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Four Excuses That Are Leaving Your Data Exposed to AI Risk

The generative AI revolution isn't on the horizon. It's already reshaping the way your employees work. Across every industry, workers are adopting AI-powered productivity tools at a pace that far outstrips most organisations' security and governance programmes. The question is no longer whether your organisation will use AI, but whether you're prepared to use it securely. The challenge is real, but so are the misconceptions that keep organisations from acting. Let's break down the four most common excuses and explore what it takes to build a data security foundation ready for the AI era.

Top Security Risks of AI Agents

AI agents are rapidly moving from experimental projects into everyday business operations. Unlike traditional AI systems that generate content or answer questions, AI agents can take action. They can call APIs, access applications, retrieve data, execute workflows, and make decisions with limited human intervention. That shift is creating a new security challenge for enterprises.

Falcon AIDR Now Protects Copilot Studio Agents and Claude Code

Employees are already using AI at work. They build agents in Microsoft Copilot Studio, write code with Claude Code, and paste sensitive data into chatbots in the browser. Each of these actions can expose sensitive information outside of approved workflows, and most of it happens where traditional endpoint, network, and data loss prevention (DLP) security controls can't see the prompt or the tool call.

What Claude Mythos Means for Vulnerability Management Programs

If you've been following the cybersecurity conversation over the last several weeks, you've heard some version of the phrase “Claude Mythos changes everything.” It’s dominated the industry news cycles since early April. While the capabilities these stories tout are very much real, I have an issue with the framing being wrong when it comes to vulnerability management. There’s a narrative that Mythos and other frontier models will find too many vulnerabilities to deal with.

Find Your Security Gaps Before AI Does

Before AI Finds Your Forgotten Data, Find the Security Gaps Around It – AI does not need to bypass security when outdated permissions already provide a path. Ask an enterprise AI assistant to summarize what your organization knows about a customer, project, employee, or acquisition. Within seconds, it may surface years-old files, inactive collaboration spaces, past emails and chats, and documents that were shared more broadly than anyone remembers. No system had to be hacked.

Adopting an AI-Native SDLC: Egnyte Search Team Case Study

By Bhumika Sharma | Manager, Engineering at Egnyte We ran an AI-native SDLC—here's what it changed about how we lead engineering. Egnyte's Search team serves 22,000+ enterprise customers across petabytes of content, and like every engineering org right now, we're figuring out how deeply AI tools should reshape how teams actually build software. Earlier this year, we kicked off a new project.

Mobot: Sumo Logic's natural language AI for SOC investigations

Mobot is Sumo Logic's conversational interface designed to streamline investigations for SOC analysts and observability users. Ask a question in plain English and get a full SOC analyst-style investigation without writing a query. Inside an Insight, Mobot pulls context like the C2IP, ransomware hash, host, and exfiltration data automatically. A six-word question, "anyone else hit by the campaign?", triggers a full investigation across every mailbox and endpoint tied to that attack, with a link to the raw query behind every answer.

Sumo Logic's SOC Analyst Agent: Automated triage for every tier one alert

Sumo Logic's SOC Analyst Agent automatically triages every insight within the SIEM, replacing the manual work that used to fall to a tier-one analyst. Using Sumo Logic's own SOC as customer zero, we found that 100% of tier-one alerts are triaged end-to-end by the agent, resulting in a 89% reduction in median time to triage, from 28 minutes to 3 minutes. In this demo, you’ll see.