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- Cracks in the Core: VPN Weakness, IoT Leaks & Dataset Corruption
Cracks in the Core: VPN Weakness, IoT Leaks & Dataset Corruption
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Deception Technology Is Gaining Ground—But Needs Context
Honeypots, decoy credentials, and fake file lures are proving effective for early threat detection. However, without proper telemetry correlation, false positives can still waste resources.
Use deception tech as signal amplifiers—not silos. Integrate alerts with your SIEM, and baseline what “normal” interaction with decoys should look like.
Internal Email Trust Is Being Exploited in Thread Hijacking
Attackers are replying to existing internal threads using compromised accounts—mimicking tone, timing, and recipient groups to push malware or credential links.
Use anomaly detection for internal traffic, flag attachments in reply chains, and deploy DMARC + DKIM even for internal domains.
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Data Poisoning in AI Training Pipelines Is Spreading
Threat actors are injecting poisoned samples into public datasets and shared repositories—polluting future AI model training and leading to biased or unsafe outputs.
Scan training data for irregular patterns, verify dataset provenance, and use ensemble models to reduce the impact of corrupted training points.
IoT Devices Leaking Credentials via Debug Ports
Poorly secured smart devices are exposing SSH, UART, or debug interfaces—often with hardcoded credentials that allow full system access.
Disable debug interfaces in production firmware, scan for exposed ports, and restrict outbound traffic from smart devices to verified domains only.
VPN Concentrators Are Becoming Single Points of Failure
Centralized VPN appliances are high-value targets. If compromised, they grant broad lateral access and create a single outage point for remote teams.
Shift to zero-trust network access (ZTNA), distribute access points geographically, and isolate VPN credentials from SSO tokens where possible.
Security Awareness Content Is Getting Ignored
Click-through rates and test scores are improving, but actual behavior change is flattening. Many users tune out security training—especially when it feels generic or compliance-driven.
Introduce adaptive content based on role, prior behavior, and engagement metrics. Make training episodic, scenario-based, and contextually relevant
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