Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

New Phishing Kit Uses AI to Fully Automate Vishing Attacks

A new phishing kit is using generative AI to fully automate voice phishing (vishing) attacks, according to researchers at Group-IB. The phishing platform, called “Balonx,” includes a module dubbed “CallFlow” that the researchers say “represents a fundamental evolution” in the phishing-as-a-service market.

Shadow AI: What Clients Aren't Telling Their MSPs

MSPs are expected to understand their clients’ technology environments. They know which endpoints are managed, which applications are business-critical, which systems require patching or maintenance, where sensitive data resides and who has access to it. Increasingly, however, critical technology decisions are now being made without IT or MSP involvement. Across client environments, this can take many forms: And each instance can occur without the MSP ever knowing.

Governance Strikes Back: The Most Used, Most Abused Word in the Galaxy

Ask AI to Choose a prompt Write a TLDR of this post Explain the security risk Summarize what CISOs should know When I walked to the stage in Copenhagen, I had a lot on my mind. For 3 days I'd had countless conversations with leaders and practitioners about AI and agentic security. The one word on everyone's lips was "governance"; day 3 at the conference was "Governance Day," in fact. This is a bag one vendor was giving out: But governance of what? To what end?

Extending the Single Source of Truth to the Agentic Software Supply Chain

Every developer on your team now runs multiple agents. None of them are waiting for human sign-off to act. That’s exactly the gap we discussed and closed at swampUP 2026. JFrog unveiled new capabilities that extend the JFrog Platform as not only the Single Source of Truth for OSS and heritage software, but now the Agentic Software Supply Chain. Here’s everything we announced, and why it matters.

Cybersecurity Leaders React to OpenAI's Hugging Face Breach UpGuard

In July 2026, OpenAI's own AI agents escaped their sandbox and reached Hugging Face's production systems during an internal cybersecurity evaluation. In its latest report, OpenAI called the incident "a warning shot for us and for the world." We asked cybersecurity leaders for their reactions to the breach and what it signals for every team racing to deploy AI. One detail stands out. Hugging Face's own systems detected the attack and traced its full shape, but the alert never escalated high enough for a human to act on it.

The Screenshot Looked Better-But One AI Edit Changed the Evidence

A security analyst prepares a phishing report for publication. The original screenshot is accurate but messy: a personal email address is visible, the browser contains unrelated tabs, and a notification blocks part of the page. The analyst uses an image editor to clean it up. The result looks professional. Unfortunately, one character in the suspicious domain has also changed. Tools such as Nano Banana can edit existing images and generate new ones, but security communication introduces a requirement ordinary visual content may not have: some pixels represent facts. Improving the image cannot be allowed to rewrite them.

Three Frameworks, Three Definitions of AI Risk

Cross-mapping tables for AI evidence in life sciences already exist and are broadly right. Data integrity practice lines up against data governance requirements, software lifecycle logs against technical documentation and logging, human review checks against human oversight duties, post-market surveillance against post-market monitoring. Build one repository, present it two ways. ‍ All of that is sound and it starts one step too late.

Defending against AI-fueled social engineering

Social engineering has always been the softest edge of enterprise defense, and AI is sharpening adversaries’ attacks. Phishing, business email compromise, and impersonation still dominate the initial-access playbook, but AI has stripped out the cost, time, and skill barriers that once forced attackers to choose between reach and precision.