Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Detection scaled. The loop did not.

Findings got cheap. Verified closure did not. That AppSec remediation gap is the actual problem. AppSec spent a decade winning the wrong race. We got very good at finding things. Scanners in CI. SCA on every manifest. SAST on every pull request. Container and IaC checks on the way to the cluster. Then AI arrived and did what AI does to a solved problem: it made discovery cheaper, louder, and continuous. The same model that writes the function will also enumerate the ways to break it.

Securing autonomous AI agents: regulatory risk and governance for modern AppSec

Autonomous AI agents writing and executing code at machine speed present an urgent compliance challenge for modern software organizations. As global regulations tighten, engineering leaders must establish clear governance layers over agentic workflows, external tool calls, and Model Context Protocol integrations to ensure full accountability. In this session, Mend.io experts Asaf Saar and Ben Goldberg unpack the intersection of AI compliance, software supply chain security, and enterprise risk management. Learn how to bridge the accountability gap without sacrificing development velocity.

Mend Renovate Enterprise: managing dependencies at agentic scale

Automated dependency updates are not new. For years, Mend Renovate has scanned repositories, flagged outdated or vulnerable packages, and opened pull requests. What has changed is the sheer velocity of the pipeline. AI coding agents now write a significant share of production code, introducing open source packages continuously across thousands of repositories.

Mini Shai-Hulud hits openapi-react-query-codegen: 10 malicious npm versions

On August 28, 2026, ten malicious versions of @7nohe/openapi-react-query-codegen were published to npm between 20:00 and 20:21 UTC. The package generates React Query hooks from an OpenAPI schema and draws roughly 150,000 weekly downloads. The latest tag pointed at the malicious 3.0.4 for the duration of the window. Eight of the ten releases carry a multi-stage loader that reaches for cloud, registry, and developer credentials. The attacker needed no stolen npm token and no hijacked maintainer account.

The skill layer is a dependency problem without a lockfile: what the OWASP Agentic Skills Top 10 gets right

OWASP published version 1.0 of the Agentic Skills Top 10 on August 17, defining ten risk classes for the layer where agents find, load, and run reusable instructions and code. This standard arrived while the problem was still forming, mapping directly to AISVS, the Agentic Security Initiative Top 10, the MCP Top 10, ISO/IEC 42001, and the NIST AI RMF. It ships with working code for signing, sandboxing, and pinning.

OWASP LLM Top 10 2026: the model will be fooled, the question is what breaks

The OWASP GenAI Security Project published the 2026 edition of its Top 10 for LLM Applications. Prompt Injection stayed at number one. Sensitive Information Disclosure stayed at number two. Read the headlines and you would conclude that not much moved. Something did move, and it is not in the rankings. The project leads open by telling you to stop trying to build a model that cannot be fooled, and to build the system around it so that when the model is fooled, nothing important breaks.

EU AI Act: risk tiers, timeline, and compliance requirements

The EU AI Act is a regulatory framework governing the development, deployment, and use of artificial intelligence within the European Union. The European Commission proposed it to keep AI systems placed on the EU market safe and transparent and to make sure they respect fundamental rights. The Act sets obligations for AI providers, users, and other stakeholders to address risks associated with AI while still supporting innovation and investment in the sector.

That's a wrap: Mend.io at Black Hat USA 2026

Another Black Hat USA is in the books, and what a week it was. From a main stage keynote at the AI Summit to candid podcast conversations, a video interview with Cyber Defense Magazine, and a booth game that just wouldn’t quit, Mend.io showed up in Las Vegas ready to talk about the question every security leader is wrestling with right now: as AI reshapes both the software we ship and the systems we have to defend, who do we trust to verify that it’s safe?

Patch faster isn't the answer. Patch smarter is.

The 30-day patch cycle is dead. Most security teams already know this. What they haven’t fully reckoned with is why it died, and what has to replace it. SC Media recently gathered a range of security leaders on exactly this shift, and the picture they described is stark. AI didn’t just add more vulnerabilities to the pile. It collapsed the time between disclosure and exploitation from weeks to hours.

Mini Shai-Hulud Hits keyv: Trojanized Release Exfiltrates CI Secrets via GitHub

On August 4, 2026, a malicious version of keyv was published to npm as keyv@6.0.0, one of a number of npm packages affected across the Keyv and Cacheable ecosystem. The release follows the Mini Shai-Hulud pattern: a trojanized version of a heavily depended-on package, with an install-time hook that reaches cloud and CI credentials. It leaves the compiled library untouched and instead adds a preinstall hook and two files.