Managed Detection & Response
Cross-Stack Security Analytics & Federated UEBA
Breaking the Data Centralization Tax: Unified Analytics Without the Storage Bill
Traditional security analytics platforms make a compelling promise:
Unified visibility across your users, identities, and core business applications.
In practice, however, these platforms routinely become underutilized software silos because stretched security teams lack the operational capacity to maintain them.
Compounding this operational friction is a steep architectural penalty: the data centralization tax. Legacy structures force you to copy, duplicate, and move massive streams of cloud, SaaS, identity, and application telemetry into a single, massive repository before any analytics can run. This drive toward absolute centralization results in runaway ingestion bills, tool sprawl, and severe analyst fatigue.
Meanwhile, modern adversaries and insider threats exploit these fragmented visibility gaps. They deliberately balance their actions across distinct infrastructure domains—combining subtle behavioral anomalies across an active identity, a cloud database, and a SaaS app—knowing that disconnected, rules-based systems will fail to correlate the signals.
The Cost of Forcing Centralization
Verbose application and cloud-native audit logs can be up to 10x more detailed than standard server logs. Forcing your team to pay premium SaaS SIEM rates just to store raw, duplicate text for behavioral profiling creates a compounding financial drain that limits your detection scope.
Federated Analytics:
Zero Data Duplication, Maximum Threat Context
ProCern’s MDR Platform resolves this architectural bottleneck by applying a federated, model-agnostic computing model. Instead of forcing you to absorb the financial penalty of centralizing raw data sets, our platform applies deep behavioral and semantic analysis to multi-signal telemetry right where it naturally sits.
By analyzing live streams across your endpoints, cloud service providers, and SaaS backbones in a decentralized manner, ProCern connects weak signals across multiple domains simultaneously—delivering true cross-stack User and Entity Behavior Analytics (UEBA) without the data centralization tax.
High-Impact Hazards Resolved by ProCern MDR
Traditional monitoring focus areas leave the application and identity layers unprotected. ProCern’s MDR Platform transforms security analytics from a passive reporting tool into an active, automated defensive framework designed to target complex operational risks:
Insider Risk & Malicious Privilege Misuse
The Problem
Rules-based systems fail to detect credential compromise, account takeovers, or trusted internal users who exploit their access to systematically harvest corporate data.
The ProCern Solution
Our platform establishes multi-dimensional behavioral baselines for user accounts and corporate assets. It applies security-focused semantic reasoning to detect complex privilege escalation patterns, unauthorized file access, and out-of-norm data exfiltration paths that standard signature engines ignore.
Application-Layer & Software Supply Chain Exposure
The Problem
Modern development scales rapidly, but application security scanning tools remain deeply fragmented, dropping disconnected vulnerability outputs without clarifying real-world business risk.
The ProCern Solution
ProCern maps application telemetry, runtime security events, and unauthorized API access patterns straight against live environmental context. This enables our platform to prioritize vulnerabilities based on active exploitability and real-world exposure rather than generic CVSS numbers.
Shadow IT & Compliance Data Sprawl
The Problem
Stifling user behavior with rigid, static security blocks disrupts core business velocity, while failing to monitor data movement creates immediate regulatory compliance exposure.
The ProCern Solution
By dynamically parsing user activity patterns across cloud tools (like Google Workspace, Okta, and cloud databases), ProCern provides continuous, non-disruptive visibility into where sensitive data travels, ensuring data protection mandates are continuously satisfied.
Human-in-the-Loop (HITL) Governance:
Defending Business Context and User Privacy
Analyzing identity and behavioral telemetry requires a high degree of precision, contextual care, and privacy compliance. Purely automated AI models operating in isolation lack the human nuance required to distinguish between a malicious insider and a senior engineer executing an emergency data migration under a tight deadline.
To protect your business from disruptive false positives and incorrect automated containment actions, ProCern’s solution enforces an expert Human-in-the-Loop (HITL) model.
Our federated platform handles the complex, multi-tenant mathematical heavy lifting—utilizing Domain-Specific Language Models (DSLMs) and Knowledge-Graph Augmented Generation (KGAG) to filter noise and link disparate entities.
However, every critical behavioral escalation is directly audited, contextually enriched, and validated by the veteran security engineers inside ProCern’s 24/7/365 US-based SOC. This ensures that your team receives only highly validated, actionable threat insights that protect your organizational resilience without violating employee privacy boundaries.
Measurable Value:
Fragmented Sourced Tooling vs. ProCern Analytics
Siloed Analytics Architecture
ProCern Cross-Stack Managed Service
Data Architecture
Heavy duplication; expensive centralization tax applied to verbose application logs.
Threat Visibility
Limited to rule-based tools that fail when adversaries chain domain signals.
Resource Demands
Requires dedicated internal analyst pods to manage tool upkeep.
Defensive Agility
Static, rigid policies that disrupt legitimate developer and user operations.
Data Architecture
True federated analytics; inspects data natively at the storage layer.
Threat Visibility
Unified attack narratives stitched dynamically using advanced KGAG context.
Resource Demands
Delivered as a complete outcome with zero increase in internal headcount.
Defensive Agility
Adaptive, context-aware risk scoring that molds to specific user roles.
Complete Multi-Signal Interoperability
ProCern's MDR platform connects directly across your existing security tool investments without requiring any architecture overhauls. We pull, normalize, and score behaviors from:
Identity Infrastructure
Okta, Azure AD, and Core IAM setups.
Cloud & SaaS Footprints
AWS, Azure, GCP CloudTrail, Google Workspace, and specialized cloud datastores.
Downstream Controls
EDR platforms, WAFs, and application-layer code repositories.