TCP 143: Cursor Goes Post-Access, Echo Picks Up Key Minimus Assets, and 700 Agents Coordinate

Andrew Richards introduces The Cybersecurity Pulse with insights on AI security, governance, and emerging threats, while highlighting how agentic AI is increasingly shaping both attacker tradecraft and defender priorities. The newsletter also covers infrastructure takedowns, emergency patching, verifiable AI logging, and new funding for companies building security and identity controls for autonomous systems. #CursorAgent #ClaudeSonnet4_5 #Aurora #Minimus #Echo #QScan #QTRouter #TRACE #PaperCutMF #PaperCutNG #Citrix #Alice #ActiveFence #Socure #Fravity #Kazimi

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The Missing Context Layer for AI Agents in Large Enterprise Codebases

AI coding agents in large codebases need more than local code access; they need continuously updated organizational context about services, APIs, consumers, and sensitive dataflows to make safe changes. The article argues for deterministic static analysis plus MCP delivery as a shared evidence layer for AI coding, privacy, compliance, security, SOC investigations, and AI governance. #Anthropic #ClaudeCode #MCP #HoundDogai #Replit #OpenAI #LangChain #ISO42001 #FedRAMP

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August at Decoded Security: New Tools, Big Milestones, Free Premium

Erich from Decoded Security shares a monthly update highlighting August growth across newsletters, Threads, Instagram, Facebook, and interactive browser-based security tools like the port scanner, Linux sandbox, and DNS simulator. He also promotes a collaboration with Tim from GuardingPearSoftware, invites readers to suggest future topics, and announces a 14-day free trial for Decoded Security Premium. #DecodedSecurity #GuardingPearSoftware #Tim #ErichWinkler

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Security Through Obscurity Is Running Out of Time

AI agents are making security through obscurity less effective by cheaply inspecting software, APIs, and authorization logic while trying to complete everyday tasks. The article shows how this can expose hidden flaws in systems like gym booking apps and vibe-coded applications, where weak controls and missing authentication are increasingly discovered at scale. #OpenClaw #Claude #Affinda #RedAccess #WIRED

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What to Build in Cybersecurity in 2026 — Part 1: Hardware, Networks Effect, and Cryptography

AI is making software faster and cheaper to build, so durable cybersecurity companies in 2026 will need moats that AI cannot easily replicate. The article argues that hardware, deep cryptography, and trusted practitioner networks can create lasting value through atoms, trust, certification, and real-world community effects. #Utimaco #Entrust #PS3 #Sony #Intel #AMD #ARM #C2ISAC #DEFCON #GreyHack #CCC

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The AI Supply Chain Is Getting Weird [Monthly Guest Post]

Data poisoning targets AI systems during training by corrupting datasets or models, allowing attackers to embed backdoors, mislabeled data, or hidden behaviors that can survive deployment and evade standard benchmarks. The article explains how public model repositories, third-party datasets, fine-tuning pipelines, and RAG sources expand the AI supply chain risk, and highlights controls such as provenance checks, red-teaming, and an AIBOM. #HuggingFace #JFrog #PoisonGPT #Mercor #OWASPLLMTop10 #AIBOM

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[Guest Post] You Cannot Make a Game Unhackable. Here Is What “Good Enough” Security Actually Means.

This article explains why making a game “unhackable” is the wrong goal and shows how cybersecurity concepts like residual risk, threat modeling, and risk treatment apply in the gaming industry. It emphasizes that developers should protect what matters most, such as revenue, purchases, and multiplayer fairness, while accepting or mitigating the risk that remains on a player-owned device. #GuardingPearSoftware #TimUhlott #Unity

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Why Threat Intelligence Needs OT Context to Protect Critical Infrastructure

OT threat intelligence helps critical infrastructure operators turn broad security data into actionable insights by adding asset, protocol, and operational context. In energy-sector environments, solutions like OMICRON Threat Intelligence and StationGuard help teams determine whether vulnerabilities, alerts, and communications are relevant to their specific OT systems. #OMICRON #StationGuard #IEC61850 #IEC60870-5-104 #MITREATTCKforICS

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Privacy & Cybersecurity #84

The FTC proposed a policy targeting personalized pricing practices that use consumers’ personal data without clear disclosure, while Washington’s Attorney General urged stronger statewide privacy protections and a new data broker regime. In Europe and Canada, Germany’s BfDI pushed for EU-wide cookie manager rules, the Dutch DPA fined Uber €824.99 million over automated driver deactivations, and Ontario issued updated guidance on police drone surveillance. #FTC #NickBrown #BfDI #Uber #AutoriteitPersoonsgegevens #OntarioIPC

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TCP 142: Taiwan Hit by AI-Assisted Attack, OpenAI’s Training Pause, and .74B in Capital

The Cybersecurity Pulse covers major developments including Taiwan’s AI-assisted intrusion campaign, OpenAI’s tightened safety controls after the Hugging Face incident, and new threat activity involving Siemens industrial controllers, a Windows zero-day used by Lazarus, and active exploitation of MLflow. It also highlights vendor and market moves such as Google Cloud’s post-quantum roadmap, Signal’s automatic key verification, Fortinet’s acquisition of Virtue AI, Cribl’s purchase of Radiant Security technology, and Mindgard’s $30 million funding round. #Taiwan #OpenAI #HuggingFace #Siemens #Lazarus #MLflow #GoogleCloud #Signal #Fortinet #VirtueAI #Cribl #RadiantSecurity #Mindgard

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CoT Forgery: Prompt Injection on the Model’s Own Thoughts

AI agents often rely on labels to separate users, tools, webpages, and internal reasoning, but models may still infer authority from the text itself rather than the role tag. This role confusion can help explain why prompt injection works, because malicious content inside tool outputs may be treated like legitimate instructions by the model. #ChatGPT #Claude #promptinjection

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Stealing an AI’s Thoughts Without Breaking The Encryption

Researchers showed that encrypted reasoning traces from proprietary LLM APIs can be recovered by replaying them through weaker compatible models, without breaking the encryption itself. The study also found that hidden reasoning blocks can leak secrets, including API keys and passwords, and can even carry malicious instructions that affect later model behavior. #Claude #GPT #Gemini #Haiku #GPT-5.6 #GeminiRobotics #StealingReasoningTracesfromProprietaryLLMAPIs

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