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Reduce MTTR with SaiFlow's AI-Powered Threat & Incident Assistant for Energy Runtime Security

Security teams protecting energy infrastructure face a critical blind spot: they can see network anomalies, but without energy context, they can't tell if an alert is a real attack or operational noise. SaiFlow's Threat & Incident Assistant bridges that gap in under 40 seconds, delivering AI-powered verdicts, evidence, and prioritized response actions that shrink your exposure window when every minute counts.

Latest insights and industry updates

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Custom Detection Rules with Energy Context: Securing Your Unique Operational Patterns

SaiFlow's new Custom Rule Engine empowers security teams to build visual, drag-and-drop detection rules that correlate network protocols with energy telemetry, enabling organizations to protect against threats unique to their specific infrastructure and operational patterns.
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ABB Terra AC Buffer Overflow Vulnerability (CVE-2025-5517)

The SaiFlow research team has uncovered a buffer overflow vulnerability in ABB Terra AC chargers, that compromises system integrity. We have demonstrated how we can trigger Denial-of-Service (DoS), making the charger inoperative and unresponsive. The vulnerability could potentially be exploited to achieve RCE. Exploitation of the vulnerability requires MITM capabilities with unencrypted communication, or a compromised Charging Station Management System (CSMS).
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SaiFlow and Palo Alto Networks Partner to Deliver Contextual Asset Visibility and Risk Management for Distributed Energy Networks

SaiFlow and Palo Alto Networks have partnered to integrate the SaiFlow Energy Runtime Security Platform with Palo Alto Networks OT Device Security solution.
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Why Contextual Cybersecurity Matters in Energy Networks

Energy networks separate network security data and energy operational data into silos. Security teams see cyber activity, operators see power performance. This division creates blind spots where threats hide until major incidents occur. Protection requires unified visibility.
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From the EV Charging Station to the Vendor’s Inbox: The Risk of Hardcoded Credentials

During our analysis of a commercially available DC fast charger, SaiFlow’s research team uncovered a critical security flaw with immediate real-world consequences
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SaiFlow and Fortinet are Strengthening Cybersecurity for EV Charging and Distributed Energy Networks 

SaiFlow and Fortinet have partnered to deliver a unified cybersecurity solution tailored for EV charging stations and distributed energy networks, by combining SaiFlow’s contextual, energy-aware anomaly detection with Fortinet’s zero-trust network fabric and automated enforcement