Expert perspectives on application security, compliance, and emerging threats
GeneralYou re not defending static applications anymore. When AI can write, deploy, and discard code in minutes, your security model needs to match that pace. AI systems now generate functional applications
IncidentGitHub s AI-powered scanning feature wasn t launched because their existing tools were flawless. It launched because traditional static analysis has blind spots, and those blind spots cost companies r
GeneralYour team s AI coding assistant just suggested upgrading a dependency. It sounds confident. The recommendation includes version numbers and a brief rationale. You accept the change, run your tests, an
GeneralSecurity teams are making costly assumptions about AI-driven testing tools. Some think AI pentesting can replace traditional Dynamic Security Testing, while others believe static analysis is better fo
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IncidentThe Visibility Problem Between 2024 and 2025, enterprise AI agent deployments surged. Security teams gained powerful automation tools capable of querying databases, calling APIs, and orchestrating wor
GeneralYour AI agents are burning through tokens faster than expected. The immediate reaction? Shorten prompts, compress context windows, and add token counters everywhere. But if you re treating token effic
GeneralBlack Hat USA 2026 revealed critical insights that should reshape your AppSec roadmap. Frontier models produce secure code only 24% to 36% of the time. Palo Alto Networks Unit 42 s NOVA system confirm
IncidentOn August 19, 2026, Adversa AI extracted private session data from xAI s Grok chatbot using a technique called Cryptographic Context Injection. This attack embeds encrypted instructions in web content
IncidentIn June 2016, an attacker drained approximately $60 million in Ether from The DAO smart contract. The vulnerability was a reentrancy bug that let the attacker repeatedly call the withdrawal function b
ResearchThe Internet Bug Bounty program has paused payouts after awarding over $1.5 million since 2012. The reason? AI-assisted research is transforming the landscape. This means your security team will face
GeneralScope This guide outlines verification procedures for AI-generated dependency recommendations in your software supply chain. You ll find specific checks to run before accepting AI suggestions for pack
GeneralScope - What This Guide Covers This guide focuses on security controls for AI-assisted code generation tools like GitHub Copilot, Amazon CodeWhisperer, Tabnine, and ChatGPT in your development workflo
ResearchYour AI coding assistant just added 47 dependencies to your project. You approved the PR because the feature works and the tests pass. Three months later, you re patching a critical vulnerability in a
GeneralYour security team already manages identities for employees, contractors, service accounts, and API integrations. Now autonomous AI agents are entering production environments, and the assumptions tha
ResearchIf your team installs packages from public registries, you need a systematic way to catch trojanized dependencies before they reach production. The recent RedC2 4.0 campaign, where attackers published
IncidentWhat Happened On August 19, 2026, Elementor Pro released a patch for CVE-2026-32475, a critical vulnerability in its Forms module. This flaw allowed attackers to upload arbitrary PHP files and execute
