Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

knowbe4

AI-to-AI Communication and Secret AI Code Must Be Stopped At All Costs

Mar 9, 2026 By Roger Grimes In KnowBe4
As I wrote in my recent book, How AI and Quantum Impacts Cyber Threats and Defenses, as we humans use AI more and more, AI will begin to communicate with itself using new AI-only communication methods that humans cannot easily see or read. If there is no human-readable audit trail or code, this is a very, very bad thing. It must be stopped at all costs. Humans are absolutely beginning to use AI more and more to do things they used to do manually. Soon, we will all be using multiple AI agents.
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Beyond the Hype: Navigating the Security Risks and Safeguards of Generative AI Video

Beyond the Hype: Navigating the Security Risks and Safeguards of Generative AI Video

Mar 9, 2026 By SecuritySenses In SecuritySenses
The rapid evolution of generative AI video models, such as Seedance 2.0, Kling 3.0 and OpenAI's Sora, has unlocked unprecedented creative potential. However, for cybersecurity professionals, these advancements represent a significant expansion of the corporate attack surface. In an era where "seeing is no longer believing," the integration of synthetic media into the enterprise workflow demands a rigorous security framework. This article explores the dual nature of AI video: the sophisticated threats it enables and how modern, enterprise-grade platforms are architecting defenses to mitigate these risks.
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AI Impact Summit 2026 Highlights | FinTech, AI & Data Security Insights #ai

Mar 6, 2026 By Protecto In Protecto
AI Impact Summit 2026 Highlights | AI, FinTech & Data Security Insights from Delhi This video covers our 5-day experience at AI Impact Summit 2026 in New Delhi, one of India's leading technology events focused on Artificial Intelligence, FinTech, Data Security, and Compliance. During the summit, we connected with industry leaders, CISOs, FinTech professionals, and AI innovators, discussing the latest developments in data protection, AI governance, cybersecurity, and enterprise AI adoption.
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armo

AI Agent Security Framework for Cloud Environments

Mar 6, 2026 By Ben Hirschberg In ARMO
Your security team has done the homework. You’ve built a risk taxonomy covering agent escape, prompt injection, tool misuse, and data exfiltration. You’ve mapped those threats against your agent architecture’s seven layers. You’ve classified your agents by autonomy level — separating read-only chatbots from fully autonomous workflow agents that can book meetings, modify databases, and invoke other agents. The risk assessment is thorough.
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armo

What Is AI Agent Sandboxing? Kubernetes-Native Enforcement Explained

Mar 6, 2026 By Shauli Rozen In ARMO
You’re in a Slack thread at 9 AM on a Tuesday. A developer is asking why their LangChain agent can’t reach an external API anymore. You wrote the NetworkPolicy that blocked it. But you also can’t explain why you wrote that specific rule—because you wrote it based on what you guessed the agent would do, not what it actually does. You don’t have behavioral data. You don’t have an observation period.
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Access Your OpenClaw Web UI from Anywhere with Teleport

Mar 6, 2026 By Teleport In Teleport
OpenClaw’s web UI gives you full control over your personal AI agent, but exposing it publicly creates significant risk. In this video, I show how to securely access the OpenClaw web interface from anywhere using Teleport, without opening inbound ports or relying on public instances. You’ll see how to put the OpenClaw UI behind identity-based access, approve devices, and keep full admin control while staying locked down.
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protecto

Entropy vs. Polymorphic Tokenization: Which One Actually Protects Your AI Pipeline?

Mar 6, 2026 By Protecto In Protecto
If you’re building AI applications that touch sensitive data, tokenization isn’t optional. It’s the layer that decides whether your pipeline leaks PHI, PII, or financial data to your LLM, or keeps it protected. But here’s where most teams stop thinking: not all tokenization is the same. Two approaches you’ll encounter most often are entropy-based tokenization and polymorphic tokenization. They sound similar. They serve completely different purposes.
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protecto

What is Data Masking

Mar 6, 2026 By Ashish Kamathi In Protecto
AI adoption is growing fast. But so are data risks. From Samsung’s internal code leak via ChatGPT to chatbot failures at global brands, recent incidents show one thing clearly: sensitive data can escape in unexpected ways. Most breaches today are not traditional hacks. They happen through AI tools, prompts, and automation workflows. This is why understanding what data masking is is critical. It helps organizations protect sensitive information without slowing innovation or breaking AI accuracy.
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