Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

mend

Best 6 AI security posture management platforms (AI-SPM) in 2026

Jul 21, 2026 By Tiffany Jennings In Mend
AI Security Posture Management (AI-SPM) platforms are specialized tools that discover, monitor, and secure AI models, pipelines, and data, mitigating risks like data leakage and model poisoning. They offer continuous visibility, manage misconfigurations, and enforce security policies across cloud services like Azure OpenAI and Bedrock.
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kovrr

How to Discover, Monitor, and Manage Shadow AI Across the Enterprise

Jul 21, 2026 By Kovrr In Kovrr
Shadow AI is the fastest-growing unmanaged risk surface in most organizations. Employees are adopting AI tools through browser extensions, free-tier SaaS accounts, personal logins, and embedded platform features without involving IT, security, or procurement. The result is an expanding footprint of AI systems that process corporate data, generate business outputs, and create compliance exposure while remaining invisible to the governance program responsible for managing those risks. ‍
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How to Build Reliable Data Integration Pipelines That Actually Support AI and ML at Scale

How to Build Reliable Data Integration Pipelines That Actually Support AI and ML at Scale

Jul 21, 2026 By SecuritySenses In SecuritySenses
AI has become surprisingly good at spotting patterns, writing code, summarizing documents, and answering complex questions. Yet many AI projects still hit the same wall long before the model becomes the problem. The real challenge often lies in something far less exciting: getting the right data to the right place, in the right format, at the right time.
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memcyco

AI Threat Intelligence vs. Traditional Threat Intelligence: A Practical Guide for CISOs

Jul 20, 2026 By Ezra M. In Memcyco
Most CTI programs aren’t failing because analysts lack skill. They’re failing because signal volumes have outpaced what any manual workflow can process. Thousands of newly registered domains, phishing kit variants, and brand impersonation attempts surface daily. Human teams can’t triage all of it. Threat intelligence automation addresses the throughput problem by automating collection, enrichment and prioritization so analysts spend time on decisions, not data wrangling.
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Corelight

What the Black Hat NOC taught me about MCP & agentic SOCs (Chapter 3 of 4)

Jul 20, 2026 By James Pope In Corelight
The first time an MCP (Model Context Protocol) server felt real to me, it wasn't because of a clean demo. It was because of the noise. TL;DR: The harness matters more than the protocol, and the evidence matters more than both. MCP earns its keep when it shortens the path from a good security question to trustworthy evidence, and almost everything interesting about making that work happens in the harness wrapped around the model. In this series, I will cover how to build an MCP for an AI SOC.
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Who's Winning the AI Security Race: Attackers or Defenders?

Jul 20, 2026 By Forescout Technologies In Forescout
Defenders have gained early access to powerful AI tools, creating an opportunity to improve security outcomes and strengthen cyber resilience. But as these capabilities become more widely available, that advantage may not last. Rik Ferguson, VP of Security Intelligence at Forescout, shares his perspective on what security teams should be doing now to prepare.
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Where Security Breaks First in the AI Era

Jul 20, 2026 By Forescout Technologies In Forescout
Most security programs were built for a slower clock. But as AI-assisted and autonomous attackers accelerate the pace of attacks, manual approval gates can become the point where defenders fall behind. This short video explores why security teams need to reexamine the processes, decision points, and response workflows that may slow them down when speed matters most.
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kovrr

The Security Risks of AI Agents in the Enterprise

Jul 20, 2026 By Kovrr In Kovrr
AI agents introduce a category of security risk that traditional application security, identity management, and even standard AI security programs were not designed to handle. Unlike a generative model that only produces text, an agent takes autonomous action against real systems, chains API calls together to accomplish goals, and often holds permissions broad enough to touch data across multiple business systems.
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WatchGuard

Why WatchGuard Is Investing Across the Frontier AI Ecosystem

Jul 20, 2026 By Marc Laliberte In WatchGuard
Artificial intelligence is quickly becoming one of the most transformative technologies in cybersecurity. Unfortunately, it's not transforming the industry exclusively for defenders. Attackers are already experimenting with AI to accelerate reconnaissance, analyze software for vulnerabilities, develop fully-functional exploits, and automate nearly all parts of the attack lifecycle.
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OpenAI's Sol, Terra, Luna Explained: Which One Should You Use?

Jul 20, 2026 By Snyk In Snyk
-OpenAI has completely overhauled its model naming system with the release of GPT-5.6, introducing three distinct tiers: Sol, Terra, and Luna. In this video, we put OpenAI's new flagship model, GPT-5.6 Sol, to the ultimate test. Using the Codex extension in VS Code, we throw our classic "Build me a secure notes app or I get fired" prompt at Sol. Watch as we break down the pricing and reasoning differences of the new tiers, run a full security audit using Snyk, and see if Sol's $5/$30 price tag is truly production-ready or if a small local CSRF bug gets us "fired" first.
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