Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

mend

Best AI Governance Platforms for Enterprises: Top 6 in 2026

Jul 7, 2026 By Tiffany Jennings In Mend
AI governance platforms provide enterprises with centralized oversight to manage AI risks, ensure regulatory compliance, and automate policy enforcement across the AI lifecycle. Leading solutions include security-oriented tools like Mend.io, HiddenLayer, and Prompt Security, as well as end-to-end governance platforms like IBM watsonx.governance and Microsoft Purview.
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one identity

Safeguard: Using the double-edged sword of AI for good

Jul 7, 2026 By Megan Pennie In One Identity
The concept of AI might trigger both excitement and stress for those who spend all their time either using it for efficiency or fighting it as it tries to breach their systems. A massive force of non-human identities that have been summoned to expose the tiniest cracks in an organization’s security is enough to overwhelm any IT team. However savvy, modern security professionals have begun to raise their own versions of AI armies – designed to stop those sent by malicious actors.
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CrowdStrike

CrowdStrike Uncovers New Prompt Injection Techniques

Jul 7, 2026 By David Keller In CrowdStrike
Prompt injection is among the defining security challenges of the AI era. As organizations move from chatbots to AI agents, adversaries are finding more ways to manipulate the language, context, and data these systems trust. With the rise of powerful AI agents that can crawl webpages, access file stores, and even write shell commands, indirect prompt injection has emerged as a critical threat vector.
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kovrr

How to Build an AI Asset Inventory

Jul 7, 2026 By Kovrr In Kovrr
Most organizations that have invested in AI governance have done so without first solving the problem that makes governance possible in the first place: knowing what AI they are actually running. An AI governance program built on an incomplete inventory is governing a partial picture of actual exposure. ‍ The risks concentrated in the AI systems that never made it into the formal catalog are not lower priority because they were not captured. They are simply invisible, which is considerably worse.
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cyberhaven

Implementing AI Security: Your Enterprise LLM Security Checklist

Jul 7, 2026 By Cyberhaven In Cyberhaven
Security teams are approving large language model (LLM) deployments faster than they can build the controls necessary to govern them and protect vital, sensitive data. Employees paste customer records into ChatGPT, engineering teams connect internal APIs to coding assistants, and business units stand up retrieval systems against production data, often without formal review.
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Called it (mostly): Checking in on 2026 predictions so far

Jul 7, 2026 By Sumo Logic, Inc. In Sumo Logic
On this episode of Masters of Data, we revisit the predictions Adam White, Zoe Hawkins, and David Girvin made at the end of last year, checking our own scorecard halfway through 2026. The hits: agents running amok and deleting databases, MCP becoming the backbone for tracking what agents actually do, growing security gaps around personal data, and a collective rejection of low-quality AI content. The misses: we underestimated how fast companies would cut staff for AI, then quietly start rehiring once the agents couldn't cover the work, and we're still arguing about whether token burn is a cost problem or a coming attack vector.
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egnyte

Build Agents, Automate Workflows, and Unlock Your Content-All in One Platform

Jul 7, 2026 By Sanjay Kosuri In Egnyte
88% of organizations are running AI in at least one workflow, yet nearly two-thirds report more rework than savings. The model is rarely the bottleneck. Everyone has access to the same frontier models now. The difference is what sits underneath: content that's unstructured, ungoverned, and disconnected from the workflows that need it. Fixing the content problem usually means giving AI broad access to content, and that's where governance breaks down.
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7 Hidden Risks of AI in the Workplace

Jul 7, 2026 By Teramind: User Behavior Analytics & DLP In Teramind
Is your team using AI tools at work? Without the right guardrails, you could be exposing your business to data breaches, compliance violations, and serious reputational damage — and most companies don't see it coming. In this video, we break down the 7 hidden risks of AI in the workplace — from data privacy breaches and AI hallucinations to Shadow AI, prompt injection attacks, and intellectual property complications. We also cover the best practices every organization needs to manage workplace AI risks before they become costly problems.
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Your AI Agent Could Leak Enterprise Data #Shorts #aiagents

Jul 7, 2026 By Protecto In Protecto
AI agents don't just answer questions—they access enterprise data, call APIs, interact with MCP servers, and trigger workflows. That means sensitive information like PII, PHI, HR records, pricing data, financial information, and confidential business data can flow through AI systems. In this YouTube Short, Amar Kanagaraj explains why AI governance, data security, and data sovereignty are essential for enterprise AI deployments—and how the NetScaler × Protecto integration helps organizations secure AI workflows.
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