Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Enforcing AI Governance: Why Standard Chatbots Lack Baked-In Security Arjoyita Roy and Luca Labardini from A10 Networks discuss the security risks of deploying AI chatbots with functional tool-calling capabilities, particularly in highly regulated sectors such as financial services.

Pi is a minimal coding agent that lets you choose the features Claude Code and Codex bake in for you. Nothing is forced, nothing is hidden, and you decide what your harness does. However, Pi runs with no safety rails by design, so the environment has to be the boundary. In this video, we'll take a look at Pi, what it is, its features, how to get your own customized setup running, and why it works so well with isolated agentic environments like Beams.

Unexpected delivery texts are one of the most common smishing tricks out there. Here is why you should never click the link, and what to do instead!

AI is writing more enterprise code than ever. The problem? AI coding assistants aren’t trained on your internal security policies, compliance requirements, or industry frameworks. The solution? Salt Code, the first agentic security solution to enforce security policies inside AI coding assistants. Salt Code brings policy-driven security to the moment code is created, helping developers generate compliant code by default from prompt to production.

Threat Navigator brings live hunting searches, version-controlled iterations, MITRE mapping, and one-click signal creation together — so your team can hunt faster and turn every finding into repeatable detection. You'll see how Tanium Threat Navigator.

This video delves into the importance of segmentation in cybersecurity and why it matters more than ever. As attacks become more sophisticated, they don't just stop at entry but rather succeed through lateral movement. An expert explains how effective segmentation limits this movement, contains the blast radius, and buys you the most critical resource in combating cyber threats—TIME. In a world where machine speed exploits are on the rise, machine speed containment is key. Discover how immediate and well-designed segmentation can provide the much-needed AI defense to protect what truly matters.

1.6 days. That’s how fast the mean time to exploit has fallen, and it’s a wake-up call for cybersecurity teams.

Read the full report here: https://www.gitguardian.com/state-of-secrets-sprawl-report-2026

One simple prompt change, asking an AI to respond like a caveman with shorter sentences and fewer words, reportedly cut token spend by 75 percent. It is a funny example, but it points to a bigger issue, AI efficiency and cost control will matter far more as usage spreads.

CVPR 2026 paper overview with research scientist Daniel George, a coauthor of “From Measurement to Mitigation: Quantifying and Reducing Identity Leakage in Image Representation Encoders with Linear Subspace Removal." He discusses some of Persona’s recent research efforts, embeddings, and the paper’s focus. The paper was accepted to the Conference on Computer Vision and Pattern Recognition (CVPR) 2026, a premier conference in computer vision and machine learning.