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How Faster Inference Gives Cybersecurity Companies an Edge

Discover how faster AI inference helps cybersecurity teams improve threat detection, AI security, validation, and response without sacrificing speed.

AI-powered fuzzing with the GitHub Security Lab Taskflow Agent

In this blog post, I explain how to use the new fuzzing taskflow based on the GitHub Security Lab Taskflow Agent AI framework. The post AI-powered fuzzing with the GitHub Security Lab Taskflow Agent appeared first on The GitHub Blog .

Manage Kubernetes Node Fleets with NodeWright

Kubernetes manages what runs on your nodes. Managing the nodes themselves is the challenge: kernel settings, system packages, storage layouts, security agents,...

How Tata Elxsi detects industrial safety risks in seconds on AWS

Learn how Tata Elxsi built IRIS, a real-time industrial safety platform on AWS. IRIS filters camera video at the edge, streams metadata through Amazon Kinesis, runs computer vision on Amazon SageMaker AI, and correlates detections into high-confidence alerts, detecting unsafe conditions in seconds instead of minutes.

Priorities and principles for effective third party assessments

OpenAI outlines priorities and principles for rigorous, secure, and independent third-party AI safety assessments of frontier models and safeguards.

How Benchling secured multi-tenant AI agents with Amazon Bedrock AgentCore

Learn how Benchling built a defense-in-depth security architecture to run untrusted, AI agent-generated scientific code across thousands of life sciences tenants using Amazon Bedrock AgentCore Code Interpreter in VPC mode, combined with Amazon Route 53 Resolver DNS Firewall and VPC endpoint policies to block data exfiltration, including through DNS.

Why Deploying Physical AI at Scale Demands Safety at Every Layer

Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that roughly 60 million industrial robots will be deployed between 2026 and 2035. As these machines enter roads, factories, warehouses and other environments shared with people, […]

AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack

AI security is an engineering problem. That means defined security requirements, enforceable controls, named owners and evidence that protections work. As AI becomes more capable, the industry must accelerate security engineering, broaden access to defensive tools and share what works faster. Technology Changes, Security Fundamentals Endure The internet and cloud computing changed how software operates, […]

Building standards for the next phase of AI

OpenAI outlines a path to shared global AI standards, calling for coordinated evaluation, reporting, and governance to improve safety.

ReadyOn’s Four Walls of tenant isolation on Amazon EKS

ReadyOn runs a multi-tenant platform on Amazon EKS that handles highly sensitive enterprise data. This post describes their Four Walls model: four independent layers of tenant isolation combining Kubernetes namespaces, Karpenter node pools, Amazon VPC security groups, and per-tenant Amazon Aurora databases for zero-trust defense in depth.

Introducing the Australian Youth Safety Blueprint

OpenAI introduces the Australian Youth Safety Blueprint, a six-pillar roadmap for safer AI experiences that protect and empower young people.

When scanners miss the attack: how Cloudflare Client-Side Security protects storefronts

A modern storefront can look healthy while malicious JavaScript quietly siphons revenue, hijacks clicks, or rewrites analytics. See how Cloudflare's machine learning models surface evasive client-side attacks for analyst investigation.

Kubernetes v1.37: Hardening Container Storage with Bind Mount Options and EmptyDir Permissions

Kubernetes v1.37 brings important storage security features: emptyDir permission modes and bind mount options. They help application programmers and security professionals implement rigorous security policies, for example, prohibiting deletion of files across containers or execution of arbitrary binaries from writable volumes, directly in Kubernetes without any complicated circumvention. Linux storage and permission fundamentals Before diving into the new Kubernetes features, let us briefly review the low-level Linux security mechanisms that make them possible. Bind mount flags When Linux mounts or remounts a directory, Virtual File System (V

Introducing automatic remediation policies with Cloudflare CASB

Cloudflare CASB policies introduce a native automation engine built directly on the Cloudflare developer platform to remediate SaaS risks automatically. Security teams can now design event-driven logic to revoke risky file shares and send webhooks without manual intervention.

Introducing context-aware vulnerability discovery and remediation with Cloudflare Managed Defense and OpenAI Daybreak models

Use production traffic and security signals to prioritize findings, prepare edge mitigations when safe, and propose code patches. By combining WAF data with OpenAI Daybreak models, Vulnerability Discovery and Remediation helps teams identify and patch the most critical threats first.

How Microsoft’s Physical Security Engineering Team scaled hybrid operations with Azure Arc and Azure Virtual Desktop

Learn how Microsoft used Azure Arc and Azure Virtual Desktop to simplify hybrid security operations, improve visibility, and scale globally. The post How Microsoft’s Physical Security Engineering Team scaled hybrid operations with Azure Arc and Azure Virtual Desktop appeared first on Microsoft Azure Blog .

Building an Adaptive Agentic Cybersecurity System with NVIDIA Nemotron

AI is changing the pace of cybersecurity. Agentic systems can coordinate work and pursue complex objectives over long horizons. Security teams are beginning to...

Improving our alignment and security efforts

AI-powered clinical trial eligibility and safety using Amazon Bedrock AgentCore

AI agents built on Amazon Bedrock AgentCore help clinical trial teams make fast, accurate enrollment decisions while keeping clinicians in control. This post shows how to architect an eligibility and safety screening agent using AWS HealthLake, AgentCore, and AgentCore Evaluations.

Introducing Gemini 3.5 Flash Cyber

Google introduces Gemini 3.5 Flash Cyber, a lightweight cybersecurity model to find and patch vulnerabilities.

Investing in multi-agent AI safety research

Google DeepMind and partners announce a $10M funding call for multi-agent safety research.