ConFoo 2026: Guardrails for Agentic AI, Prompts, and Supply Chains
Read the takeaways from ConFoo 2026, including putting guardrails where requests happen, auditing tool calls, treat dependency updates like production access.
Security | Threat Detection | Cyberattacks | DevSecOps | Compliance
The Latest Cybersecurity News & Insights From Around The World
How does AI Pentesting Work with Compliance?
AI pentesting has been making waves and rivals the power of human hackers in ways we weren’t expecting. But frequently, companies are looking for pentesting to achieve and support their compliance certifications.
Beyond the Hype: Navigating the Security Risks and Safeguards of Generative AI Video
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.
AI Deepfakes & Laptop Farms: Inside the 2026 Cloudflare Threat Report
In this episode of This Week in NET, host João Tomé is joined by Cloudflare threat intelligence experts Brian Carter and Chris Pacey to break down the 2026 Cloudflare Threat Report and what it reveals about today’s cyber threat landscape. We discuss how threat intelligence helps organizations prioritize risks, how attackers are increasingly leveraging automation and AI tools, and why botnets, supply-chain attacks, and credential-theft campaigns continue to evolve.
AI Impact Summit 2026 Highlights | FinTech, AI & Data Security Insights #ai
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.
AI Agent Security Framework for Cloud Environments
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.
What Is AI Agent Sandboxing? Kubernetes-Native Enforcement Explained
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.
Access Your OpenClaw Web UI from Anywhere with 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.
AI's Identity Dilemma: 4 Camps, 1 Right Answer #ainews #cybersecurity
The industry has 4 answers to one question: what is AI — or who is AI? This clip covers the first two camps. Full interview with Ev Kontsevoy and Simon Moffatt (The Cyber Hut) dropping soon — camps 3 and 4 are where it gets interesting.
Entropy vs. Polymorphic Tokenization: Which One Actually Protects Your AI Pipeline?
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.