499 stories
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.
We already had automation in parts of our security review process. It was useful,...
An OpenAI agent broke through access controls on an Australian government Medicare portal in June, and OpenAI sat on that fact for three months before telling anyone.
A growing vulnerability backlog is more than technical debt: it is an attack surface. Learn why outdated risk assumptions, automated attackers, and chained findings demand a new approach.
Practical Appwrite Firewall rules for OTP abuse, database scraping, per-user quotas, regional access, trusted networks, webhook Functions, and Sites under attack.
Ask your Evo tenant about models, MCP servers, and skills across your AI estate, from the client you already work in.
This security release features a fix for a critical severity security vulnerability. Because this is a security release, it is recommended that you update your sites immediately.
Which agents are running? Should this particular action be allowed? What happened, and why? This is what Arcjet is now tackling.
This security and maintenance release features 17 bug fixes on Core, 19 bug fixes for the Block Editor, and 11 security fixes. Because this is a security release, it is recommended that you update your sites immediately.
Prompt injection hijacks your LLM via user input, retrieved docs, and tool results. Three attack surfaces, and the defenses that actually work in production.
AI is accelerating software creation and cyberattacks alike. Leaders must secure agents and code at inception, enforce controls at runtime, and validate defenses independently.
Ryan chats with Sam Curry, CSO at Zscaler, about where human intelligence sits in the new security landscape with AI, why shifting security protections closer to applications helps limit probes for vulnerabilities, and why building more resilient code infrastructure is the best way to address the…
Malware used to be simple to describe. A virus attached itself to a file, and antivirus software removed it. That world is gone. Today, a single attack can steal your passwords, lock up your photos, w
Building an app used to feel like assembling furniture without instructions, while missing half the screws. Today, AI-powered tools such as Lovable can help you turn an idea into a working web applica
Prevention in agent-generated code is architecturally solved—but choosing controls that protect security without slowing development remains the challenge.
Last week, Claude Fable 5.1 became available on AWS. According to Anthropic, Claude Fable 5.1 delivers frontier intelligence for ambitious tasks across coding, scientific research, and enterprise workflows.
Ryan chats with Greg Jennings, VP of Engineering for AI Products at Anaconda, about what it takes to build a secure-by-default AI coding agent, why prompts shouldn't be treated as strict security guardrails, and how Anaconda is using strategic acquisitions to secure the AI software supply chain.
Every enterprise capability in Hindsight Cloud, and the failure each one prevents: single sign-on, MFA enforcement, role-based access, scoped API keys, audit logging, Memory Defense, webhooks, and bring-your-own-cloud or on-premise deployment.
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