iOT365 has introduced a new multi-vector detection model designed to help critical infrastructure operators identify emerging post-quantum cyber threats that may evade conventional security tools. The framework correlates intelligence across network traffic, operational systems, hardware signals, industrial protocols, and remote access activity to detect previously unseen attack behaviors, addressing growing concerns that post-quantum threats could emerge without historical signatures, indicators of compromise, or recognizable attack patterns.
For decades, cybersecurity technologies have relied primarily on signatures, known indicators of compromise, threat intelligence feeds, and previously observed attack techniques. As adversaries gain the ability to automate reconnaissance, generate novel attack paths, and exploit previously unseen combinations of techniques, organizations responsible for critical infrastructure face a growing challenge: how to detect attacks that have no historical precedent.
“The most significant cyber threats of the next decade may not resemble anything we have previously encountered,” said Alexander Tartakovsky, founder and CEO of iOT365. “We believe the future of cybersecurity depends on understanding how operational environments normally behave and identifying when that behavior changes, regardless of whether the attack technique itself is known.”
Rather than relying solely on known attack signatures, the iOT365 Multi-Vector Detection Architecture continuously evaluates operational behavior across multiple intelligence sources. These include Layer-2 network behavior and identity changes, Layer-3 communication patterns, industrial protocol activity, vulnerability intelligence such as Common Vulnerabilities and Exposures (CVEs), threat intelligence covering malicious IP addresses, URLs, and file hashes, hardware and resource anomalies, operational process behavior, secure remote access activity, and AI-powered anomaly detection.
By correlating these signals simultaneously, the platform can identify attack behaviors that may not yet have signatures, threat intelligence indicators, or documented attack procedures.
Many advanced attacks begin with activities that appear benign when viewed independently, including unauthorized discovery activity, new network identities, unexpected engineering workstation communications, abnormal hardware utilization, unusual remote access behavior, or changes in controller communication patterns.
While any single event may not warrant investigation, correlating indicators across multiple operational layers can reveal the early stages of sophisticated attack campaigns.
During deployments within critical infrastructure environments, iOT365 identified coordinated sequences of anomalous activities involving unauthorized discovery behavior, unexpected engineering communications, abnormal hardware utilization, and new network identities. By correlating these indicators in real time, the platform generated actionable alerts that enabled investigation before operational disruption occurred.
To address one of the most frequently targeted attack surfaces in industrial environments, iOT365 integrates Secure Remote Access directly into its Multi-Vector Detection Architecture.
The capability provides centralized RDP, SSH, VNC, and web-based access management, session monitoring and recording, user activity auditing, and vendor access governance. By treating remote access activity as an additional intelligence source, the platform correlates user behavior with operational, network, and hardware events to provide a more complete view of potential threats.
The iOT365 platform combines OT IDS, SIEM, SOC Operations, Compliance Intelligence, Secure Remote Access, and AI-powered behavioral analytics within a unified architecture designed to strengthen resilience against both current and emerging threats.
Currently deployed across critical infrastructure environments, including power generation facilities, iOT365 helps operators improve visibility, accelerate detection, and strengthen cyber resilience without interrupting industrial operations.
