Contributor: Jonathan Maresky, Head of Product Marketing
Introduction
Security operations teams are under pressure from two directions at once. Attackers are moving faster, using automation and AI to compress the time between discovery, weaponization, and exploitation. At the same time, enterprise environments are becoming harder to defend: cloud, identity, SaaS, OT, AI agents, third parties, and hybrid infrastructure have expanded the number of assets, exposures, and signals that security teams must understand.
For many SOCs, the issue is no longer a lack of alerts.
It is a lack of connected context.
Analysts often have telemetry, vulnerability findings, threat intelligence, asset data, and business information, but these signals live in separate tools and workflows. The result is familiar: too much effort spent triaging low-value alerts, not enough confidence about which exposures matter most, and too little alignment between detection, response, remediation, and business risk.
Gartner®’s recent report, Implementation Guide: Introduce Agentic AI Into Exposure-Driven SOC Workflows, by Jonathan Nunez and Mitchell Schneider, published 18 May 2026, mentions “more than 50% of SOC performance gains will come from improvements in exposure data quality, exposure-context integration and workflow alignment rather than from incremental increases in detection volume or tooling complexity.”
That statement captures the next era of security operations. Better outcomes will not come simply from adding more tools, generating more alerts, or increasing detection volume. They will come from improving the quality of exposure data, integrating that data into the daily work of the SOC, and aligning teams around the exposures that create the greatest business risk.
This is where CyberProof’s approach is highly relevant. CyberProof’s CDC Reveal360 platform enables organizations to operationalize Continuous Threat Exposure Management, while CyberProof’s Agentic AI framework brings human-verified, AI-powered assistance into MDR/MXDR, SecOps, exposure management, and cybersecurity services. Together, they help enterprises move toward a continuous, end-to-end operating model for improving security posture — the CyberProof way: Better Security, Together.
A core SOC challenge
A core operating-model challenge: SOCs see a great deal, but they cannot always act on what matters most quickly enough.
Organizations should work towards exposure-driven SOC workflows, where exposure data, threat context, and business context are mobilized across detection, incident response, cyber threat intelligence, hunting, and security control validation.
Agentic AI can be powerful, but it should not be layered onto fragmented data, disconnected systems, and unclear governance. In that environment, AI risks amplifying noise, accelerating poor decisions, and creating operational or compliance risk. Instead, organizations should build the foundations first: a reliable exposure data layer, consistent integration across security workflows, clear ownership, and defined guardrails for AI-assisted action.
The report includes a 12-month implementation roadmap:
Source: “Implementation Guide: Introduce Agentic AI Into Exposure-Driven SOC Workflows”
SOC performance should be reframed around risk reduction, not activity volume. The key question is not “How many alerts did we process?” but “How quickly did we reduce exposure on the assets and workflows that matter most?”
How CyberProof can help companies implement these concepts
CyberProof’s CDC Reveal360 and Agentic AI framework are built for exactly this kind of shift: from reactive security operations to continuous, threat-led, exposure-driven defense.
CDC Reveal360 includes EAP (Exposure Assessment Platform) capabilities and provides the visibility and collaboration layer for operationalizing Continuous Threat Exposure Management (CTEM). CDC Reveal360 is where people interact with CyberProof platform and service data, with dashboards for different stakeholders and visibility into security posture, exposure, defense performance, service metrics, and outcomes. For CTEM and customers, it visualizes EAP-powered analysis such as threat-defense coverage gaps, exposure prioritization, and estate visibility.
This matters because CTEM cannot succeed as a theoretical framework. It needs connective tissue. CyberProof’s CDC Reveal360 brings together active threat campaigns, TTPs, assets, identities, vulnerabilities, endpoints, networks, cloud environments, detections, logging, and security controls so organizations can move from fragmented data to actionable insight.
The CyberProof model maps naturally to the exposure-driven SOC journey:
- Foundation and alignment. CyberProof can help clients assess current exposure management maturity, define priority use cases, and align CTEM objectives to measurable security outcomes. CDC Reveal360 provides a shared view of estate, exposure, defense, and threat context, helping teams create a common language across security, IT, cloud, application, identity, and business stakeholders.
- Integration and context buildout. CyberProof’s approach connects threat, estate, exposure, and defense data across the security ecosystem. The CDC Reveal360 platform is powered by CyberProof’s broader architecture, which maps relationships across threat actors, campaigns, techniques, assets, vulnerabilities, identities, detections, and controls.
- SOC mobilization. Once exposure context is connected, CyberProof can help embed it into MDR/MXDR, detection engineering, threat hunting, incident response, and security platform management. This helps analysts prioritize alerts involving critical assets, active exploitability, relevant threat actors, or known control gaps, rather than treating every signal as equal.
- Agentic AI enablement. CyberProof’s Agentic AI framework extends this operating model by deploying intelligent agents across security operations. CyberProof’s technology-agnostic framework is designed to improve threat detection, incident response, and operational efficiency for exposure and defense management, with emphasis on human oversight, technology neutrality, and verifiable threat-risk analytics.
CyberProof’s Agentic AI framework includes agents for threat intelligence profiling, threat hunting, detection engineering, automation and orchestration, documentation and reporting, and estate management discovery. These agents are designed to collaborate across workflows while keeping human oversight at key decision points.
This is an important distinction. We are not positioning AI as a replacement for CTEM, SOC process, or human expertise. We are using AI to accelerate well-governed workflows once the data, integrations, and operating model are ready.
In other words: performance gains are driven by better exposure data, better context integration, and better workflow alignment.
Benefits to Clients
For enterprise clients, the combined value of CDC Reveal360 and CyberProof’s Agentic AI framework is practical and measurable.
- First, clients gain a clearer view of risk. CDC Reveal360 helps turn fragmented security data into a shared view of exposure (including EAP), threat relevance, defense posture, and service performance. This helps CISOs and security leaders communicate priorities more clearly and support board-ready discussions about risk reduction, investment, and outcomes.
- Second, SOC teams can focus on the exposures that matter most. By connecting threat intelligence, asset criticality, vulnerabilities, identity, cloud, detections, and controls, CyberProof helps teams prioritize based on business impact and exploitability. This supports faster triage, more consistent investigations, and better alignment between detection, response, remediation, and validation.
- Third, CyberProof’s Agentic AI framework helps reduce manual effort while preserving trust. The framework is designed around human-agent collaboration, not unchecked autonomy. In early SOC pilots, we reported up to a 90% improvement in MITRE rule mapping accuracy and a reduction in manual workloads by more than 50%.
- Fourth, clients can extend the value of existing security investments. CyberProof’s technology-agnostic approach is designed to work with hyperscaler ecosystems, third-party tools, client-preferred agents, and existing SOC platforms. This helps enterprises modernize without forcing a rip-and-replace strategy.
- Finally, the CyberProof model supports continuous improvement. Insights from exposure management, MDR/MXDR, threat hunting, incident response, detection engineering, and control validation can feed back into the broader security program. Over time, clients can refine detections, adjust controls, improve remediation sequencing, validate progress, and demonstrate measurable improvement in security posture.
That is the essence of better security, together: combining client knowledge, CyberProof expertise, platform-driven visibility, partner ecosystems, and AI-powered operations to continuously reduce risk.
Summary
The next wave of performance improvement will come from better exposure data, integrated context, and aligned workflows, not simply more detection volume or more tooling. For organizations, this means AEP and CTEM must become operational. Exposure management needs to connect directly into SOC workflows, remediation planning, threat intelligence, hunting, validation, and executive reporting.
CyberProof’s CDC Reveal360 helps provide the visibility and data foundation to operationalize CTEM. CyberProof’s Agentic AI framework helps accelerate the workflows that depend on that foundation, from threat profiling and detection engineering to hunting, triage, response support, documentation, and reporting.
Together, these capabilities help organizations move from reactive alert handling to continuous, exposure-driven security operations. They also reinforce a practical principle: AI delivers the greatest value when it is connected to high-quality data, governed by clear controls, and aligned to real business risk.
Next Steps
If you are a Gartner client, read Implementation Guide: Introduce Agentic AI Into Exposure-Driven SOC Workflows, Jonathan Nunez and Mitchell Schneider, 18 May 2026, to evaluate how the report’s roadmap applies to your organization.
Schedule a CyberProof discovery workshop to assess your current CTEM maturity, exposure data quality, SOC workflow alignment, and readiness for governed Agentic AI adoption.
Request a personalized CTEM-to-Agentic SOC readiness assessment to identify priority use cases, integration gaps, measurable quick wins, and a practical roadmap for improving security posture with CyberProof.
Gartner attribution: Gartner, Implementation Guide: Introduce Agentic AI Into Exposure-Driven SOC Workflows, Jonathan Nunez, Mitchell Schneider, 18 May 2026.
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