, it creates blind spots attackers can exploit.
According to IBM’s research on unified cybersecurity platforms, 95% of security leaders say they use multiple tools that perform the same function, yet fewer than a third report full integration across them. This fragmentation isn’t just inefficient, it actively undermines protection. As IBM’s cybersecurity platform report points out, tool sprawl leads to poor detection, missed handoffs, and rising operational risk.
Organizations that haven’t streamlined their operations take 72 days longer to detect threats and 84 days longer to contain them, compared to those that have consolidated. That lag doesn’t just increase risk, it inflates response costs and amplifies the impact of reputational damage.
As the average attack surface continues to grow, email remains one of the most frequently exploited vectors in the modern enterprise. According to a recent Verizon DBIR, one-third of all breaches begin with a phishing attack, highlighting how traditional email security tools are failing to keep up with the evolving threat landscape.
For many organizations, Secure Email Gateways (SEGs) are still positioned as the first and foremost line of defense against email-based attacks. However, an analysis of 1,900+ customer environments using a SEG in front of our API-based detection reveals a troubling reality: even the most widely used SEGs consistently miss today’s targeted phishing attacks, especially those that rely on social engineering rather than technical exploits.
Across just 100 mailboxes, an average of 67.5 phishing emails evade SEGs each month. Smaller organizations are even worse off, with some seeing 7.5× more missed attacks than their larger counterparts. Much of this disparity comes down to time and staffing.
Smaller teams often lack the technical bandwidth to maintain SEG configurations daily, leaving critical protections misaligned or out of date. Common attack types, including vendor scams, credential theft, and image-based phishing, are specifically designed to bypass static filtering and signature-based detection.
It’s not that these tools are useless, they’re simply insufficient in isolation, especially when they can’t keep pace with adversaries who continuously evolve their tactics.
Why Replatforming Can’t Wait
Replatforming is so much more than simply swapping out old tools for new ones. It’s about rethinking cybersecurity approaches entirely. At its core, replatforming consolidates security capabilities into a cohesive architecture that utilizes automation, shared intelligence, and real-time adaptability to its fullest potential.
And organizations that have made the shift are already seeing results. A recent report from IBM and Palo Alto found that platformized environments enjoy a 101% ROI, compared to just 28% for its counterparts that haven’t embraced consolidation.
For security leaders grappling with talent shortages and rising costs, the business case for replatforming is simply a no brainer. It’s laying the groundwork for more effective AI and machine learning use with more accurate anomaly detection and ease of remediation.
A Practical Framework for Change
Replatforming doesn’t have to mean ripping out everything and starting over. In fact, the most successful transformations often begin small, focusing on one domain like email, endpoint, or identity, before expanding. Don’t know where to begin? Here are a few simple steps for getting started on your new framework:
1. Assess Your Current Stack: Inventory tools by function, overlap, and integration points and identify where fragmentation is creating risk or inefficiency.
2. Prioritize Use Cases: Focus on areas where threat volume is at its highest or operational burden is at its worst.
3. Choose API-Centric Tools: Modern, platform-friendly tools should integrate seamlessly through APIs, enabling shared threat intelligence and automation.
4. Look for Adaptive Capabilities: Seek solutions that incorporate elements of machine learning, behavioral analysis, and human feedback to evolve alongside increased threats.
5. Measure ROI Continuously: Use metrics like time-to-detect and time-to-respond to track improvements over time.
Replatforming is not just a technical upgrade. It’s imperative that security leaders understand and properly invest in these strategies, and resist the temptation to brush over problems with more tools. Now is the time to move toward cohesive, intelligent defenses that scale with the ever-evolving threat landscape.
Security bloat is now one of the biggest hidden risk vectors in enterprise environments. As threat actors grow more sophisticated and attack surfaces expand, fragmented tool systems are no longer cutting it.
The strategy for streamlining is clear: replatform, consolidate, and simplify. Organizations that are ahead of the curve are not only strengthening their defenses but also improving operational resilience, reducing costs, and turning security into a true business enabler. Those who don’t adjust to the times are only setting themselves up for failure in the future.
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