At RSA 2026, Tuskira introduced its latest innovation—the Federated Detection Engine—further enhancing its Agentic SecOps platform. This new capability empowers security teams to identify threats in real time across diverse environments, including cloud, identity systems, endpoints, networks, SaaS platforms, infrastructure, and even legacy SIEM systems. Notably, it eliminates the reliance on centralized logging, which has long been a bottleneck in modern cybersecurity operations.
Moreover, the Federated Detection Engine integrates seamlessly with Tuskira’s AI-driven alert triage agents. These intelligent agents continuously evaluate alerts generated by the detection engine, ensuring that security teams can prioritize genuine threats over noise. As cyber threats grow more sophisticated, this real-time, distributed detection approach becomes increasingly critical.
Traditionally, detection engineering has relied heavily on centralized log architectures and manual rule creation. However, this model is not only costly to scale but also slow to adapt to evolving cyberattack patterns. In contrast, Tuskira shifts the paradigm by deploying detection logic directly where the data resides. Consequently, organizations can reduce their dependence on SIEM systems, log pipelines, and manual rule management while improving detection speed and accuracy.
“Every second we delay, adversaries are using AI to accelerate their attacks,” said Piyush Sharma, Co-founder and CEO of Tuskira. “Our triage automation is worthless if detection can’t keep pace, and right now, it can’t. The most critical layer of our SOC remains manual and legacy-dependent. This isn’t a future problem. It’s happening now, and the window to act is closing. Tuskira removes the cost and aggregation constraints as detections happen where the data lives, signals are correlated through shared context, and AI triage continuously separates real threats from noise.”
In addition, the Federated Detection Engine connects with four key functions within Tuskira’s platform. First, it enables detection at the source, reducing centralized log storage costs while maintaining access to critical security signals. Second, the Security Context Graph correlates identities, assets, and attacker activities into a unified threat model, helping uncover advanced persistent threats (APTs) and potential breach paths.
Furthermore, the platform supports autonomous triage and investigation, continuously validating detections and minimizing false positives. This allows analysts to focus on high-priority risks instead of wasting time on irrelevant alerts. Finally, it facilitates response through existing security stacks, translating validated findings into actionable containment measures.
“Tuskira changed how our SOC operates,” said a Chief Information Security Officer at a global industrial enterprise. “Detections are no longer static, and our analysts spend less time chasing noise and more time focused on real threats. We also started seeing value quickly, without waiting months for a large-scale data migration or pipeline re-engineering.”
Overall, Tuskira’s latest launch marks a significant shift toward decentralized, AI-powered security operations, enabling faster, smarter, and more efficient threat detection in today’s complex digital landscape.
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