Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Your Healthcare RAG Pipeline Is Leaking PHI (And How to Fix It)

Why Your Healthcare RAG Pipeline Is Leaking PHI Most healthcare organizations believe their AI assistant is secure once they restrict who can log in. Unfortunately, that's only part of the story. Modern healthcare AI applications rely on Retrieval-Augmented Generation (RAG), where patient records, physician notes, insurance claims, and medical documents are embedded into vector databases to power intelligent search.

You can't govern what you can't see: Detecting shadow AI on your network

AI adoption inside the enterprise didn't ask for permission. It arrived through browser tabs, code editors, and meeting transcription bots, quietly stitching itself into daily workflows long before security teams could write policy around it. The result is a familiar story with a new villain, a sprawling, unmanaged attack surface that lives in your network traffic but nowhere in your asset inventory. We call it shadow AI, and it's the blind spot you didn't plan for or budget for.

The New Face of AI Risk

Cybercrime used to have a ‘"tell." It was the digital equivalent of a villain stroking their cat - clunky grammar, misspelt links and suspicious attachments that screamed ‘phishing’. But the arrival of AI has changed everything. Typos have been replaced by perfect prose. Generic lures have evolved into highly personalized attacks that mimic your internal language and align with your project timelines.

Oracle Just Shipped 1,449 Security Patches in One Quarter. We Checked How Much of It Is Actually New.

Oracle's July 2026 Critical Patch Update (CPU) is nearly three times larger than any release in the company's history. To understand it, we parsed all 23 of Oracle's quarterly advisories going back to 2021, matched them against the official CVE record, and compared Oracle against eight other major vendors. We set out to answer three questions: How much of this is genuinely new? Does it really reflect AI-accelerated patching? And how unusual is it?

Why Continuous Attestation Is Critical in the AI Coding Era

In the age of AI coding, annual audits and snapshots are no longer enough. Discover **Continuous Attestation** — the practice of producing ongoing, verifiable evidence that your applications and pipelines are always running in a trusted, policy-conformant state. In this video, Anthony Barkley, Chief Strategy Officer at Veracode, explains why independence in attestation is critical for earning trust from regulators, customers, and boards — especially when AI agents are writing code.

Ep. 65 - "Months, Not Years": The Five Eyes AI Warning and Your Security Program

On June 22, 2026, the heads of all six Five Eyes cyber agencies — GCHQ, CISA, the NSA, ASD, the Canadian Centre, and New Zealand's GCSB — signed a rare joint statement: AI has rewritten the cyber risk timeline, and it's months, not years. Host Tova Dvorin and offensive security expert Adrian Culley unpack why AI is collapsing the window between vulnerability and exploit, why "having controls" isn't the same as proven controls, and why legacy systems are now strategic liabilities for the board, not the IT team. A clear-eyed look at validation, assumed breach, and what CISOs should do Monday morning.

Ep. 68 - Why OWASP's AIVSS Scores Agentic AI at Maximum Risk

OWASP just shipped AIVSS — an entirely new vulnerability scoring methodology built for autonomous AI agents, where a compromised orchestrator can score a perfect 10. Host Tova Dvorin and Adrian break down the "amplification principle": why a 2.1 CVSS finding becomes a 7.1 in the wrong agent, how persistent memory and broad tool access expand every blast radius, and what EchoLeak-style attacks already mean for real deployments. Plus where adversarial exposure validation and SafeBreach's agentic AI coverage fit in.

Attackers Exploit AI Hallucinations to Send Users to Phishing Sites

Threat actors are using a new technique called “phantom squatting” to trick AI tools into directing users to phishing sites, according to researchers at Palo Alto Networks’ Unit 42. Since AI models frequently hallucinate phony information, they sometimes point users to websites that don’t exist. Threat actors are now registering these AI-hallucinated domains and using them to host phishing sites.