Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

sumologic

Sumo Logic MCP server: bringing SIEM and log data into Claude and other AI clients

Sep 16, 2026 By Margaret Selid In Sumo Logic
More security and operations work now happens inside an AI client instead of a dedicated console. That shift creates a gap for any platform that isn’t part of the conversation. Every time an analyst needs to triage an insight or check a log, they have to leave the AI client and go open a different tool. Sumo Logic closes that gap with a Model Context Protocol (MCP) server.
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netwrix

The Linux AI blind spot: 7 exfiltration points your DLP can't see

Sep 16, 2026 By Ryan Oistacher In Netwrix
Shadow AI now contributes to one in five data breaches, and Linux endpoints, where most developers work, largely lack DLP enforcement. That means engineers can upload code to AI tools, copy files to USB or Bluetooth devices, sync data to personal cloud storage, and move files through network shares undetected. HIPAA, PCI DSS, GDPR, and CMMC hold organizations accountable regardless of this coverage gap. Netwrix Endpoint Protector extends content-aware inspection and device control to Linux.
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bluevoyant

Agent Sprawl is the New Shadow IT

Sep 16, 2026 By BlueVoyant and Microsoft In BlueVoyant
As you’re reading this, it’s possible an agent you’ve never heard of is reading your files. But where did it come from? What systems can it access? And who’s responsible for its oversight? Today, employees are using AI and agents to expand what they can accomplish and how work gets done. And the barriers to innovation have never been lower — with natural language and no-code tools, anyone in your organization can build a new agent in the span of an afternoon.
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19 Best AI Visibility Tools with MCP Servers in 2026 (Ranked)

19 Best AI Visibility Tools with MCP Servers in 2026 (Ranked)

Sep 16, 2026 By SecuritySenses In SecuritySenses
AI visibility work now happens in the same conversations where strategy already lives. Analysts draft in Claude, engineers debug in Cursor, and content leads paste ChatGPT screenshots into Slack threads that never become a ticket. Model Context Protocol (MCP) is what turns those screenshots into objects a model can query, filter, and act on. An MCP server exposes visibility scores, citation lists, advertiser intelligence, and even brief generation as tools the model can call mid-sentence, against live data, without a CSV hop. That timing matters because answer engines rewrite outputs daily.
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What Marketing Trends Should Businesses Pay Attention to in 2027?

What Marketing Trends Should Businesses Pay Attention to in 2027?

Sep 16, 2026 By SecuritySenses In SecuritySenses
Marketing trends have a habit of arriving with dramatic predictions. Email is dead. Search is dead. Websites are dead. Social media has changed forever. Artificial intelligence will replace every marketing department by Tuesday afternoon. Reality is usually less theatrical. Most major marketing channels do not disappear overnight. Instead, the way people use them changes. Search evolves. Social platforms develop new roles. Video becomes easier to produce. New technology changes expectations. Customers become more selective about what earns their attention.
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Decibel Partners' Dan Nguyen-Huu on AI agents gaining user admin rights

Sep 15, 2026 By GitGuardian In GitGuardian
When AI agents during OpenAI's model training autonomously gained user admin rights on Hugging Face, organized on message boards, and escalated privileges, it signaled a permanent shift in cybersecurity. Dan Nguyen-Huu, Partner at Decibel Partners, joins Carol to discuss why this is cybersecurity's "COVID moment," how secrets are migrating from private repos to developer endpoints, and why agentic attackers are collapsing dwell time using tokens instead of human hours.
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Wild code: You can't govern what you can't see

Sep 15, 2026 By Tines In Tines
AI changed who can build. Employees across the business can now create workflows – apps, agents, and automations, faster than ever before. The result is a growing wave of “wild code”: AI-generated software, automations, and agents that solve real business problems but exist outside traditional governance, operational ownership, and support models. For IT, this creates a new challenge. How do you empower teams to move quickly without creating more risk, complexity, and technical debt? How do you support innovation without opening the door to shadow AI, data leakage, and unmanaged systems?
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Why the Hugging Face Incident Is Cybersecurity's COVID Moment

Sep 15, 2026 By GitGuardian In GitGuardian
An AI agent gained user admin rights on Hugging Face, and the agents organized on message boards, rebuilt them after takedowns, and escalated privileges on their own. Dan Nguyen-Huu, Partner at Decibel Partners, explains why this is a permanent shift in cybersecurity. "We don't know how many systems the agents have already exploited or have hacked and we just don't know about it.".
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Tokenpocalypse: Who pays when the AI bill comes due

Sep 15, 2026 By Sumo Logic, Inc. In Sumo Logic
On this episode of Masters of Data, we dig into what we're calling the tokenpocalypse, the real cost of running AI at the scale most of us have quietly slid into. We trace the whiplash of the past two years, from "everyone needs the AI hammer" to backlash against obvious AI slop, then get into the harder question of what happens when a mission-critical process runs out of tokens, from chaining Claude to Databricks for a custom dashboard to the eye-watering budget Uber reportedly burned through by April.
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