Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Threat Analytics for Microsoft Sentinel

Microsoft Sentinel gives security teams a strong cloud-native foundation. Securonix Threat Analytics extends that foundation with behavior-driven analytics, AI-driven correlation, risk-based prioritization, and continuously curated threat intelligence, without replacing your SIEM, duplicating data, or disrupting existing workflows. Organizations use Securonix to improve detection coverage, accelerate investigation and response, and maximize Microsoft Sentinel ROI.

Getting More Detection Value from Microsoft Sentinel

Detection engineering has become one of the least questioned costs in the modern SOC. Teams write queries, tune thresholds, maintain exceptions, and build enrichment logic because that work has gradually become part of running Microsoft Sentinel. While necessary, it still relies heavily on manual effort. Microsoft Sentinel gives security teams a strong foundation for collecting telemetry, investigating incidents, and orchestrating response.

June Threat Intelligence Spotlight Report

Each month, our Cyber Threat Intelligence team compiles data from our engagements to determine key industry trends. We look at the initial access methods threat actors are using to gain entry into a network, types of incidents most commonly impacting organizations, which sectors are being more heavily targeted, and which threat groups are most prevalent.

How Geo-Targeted Attacks Evade Detection

The era of spray-and-pray cyberattacks is effectively over. Modern threat actors do not launch global, noisy campaigns. They launch highly localized, surgical strikes. They analyze regional vulnerabilities. They deploy localized phishing lures. Most importantly, they perfectly mimic local network traffic. When an attack originates from an IP address that your security perimeter explicitly trusts, traditional alarms stay silent. This is the core danger of geo-targeted evasion.

Deploying Microsoft 365 Policy Management in Complex Environments

Achieving regulatory compliance across a modern enterprise requires a reliable strategy for Microsoft 365 policy management. In complex organizational structures, simply storing documents in cloud libraries is not enough; organizations must actively distribute, track, and verify that critical policies are read and acknowledged. Implementing purpose-built Microsoft 365 policy management ensures your compliance processes transition from passive document storage to an automated, audit-ready policy management system natively integrated into your existing workspace.

CRQ Platform Comparison for Financial Services Organizations

‍Cyber risk quantification (CRQ) has moved from optional to operational in financial services. The average cost of a data breach in the sector reaches $5.56 million, and regulatory mandates including DORA, NYDFS Part 500, and SEC cyber disclosure rules demand quantified, defensible loss exposure figures the finance function can act on. ‍

The Top AI Agent Security Vendors of 2026: A Buyer's Guide

Enterprise buyers evaluating AI agent security in 2026 face a market that has fragmented into specialized categories, each solving one layer of the problem well and other layers poorly. Identity vendors govern non-human credentials. Runtime vendors constrain what agents can do at the moment of execution. Established security platforms extend their existing offerings into the agentic space. ‍

Attribute Based Access Control: A 2026 Guide

You're probably already living with the problem this model was built to solve. A finance analyst logs in late from a personal laptop, opens a payroll export, and the old role rule says the request looks fine because the person belongs to the right team. The access engine never asks whether it's midnight, whether the device is managed, or whether the file is sensitive enough to deserve a second look.

The Anatomy of a Pentest: Where Does AI Change the Game?

Two weeks ago I sat in on a webinar where CyCognito’s founders walked through continuous AI pentesting. The framing stayed with me: the pentest itself has not changed, only who runs each part of it. AI has reached nearly every corner of cybersecurity, and pentesting is no exception. The promise is an agent that probes applications, uncovers flaws scanners miss, and delivers a report before a human tester has finished scoping the engagement.