All blog posts
Updating Claude Code in Cursor Won't Remove the Backdoor
A tampered Claude Code extension on Cursor's marketplace planted an SSH backdoor that survives updates. What it does, what to check, and how to clean up.
Banks Can't Tell People From Their AI Agents. Can You?
US banks are finding AI agents signed in with customers' credentials. At work, coding agents act with employees' access. Attribute first, then scope.
Your AI Agents Are the Newest Insiders
78% of CISOs now count AI agents as insiders. Don't build a new program: extend insider-risk controls to agents, from access and data to exits and evidence.
Netra Joins Anthropic's Cyber Verification Program
Netra has joined Anthropic's Cyber Verification Program, so our team can use Anthropic's latest models for security work with fewer default restrictions.
GitHub Won't Fix It: Your Coding Agent Can Leak Your .env
Researchers got GitHub Copilot CLI to send out a .env file in 28 seconds. No single tool sees it. The signal is the file read and the data leaving, connected.
How to Secure AI Coding Assistants
AI coding assistants are no longer simple autocomplete. They act across repositories, terminals, logs, tools, and infrastructure. Securing them requires governing the full agent workflow, not just filtering prompts.
Why Traditional DLP Breaks in the GenAI Era
Traditional DLP watches files move across boundaries. GenAI changes the risk model: sensitive data now leaks through prompts, responses, agents, tool calls, context windows, and inferred meaning.
Vibe-Coding Cookbook: Applying SMART (SMARI) to Build Explainability in AI Coding
Applying SMART to Vibe-Coding is not about controlling AI—it's about building explainability so we know what we're building and when to stop.
Risk and Observability of AI Coding Assistants
AI coding assistants don't just generate code—they act. What's missing is observability of everything that happens between the prompt and the answer.
Solving DLP's Oldest Blind Spot: Screen Photography
Smartphones made it trivial to leak IP with a quick photo. Netra closes that gap with an AI-enabled approach.
Top Six GenAI Pillars for Content Classification of Modern DLPs
Modern DLP lives or dies on how well it classifies content. Keywords aren't enough—here are the six pillars for effective classification.
The Autonomous Future of Data Security (P5): Securing the Future of Data
Protection becomes an enabler, woven into how the business works—smart, explainable, and continuously learning.
The Autonomous Future of Data Security (P4): A Vision for the Future
The endgame is a unified, democratized, self-adapting platform—think 'Full-Self-Driving' for data protection.
The Autonomous Future of Data Security (P3): The AI-Powered Defense
AI gives us the tools to finally make DLP effective: understand meaning, infer intent, capture lineage, and act with guardrails.
The Autonomous Future of Data Security (P2): The New Threat Landscape
AI doesn't just add risk—it changes where and how data moves. Understanding the new threat surfaces: prompts, agents, and hidden AI states.
The Autonomous Future of Data Security (P1): The Paradigm Shift
Why traditional data security breaks in the AI era - exploring the shift from network and identity perimeters to AI-native data protection.
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