Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Attackers are learning to target the moments when organisations are trying to be helpful, restoring access quickly while proving who deserves to be trusted again. Ajay Biyani, Senior Vice President, APJ, Securonix Identity conversations usually begin with the login because that is the moment everyone can see. It is where organisations concentrate passwords, MFA, device checks, and risk signals.

Aaron Beardslee, Security Researcher, Securonix Threat Labs As many of you have heard, OpenAI was running a cyber-capability evaluation against advanced models, including GPT-5.6 Sol and a more capable pre-release model with reduced cyber refusals. The environment was meant to be constrained and the model still brute forced through it.

How behavior-driven analytics can improve detection coverage, reduce SOC engineering work, and maximize the value of your Sentinel investment.

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.

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.

See how Securonix Threat Analytics helps security teams improve detection coverage, reduce SOC engineering work, and maximize Microsoft Sentinel ROI. Microsoft Sentinel provides a strong foundation for security operations. As environments grow more complex, detecting sophisticated attacks often requires extensive engineering, custom KQL development, and ongoing content maintenance.