Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Tines

Why wild code is the next big challenge for CIOs

Sep 15, 2026 By Tines In Tines
Tines co-founder and COO Thomas Kinsella recently joined Peter High on the Technovation podcast to talk about the evolution of Tines, the rise of "wild code," and why agents aren’t always the right tools for the job. The conversation covered a lot of ground — from the original problem that inspired Tines, to how teams should think about combining AI agents, deterministic automation, and humans in a single workflow. Here, we’ll share some of the highlights.
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AI Is Shrinking Attack Timelines: Why Containment Can't Wait

Sep 15, 2026 By Forescout Technologies In Forescout
How fast do organizations need to respond to cyber threats today? In this short video, Daniel Trivellato, VP of OT, Healthcare and Cyber Risk Solutions at Forescout, explains why containment can no longer be treated as the final step in incident response. As AI accelerates the time between vulnerability discovery and exploitation, security teams have less time than ever to investigate and react.
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Arctic Wolf

We Need to Pace AI Development. We Can't Pace AI Defense

Sep 15, 2026 By Dan Schiappa In Arctic Wolf
Anthropic CEO Dario Amodei published an essay this month called “We Must Pace the Frontier.” His argument is straightforward, calling out the reality that AI capabilities are advancing faster than the industry’s ability to align and safeguard them, and frontier labs need to slow the rate of capability growth long enough for safety work, alignment, and interpretability to catch up. He points to two developments behind his concern.
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nucleus

How AI Changes Exposure Management: From Static Findings to Continuous Risk Decisions

Sep 15, 2026 By Rob Gibson In Nucleus
Every security team knows the feeling. The quarterly vulnerability scan completes. The report lands, with thousands of findings, color-coded by CVSS severity, neatly timestamped. And the moment it’s printed, it’s already out of date. That is the fundamental flaw at the heart of traditional exposure management: it is built around a point in time.
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levelblue

Digital Risk Protection in the Age of AI

Sep 15, 2026 By Aaron Cookstra In LevelBlue
Digital risk has expanded far beyond the traditional security perimeter. Brands now operate across social platforms, advertising ecosystems, messaging applications, collaboration tools, marketplaces, and dozens of other digital channels. Each represents an opportunity to connect with customers. Each also creates opportunities for abuse. A fraudulent advertisement can direct users to a spoofed login page. A fake social media account can support an executive impersonation campaign.
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Ranked: The 10 Best AI SEO Agencies for 2026

Ranked: The 10 Best AI SEO Agencies for 2026

Sep 15, 2026 By SecuritySenses In SecuritySenses
SEO is having a bit of a moment. Getting onto page one of Google still matters, of course, but that is no longer the whole picture. Brands now also need to think about whether they are being mentioned in AI-generated answers, summaries, recommendations, and conversational search results. That is where AI SEO comes in. The strongest agencies in 2026 are not throwing traditional SEO out the window. They are combining the fundamentals that still work with newer strategies built around AI search visibility, authority, brand mentions, and genuinely useful content.
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Red Teaming Agentic AI: Why Testing the Model Is No Longer Enough

Red Teaming Agentic AI: Why Testing the Model Is No Longer Enough

Sep 15, 2026 By SecuritySenses In SecuritySenses
In January 2025, NIST's Center for AI Standards and Innovation published red team results that should have changed how enterprises test autonomous systems. Against an AI agent operating in simulated workspace, travel, Slack and banking environments, the strongest previously known hijacking attack succeeded 11% of the time. The strongest new attack developed by the red team succeeded 81% of the time. The model had not changed. The evaluation had.
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device authority

AI is learning to control machines...but can it trust them?

Sep 14, 2026 By Claire Tennant In Device Authority
Anthropic’s new Model Hardware Standard (MHS) could mark an important step in the evolution of agentic AI. Currently in research preview, MHS provides a standardized way for AI agents to discover, understand and operate physical equipment. Anthropic is already demonstrating the concept with laboratory and manufacturing equipment including robotic arms, microscopes, liquid handlers and laser systems. The objective is compelling.
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