Presentation: Exploding GPUs
Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, cove…
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Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, cove…
Software supply chain security company Chainguard has announced two beta products for running and testing code written by developers and AI agents.…
Meta has extended Private Processing to AI glasses, using confidential VMs, trusted execution environments, remote attestation, anonymous credential…
Cloudflare placed frontier AI models inside a controlled testing harness to probe its Web Application Firewall (WAF), using blocked attacks as start…
Archestra released OpenAPPA, an open-source security engine designed to stop data exfiltration caused by prompt injection or model hallucination. Th…
A recent article by Anil Madhavapeddy argues that AI agents can turn publicly available clues about software vulnerabilities into working exploits,…
Ben Maraney shares how Forter demystified AI agent creation for technical and non-technical staff. He discusses leveraging custom MCP servers, combi…
Docker Cloud Sandboxes provide secure, hosted execution environments for running AI coding agents on Docker-managed infrastructure. Built on hardwar…
In this episode, Sahil Agarwal talks about the critical challenges of identity, authorisation, and security in the age of AI agents. Sahil introduce…
Traditional virtual machines are inadequate for isolating cyber-capable autonomous agents. Tests using GPT-5.6-Cyber indicated multiple escape attem…
The engineering team at software company Figma recently documented how they built AI agents to help their security team investigate alerts, search p…
In a recent research paper, Google introduced Beyond Zero, a “security model for the AI era” that extends Zero Trust to autonomous AI agents. The ne…
DoorDash has moved engineering agent workloads from developer laptops to its Flux cloud platform. The platform automated 130,000 engineering tasks i…
James Hall discusses the strategic and technical imperative of moving AI workloads from cloud providers to local edge devices. He shares practical a…
Fabiane Nardon shares how TOTVS prepares enterprise data for token-hungry AI agents. She discusses balancing deterministic logic and non-determinist…
Microsoft has outlined an AI governance architecture spanning nine governance domains and four functions: policy, control, visibility, and proof. Th…
Cloudflare recently open-sourced Cloudflare OS. It allows enterprise teams to output work artifacts grounded in enterprise knowledge, know-how, and…
Architecture is not a fixed choice made once; fitness is a moving target driven by changing regulations, tech, and markets. Even a sound design can…
WhatsApp is testing Scam Alert in limited beta, using on device machine learning to detect potential scam messages from non contacts. Meta's archite…
Jordan Nanos discusses how semiconductor constraints, data center expansion, and networking bottlenecks impact AI software architecture. Drawing fro…
This article presents a defense-in-depth approach for securing Model Context Protocol (MCP) deployments in production. It outlines four architectura…
Traditional API gateways assume deterministic services and simple schemas - assumptions agentic AI breaks. Discover why enterprise engineering leade…
Anthropic detailed the containment architectures it uses for Claude across its products. It argues that agent safety depends on placing deterministi…
Google Cloud has published a new blueprint setting out how organisations should secure artificial intelligence workloads running on Google Kubernete…
InfoQ has opened enrollment for three five-week online certification cohorts starting in August, each led by a senior practitioner applying QCon tal…
Google and industry partners announced Agentic Resource Discovery (ARD) Specification, an open standard for publishing, discovering, and verifying A…
This virtual panel brings together AI security experts to examine the evolution of AI-driven threats, from prompt injection and data poisoning to ag…
Grab's security team built Palana, a Kubernetes-native secure execution platform, to run autonomous AI agents safely. Unlike deterministic software,…
In this article, the author explores data poisoning as a threat to machine learning systems, covering techniques such as label flipping, backdoors,…
In a new Windows Developer Blog post titled "Windows platform security for AI agents", Microsoft positions Windows as the trustworthy operating syst…