Modern threat detection has outpaced the capabilities of traditional log management. Throughout the opening months of 2026, Sagetap’s network of security practitioners launched an influx of initiatives focused specifically on Threat Detection & Response (TDR). This surge reflects a definitive pivot toward automated response systems and the intelligent correlation of fragmented data.
Verified Sages report that manual investigation is no longer sustainable; instead, they are prioritizing solutions that provide deep context for how security signals move through an increasingly automated lifecycle.
Inside the Initiatives: How Sages Are Modernizing Detection
These four high-impact projects, led by security executives at global organizations, demonstrate how the industry is moving toward a model of "agentic" and AI-centric protection.
Scaling SOC Operations with AI-Driven Managed Detection (MDR)
A security executive at a large software company is currently deploying AI-driven SOC automation. Working with an understaffed team, the objective is to close visibility gaps in application and API traffic within a 100% AWS environment to manage high alert volumes without needing more headcount.
Use Cases
Analytics & Insights
Managed Detection and Response (MDR)
SOC Automation
Threat Detection & Protection
Deploy AI-driven SOC automation and managed detection and response (MDR) to strengthen our threat detection capabilities and reduce manual alert triage. Our SOC team is understaffed and we have significant visibility gaps in application and API traffic. We need AI and automation to scale detection and response without requiring proportional headcount growth.
Products Considering: SolCyber MDR + +
Modernizing Incident Response via SIEM + SOAR Consolidation
A security leader at a global retailer is replacing their legacy Splunk environment to overhaul their SIEM and incident response capabilities. This project focuses on scaling telemetry ingestion across both public cloud and physical data centers while automating every response workflow to remove the potential for human error and eliminate the "data tax" of traditional logging.
Use Cases
Automation
Incident Response
SIEM
SOAR
Threat Detection & Protection
We are evaluating options to modernize our SIEM and Incident Response capabilities by assessing SIEM and SOAR platforms that can 1) Improve overall threat detection 2) Completely automate response workflows 3) Scale telemetry ingestion across public cloud, data center, and branch sites. 4) Strong threat detection over OT and IoT Environments 5) Automated SOAR playbook execution 6) SOAR integration to NGFW, EDR, other action taking devices. The goal is to improve detection engineering, reduce false positives, reduce manual SOC effort and human errors, and support SIEM+SOAR better integration with existing security tools.
Products Considering: Daylight
Centralizing Security Intelligence with Next-Generation SIEM
At a major internet firm, a security operations exec is building an intelligent, scalable platform to centralize logs and security data. The focus is on using advanced analytics and AI to identify genuine threats faster and trigger automated responses across cloud and on-prem environments.
Use Cases
AI & Automation
AI Security
SIEM
SIEM Migration
Build an intelligent, scalable security platform that centralizes logs and security data, uses advanced analytics and AI to detect real threats faster, reduces false positives, and enables automated response - ultimately improving visibility, decision-making, and overall cybersecurity resilience across cloud and on-prem environments.
Products Considering: Daylight
Building a Greenfield Agentic SOC from Day One
A cybersecurity practitioner within the gaming industry is currently establishing a greenfield security operations center. Their roadmap integrates AI-driven capabilities immediately to ensure scalability, with a specific focus on utilizing AI agents for Tier 1 triage and incident reporting.
Use Cases
AI for SOC Automation
Asset Management
Analytics & Insights
Threat Intelligence & Protection
My organization is currently in the process of building a greenfield Security Operations Center (SOC). Our strategy is to integrate AI-driven capabilities from day one to ensure operational efficiency and scalability. We are actively looking for vendors with AI or Machine Learning solutions that can streamline our security services, specifically in the following areas: Process Automation: AI agents or tools to handle Tier 1 triage, alert correlation, and reduce "noise" (false positives). Operational Efficiency: Generative AI ("Copilots") to assist analysts with incident summarization, reporting, and natural language queries. Service Enhancement: Tools that can analyze telemetry to detect anomalies (UEBA/NDR) more effectively than static rules. Goal: We want to minimize manual workload and improve our Mean Time to Respond (MTTR) by leveraging the latest AI technologies.
Products Considering: ManticoreAI, Pluto Security, Highflame, Prophet Security, Gist Security, Vibe AI, Acuvity, Akto, Tidal Cyber, watchTowr, Tonic Security, Amplifier Security, ORION Security, VISO TRUST, Vorlon, Ray Security, Malanta.ai, Thoropass, RunReveal, Sevco, Ovalix Security, SlashID, CeTu, Netacea Ltd, Socket, IRONSCALES, Axonius
Top TDR Vendors Sages Have Evaluated in Q1 2026
Based on recent TDR initiatives, three vendors frequently appear in evaluation cycles for their specialized automation and telemetry handling.
Daylight's agentic services eliminate security blind spots by integrating directly with an organization's stack to ensure coverage across cloud infrastructure. Unlike traditional MDRs, Daylight uses mission-aware agentic AI to automate Tier 1 triage and context-heavy investigations at a scale that elite human teams alone cannot match.
What Sages evaluated it for: Incident response automation, scaling telemetry for hybrid clouds, and deploying agentic SOC capabilities to lower manual triage burdens.
Gravwell is a data fusion platform that lets security teams analyze any data type without needing structured schemas. It provides the visibility necessary for modern threat hunting in fragmented environments while avoiding the heavy costs of legacy SIEM architectures.
What Sages evaluated it for: Consolidating fragmented security stacks, redesigning core architecture, and making log analysis cost-effective at scale.
Intezer simulates the decision-making of a human analyst to automatically investigate every alert and provide a clear verdict. By moving from simple detection to autonomous investigation, the platform allows understaffed teams to focus on verified threats.
What Sages evaluated it for: Solving alert fatigue, automating alert investigation, and delivering fast triage and summarization for the SOC.
Sages' Key Consideration Factors
When vetting new TDR tools, practitioners are looking for technical efficiency and platform integration rather than sticking with legacy vendors.
- Feature-Rich Automation: In over 70% of 2026 activity, Features and Support were the top deciding factors. Sages are prioritizing automated playbooks and AI-driven correlation.
- Low-Overhead Integration: There is a heavy preference for vendors providing deep API-level integration with current stacks to cut through operational noise and speed up remediation.
- Explainable AI: Security leaders need AI solutions that provide context for their decisions. Black-box verdicts are being rejected in favor of explainability that supports real investigation.
Bottom Line
The move toward autonomous detection and response is unfolding in real-time within the Sage community. The current market heavily favors solutions that can handle the unique pressures of the modern enterprise—shifting from platforms that merely flag problems to those that can investigate and solve them autonomously.
Want to see the specific requirements and evaluations for your peers' threat detection & response initiatives?
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