AnnouncementNetwork deception identifies attackers before they reach your critical OT systems. Digital twins, deception buffer zones, and decoy credentials expose reconnaissance, lateral movement, and credential abuse while generating intelligence from real attacker activity. The result is earlier detection, clearer context, and faster response. Securing OT environments often requires a different approach to traditional IT security. […] The post The Four Most Effective Network Deception Strategies for
AnnouncementCompare Thinkst Canary and Anantis TrapEye across deployment scalability, threat investigation workflows, SIEM integrations, and hosting options.
AnnouncementRansomware was present in 44% of all data breaches in 2025, up from 32% the year before. The average recovery cost now sits at $1.53 million. And yet most organizations are still defending against it the same way they always have: endpoint detection, perimeter controls, and signature-based alerts that fire after the damage is done. […] The post Best Ransomware Defense Platforms in 2026: A Security Leader’s Guide appeared first on CounterCraft.
AnnouncementWe pointed ten frontier models at a live AWS environment to see what canaries do against an autonomous attacker: how early they warn, how fast the models trip them, and what changes when the agent is told deception might be present.
AnnouncementExplore 10 common weaknesses, from excessive privileges and poor segmentation to weak MFA and unrestricted code execution, and learn how Advanced Deception adds an early threat detection layer that helps security teams identify attacker activity before it escalates.
AnnouncementWe put an autonomous AI agent against PacketViper AMTD in a controlled test. Four runs. Four containments. Zero data exfiltrated. The post We Let an Autonomous AI Agent Attack Our Network. It Lost. appeared first on PacketViper.
AnnouncementComparatif 2026 des meilleurs honeypot : Trapster, Cowrie, OpenCanary, T-Pot. Tests réels, avantages, limites et conseils pour choisir.
AnnouncementAI attacks are changing the speed and scale of modern cyber threats. As autonomous systems accelerate reconnaissance, vulnerability discovery, and attack execution, traditional security cycles struggle to keep pace. Discover how Advanced Deception can redirect AI-driven attackers, provide instant detection, and give defenders a strategic advantage in an increasingly autonomous threat landscape.
AnnouncementMost zero day detection strategies are really just zero day recovery strategies. By the time your team knows an edge device was compromised, the attacker has been inside your network for weeks. Obviously, doing forensics on a breach that has already finished is not ideal. This blog is about changing that timeline. During 2026 multiple […] The post Zero Day Detection on Edge Devices: Before the Exploit Reaches Production appeared first on CounterCraft.
AnnouncementHow Tracebit turns detection from an assumption into something you can actually prove. A practical mapping of security canaries across the six core functions of NIST CSF 2.0 - Detect, Respond, Govern, Identify, Protect, and Recover.
AnnouncementPacketViper announces Agent-Enhanced AMTD and Hive Auto-Immunity, extending preemptive moving target defense to the endpoint and the network simultaneously. Built on the same platform that stopped a rogue AI agent four times in four runs. The post PacketViper: Reconnaissance Now Fails on Every Surface appeared first on PacketViper.
AnnouncementEDR remains essential, but attackers can bypass endpoint defenses through techniques such as BYOVD and kernel-level attacks. When security agents are neutralized, visibility into lateral movement becomes critical. Discover how LABYRINTH uses Advanced Deception to detect suspicious activity beyond the compromised endpoint and give SOC teams more time to respond.
