Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

appknox

Why Buy a Mobile AppSec Platform Instead of Building With AI?

Sep 11, 2026 By Rishika Mehrotra In Appknox
AI has lowered the cost of building mobile security tooling to near zero. However, it has not lowered the cost of operating it. Building a scanner is now a weekend project, while sustaining detection accuracy, threat research, real-device infrastructure, and developer trust across years remains a full organizational commitment. That distinction is the entire build-versus-buy question in 2026, and most evaluations get it wrong by measuring the wrong thing.
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Arctic Wolf

Astra Just Raised the Bar for AI-Enabled Attacks. Here's What That Means for Defenders

Sep 11, 2026 By Laura Grace Ellis In Arctic Wolf
OpenAI published its assessment of its newest GPT model, Astra, and found it to be the first of their models to reach a critical level of cybersecurity capability, meaning that given the right tools and access, it could autonomously exploit previously unknown vulnerabilities. As a result, OpenAI has restricted Astra’s most advanced cybersecurity capabilities to trusted partners before a public rollout.
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How to Improve AI Search Visibility Without Exposing Sensitive Data

How to Improve AI Search Visibility Without Exposing Sensitive Data

Sep 11, 2026 By SecuritySenses In SecuritySenses
AI search visibility creates a useful tension for security and marketing teams. A company wants its expertise, products, and evidence to be easy for search engines and AI systems to find. At the same time, it cannot afford to expose customer data, internal documents, credentials, or operational details simply to make its content more "machine readable." The right goal is not maximum crawlability. It is controlled public visibility: publish enough reliable information for a search system to understand and cite the company while keeping private information behind real access controls.
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kovrr

What an AI Correlation Rule Does When Sources Disagree

Sep 10, 2026 By Kovrr In Kovrr
A correlation rule joins records from several sources to establish that one thing happened. Two of those sources return different answers about the same identity, the same session or the same action. Something has to happen next, and what most systems do is pick a winner. ‍ Picking is the wrong default. The disagreement carries information that resolving it discards, and in a few specific cases the disagreement is the most useful thing the system produced. ‍
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armo

WebInject: The Web Agent Prompt Injection With No Payload

Sep 10, 2026 By Yossi Ben Naim In ARMO
A browser agent in your cluster opens a supplier portal, screenshots it, and clicks somewhere the task never called for. The page looks exactly like the page the supplier serves, and to the person who checks it later, it still does. The classifier in front of the agent returned nothing, because the instruction that produced the click does not exist.
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kovrr

Approved Tools, Unapproved Agents

Sep 10, 2026 By Kovrr In Kovrr
Approval works at the tool layer and it works well. A platform is assessed, terms are reviewed, a data processing agreement is signed, the tool enters the register, and named identities are entitled to it. Everything about that maps cleanly. ‍ Then somebody uses the approved platform to assemble an agent that acts on their behalf, with its own reach and its own credentials. The approval covered the application.
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kovrr

What an AI Usage Inventory Cannot Tell You

Sep 10, 2026 By Kovrr In Kovrr
Three reads from surfaces most organizations already own produce a usable AI usage register in a morning. Entitlement, from the identity provider, showing who is licensed for what. Activity, from network or gateway logs, showing who reached which destination and how much. Identity, from the directory, showing who those people are and which scopes they sit in. ‍ The register answers more questions than people expect.
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bitsight

How to Audit AI Compliance from Both Sides of the Table

Sep 10, 2026 By Emma Stevens In BitSight
The tricky thing about AI compliance is that most organizations are going to experience it from both sides. You need to be able to explain how AI is being used inside your own organization, what it can access, and how you're managing the risk. At the same time, you need to understand how your vendors are using AI and whether that introduces new risk into your environment.
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seemplicity

The Post-Mythos Era Is Here. Is Your Exposure Management Program Ready?

Sep 10, 2026 By Megan Horner In Seemplicity
As AI accelerates vulnerability discovery and exploitation, exposure management can’t stop at visibility and prioritization. Gartner’s post-Mythos outlook points toward more preemptive, autonomous security, and Seemplicity’s Response Options puts that into practice by giving teams multiple context-aware ways to reduce risk quickly, safely, and without waiting for the full fix.
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