StellerSight Research publishes original threat intelligence, technical analysis, and strategic security insights from our labs and field operations.
Machine learning is no longer just a defensive tool. Adversaries are weaponizing AI to generate polymorphic malware, automate target reconnaissance at scale, craft hyper-targeted spear-phishing, and bypass traditional detection systems. This research examines the six primary AI attack vectors observed in 2025–2026 and provides a framework for building AI-resistant security postures.
Zero-trust is one of the most misunderstood frameworks in enterprise security. This guide cuts through the marketing and provides a concrete, phased implementation roadmap for hybrid cloud environments.
Autonomous aerial systems equipped with computer vision and edge-AI are redefining perimeter security. We analyze current capability levels, detection accuracy benchmarks, and deployment frameworks for high-security installations.
UEBA has matured significantly. This technical analysis covers modern behavioral baseline modeling, statistical divergence thresholds, and the challenge of reducing false-positive rates in enterprise environments with thousands of users.
Adversary tactics, techniques, and procedures are evolving faster than defensive teams can adapt. This red team research paper documents emerging attack patterns, social engineering advances, and the insider threat vectors most likely to succeed against hardened organizations.
Advanced Persistent Threat actors increasingly target Indian banking and financial institutions. This intelligence brief documents observed TTPs, infrastructure indicators, and detection strategies specific to the Indian threat landscape.
As India's digital infrastructure expands, the gaps between current regulatory frameworks and actual threat exposure grow wider. This policy analysis examines CERT-In guidelines, NCIIPC mandates, and what effective critical infrastructure protection demands at the technical level.
Large language models are entering enterprise workflows at speed — and attackers are learning to exploit them. We document prompt injection attack chains, model inversion risks, and practical guardrails for secure LLM deployment.
Misconfigured cloud resources remain the leading cause of enterprise data breaches. This analysis covers CSPM tooling, policy-as-code implementation, and the organizational processes required to maintain compliant posture across multi-cloud deployments.
The proliferation of commercial drones as threat vectors demands a technical response. This paper covers RF-based detection, AI-driven classification, and spectrum-aware countermeasure systems for protecting sensitive installations from unauthorized aerial access.
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