Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Three weeks ago, it was ServiceNow: an endpoint that never asked who was calling, exposing customer data to anyone who asked. This time it’s Oracle PeopleSoft, exploited at scale by the threat actor ShinyHunters. Two platforms, two different vendors, the same root failure: an endpoint that skipped the one question it existed to ask. That’s not a coincidence you write off as bad luck at two companies.

AI agent security solutions fall into two categories. Some use AI agents to perform security work, such as red teaming, pentesting, SOC investigation, threat hunting, and risk analysis. Others protect AI agents, copilots, MCP servers, and agentic workflows from vulnerabilities such as over-permissioning, prompt injection, unsafe tool use, data exposure, and unauthorized actions.

Veil#Drop is a sophisticated multi-stage malware delivery framework that combines social engineering, compromised websites, malicious JavaScript launchers, PowerShell download cradles, and trusted cloud-hosted infrastructure to deploy PureLog Stealer entirely in memory. The infection chain begins with a deceptively named JavaScript file masquerading as a document (e.g., transcript.pdf.js), which executes through Windows Script Host and launches PowerShell with execution policy bypasses enabled.

A lot of security programs still treat data exfiltration as a downstream consequence of compromise. That framing is too narrow. The global average cost of a breach reached $4.44 million in 2025 according to Varonis's summary of 2025 data breach statistics, and that cost lands on operations, legal, compliance, and executive credibility, not just the SOC.

AI today has moved beyond experimentation. In the modern age, enterprises are embedding AI across various aspects of their businesses, including customer support, document processing, software development, healthcare, financial services, and decision-making workflows. According to a recent McKinsey report, 88% of businesses use AI in at least one business function. This reflects how AI is now becoming the center of several enterprise operations.

A new report from SpyCloud has found that phishing attacks have exposed employee data at 86% of Fortune 100 companies over the past 12 months, with the technology, airline and automotive sectors being hit the hardest. The researchers also found that 78% of organizations experienced an increase in phishing volume over the past year. Additionally, 84% of respondents named AI-assisted phishing as their top concern, followed by business email compromise (BEC) attacks.

I saw a venn diagram on social media. One circle is Shadow IT, one circle is Shadow AI, a substantial overlap, and the implicit message is that they are effectively the same challenge. They aren’t and that the assumption can lead to many problems. Looking back, shadow IT was like watching a crash in slow-motion. Employees using technology IT hadn't sanctioned. Personal Dropbox accounts. Unofficial Slack workspaces.

The 2026 NASCIO-Deloitte Cybersecurity Study reveals a stark reality for CISOs in state governments: while cyber threats are growing in both sophistication and volume, the resources available to combat them are failing to keep pace. As foreign adversaries and cybercriminals weaponize AI to probe for vulnerabilities, state CISOs find themselves at a critical juncture, navigating expanding responsibilities amidst tightening budgets.