Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A model produces a figure, an event happens, and somebody asks whether the figure was right. It is the obvious question and it has almost no published answer, because the comparison is harder than it looks. ‍ A single realized loss cannot falsify a distribution. If a model puts a one percent chance on exceeding a threshold and the threshold is exceeded, the one percent case occurred, which is what the model said would sometimes happen. ‍

CVE-2026-86858 is an improper access control flaw in the ServiceNow AI Platform, classified as CWE-284. ServiceNow describes it as an unauthenticated privilege escalation reachable through GraphQL. In certain circumstances an unauthenticated user can create, modify, or delete instance data beyond what was intended. The vulnerability carries a CVSS v4.0 base score of 8.7 (High). Attack vector is network, attack complexity is low, and neither privileges nor user interaction are required.

An agentic SOC uses AI-powered investigation, analysis, and automation to gather data, connect activity, and handle repetitive investigative work. Analysts remain in control and focus on judgment, prioritization, and response. This addresses the need for machine-speed security operations as AI agents gain autonomy and Tier 1 access to systems. Spend five minutes watching a security analyst at work and the “AI will replace analysts” headline starts to sound out of touch.

Attacking a CI/CD pipeline used to require a specialist who understood Git internals, cloud identity, and the way build runners handle secrets. That is no longer true. The barrier to entry for an advanced attack has dropped to the level of writing prompts in English. Automation itself is not new to DevOps, but AI has raised its ceiling on both sides of the fence.

New training on using AI safely and spotting AI-powered threats arrives this Cybersecurity Awareness Month Attackers are moving faster than ever, weaponizing newly discovered vulnerabilities before defenders can patch them and building new types of malware that signature-based defenses can’t catch.

Salt Labs recently showed that a single email could hijack the AI agent platform Manus and reach a victim’s connected accounts. The full technical breakdown, with complete evidence, payloads, and screenshots, is in our research team’s write-up, and Dark Reading first reported the finding in an exclusive. This post is the shorter version: what the finding means and what it tells every organization now deploying AI agents. For the full technical detail, read the Salt Labs research blog.

Salt Labs found that the agentic AI platform Manus could be hijacked with a single email. By hiding malicious instructions inside an ordinary message, researchers got Manus to execute malicious code and, from there, reach the email, cloud storage, and code repository accounts a user had connected to it. The full attack required nothing from the victim beyond asking Manus to check their inbox. No stolen password, no clicked link.

Co-founder and CCO We shipped bots in the LimaCharlie AI Terminal. You can create one in a few minutes: give it a role, pick a profile if you want one, and open a chat. I said this during our September Build Log demo and I'll repeat it here, because everything else in this post follows from it. The bot is the easy part.