Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

cloudflare

Cloudflare AI Search: give your agents a search engine for your data

Aug 6, 2026 By Agents In Cloudflare
Today, we’re excited to announce a few developer experience improvements to Cloudflare AI Search to make it easy to manage a search solution out of the box. Previously, you had to stitch together components of the Cloudflare primitives (Workers AI, AI Gateway, Vectorize, R2, Browser Run) but now, AI Search can do this automatically, and better. Our goal is to give your agents their own search engine, where they can easily find data to provide better answers for themselves and their humans.
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kovrr

AI Guardrail Platforms Compared for Enterprise Deployment

Aug 6, 2026 By Kovrr In Kovrr
Enterprise AI guardrails are the technical controls that prevent AI systems from doing things they shouldn't, applied at the moment of execution rather than after the fact. They sit between the AI model or agent and the systems, data, and users it interacts with, filtering inputs, inspecting outputs, and constraining behavior against enterprise policy.
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kovrr

Monitoring AI Agent Behavior in Production

Aug 6, 2026 By Kovrr In Kovrr
Monitoring AI agents in production is a fundamentally different problem from monitoring traditional software or even generative AI models. Because agents run autonomously, chain multi-step reasoning across tools and systems, and change behavior as their underlying models evolve, standard software metrics like uptime and CPU utilization miss almost everything that matters. ‍
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kovrr

Assessing Third-Party AI Vendor Risk Before It Becomes a Problem

Aug 6, 2026 By Kovrr In Kovrr
Every SaaS tool your organization onboards now carries a hidden layer of AI risk. The chatbot on your CRM, the transcription service your sales team runs, the code assistant embedded in your IDE. Each one processes company data through models you did not build, in ways your vendor questionnaire was not written to catch. Traditional third-party risk management was designed to evaluate infrastructure, access controls, and data handling.
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UTMStack

Access Control Models Explained for Modern Security Teams

Aug 6, 2026 By cesmng In UTMStack
Most guides tell security teams to pick an access control model and move on. That advice breaks down in real environments, because the hard part isn't naming the model, it's keeping least privilege, auditability, and enforcement aligned as identities, attributes, and relationships keep changing across SaaS, cloud, endpoints, and network gear. In practice, the winners are the teams that treat access control as an operating discipline, not a diagram in an architecture deck.
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bitsight

Thousands of Exposed Fuel Gauges Just Left the Internet

Aug 6, 2026 By Pedro Umbelino In BitSight
Most of the exposure research we publish goes one way. We count some category of internet-exposed devices, the number is bigger than you hoped, and it is climbing. Webcams. Industrial control systems. NTP servers old enough to vote. The story is almost always "there is more of this exposed than there should be, and it is getting worse.".
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Software for Non-Profits Canada: Top 5 Platforms to Scale Your Mission

Software for Non-Profits Canada: Top 5 Platforms to Scale Your Mission

Aug 6, 2026 By SecuritySenses In SecuritySenses
Operating a registered charity or non-profit organization in Canada involves navigating complex daily workflows, maintaining accurate record-keeping, and adhering to Canada Revenue Agency regulatory compliance. Beyond meeting administrative standard procedures, teams must coordinate volunteer management, manage communications, and maintain complete operational oversight to build long-term donor accountability. Choosing the right digital platform plays a central role in driving staff efficiency, optimizing response times, and maximizing overall customer satisfaction.
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miniorange

How to Connect Claude to Jira Securely Without Giving AI Unrestricted Access

Aug 5, 2026 By Pallavi Narang In miniOrange
Teams are connecting Claude to Jira to summarize issues, draft tickets, and answer sprint questions in seconds. The productivity gains are real, but so is the security risk. The problem is simple: a direct connection gives Claude the same permissions as the person who set it up. If that user can view confidential projects or delete issues, so can Claude. There's no business logic in between deciding what AI should and shouldn't touch. Most organizations don't want to ban AI.
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