Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How to Securely Roll Out Enterprise AI in 90 Days #shorts #aisecurity

Jul 20, 2026 By Protecto In Protecto
Planning an enterprise AI rollout in 90 days? Establishing a robust AI Gateway Architecture is the critical first step to ensuring data compliance, enforcement, and security. Letting application traffic run straight to LLMs exposes your organization to severe security and compliance liabilities.
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CrowdStrike

Beyond the Model: Harnessing Frontier AI for Stronger Cyber Defense

Jul 20, 2026 By Joel Spurlock In CrowdStrike
Frontier AI is fundamentally changing the pace of cybersecurity. For defenders and adversaries alike, it compresses the time required to discover vulnerabilities, assess exploitability, and act. AI models can reason across entire codebases, identify complex vulnerability chains, and generate exploit paths at a speed and scale that was previously impossible. That's a breakthrough for defenders, but it's also a preview of how quickly adversaries will evolve.
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Build vs. Buy AI App Development in 2026 (When Everybody Is an AI Expert)

Build vs. Buy AI App Development in 2026 (When Everybody Is an AI Expert)

Jul 20, 2026 By SecuritySenses In SecuritySenses
AI expertise is cheap to claim these days. A short course, a couple of weekend projects, and a working prototype are usually enough for someone to call themselves a specialist. Getting an AI system to survive real production traffic is another matter entirely, and a lot of companies are learning that the hard way in 2026.
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How I'd Plug the MiniMax M3 API Into a Coding Agent Without Rebuilding the Stack

How I'd Plug the MiniMax M3 API Into a Coding Agent Without Rebuilding the Stack

Jul 20, 2026 By SecuritySenses In SecuritySenses
Every time a promising new model shows up, I run through the same mental math before getting excited: how much of my existing agent setup survives the swap, and how much do I have to tear out and rebuild just to try it. Most of the time the answer is "more than I'd like," which is exactly why I ignore half the models that cross my feed. MiniMax M3 is one of the rare ones where the answer turned out to be "almost none of it," and it's worth walking through why, because the reasoning applies beyond just this one model.
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appsentinels

The Agentic Attack Surface Is Growing Faster Than Your API Inventory. Here's How to Catch Up

Jul 17, 2026 By AppSentinels In AppSentinels
Ask any security leader how many APIs their organization runs, and you’ll usually get a confident number. Ask them how many of those APIs are actually being called by an AI agent, a copilot, or an automated workflow right now, and the confidence tends to disappear. That gap is the problem. APIs have always outpaced the inventories built to track them; new services ship every sprint, integrations get added without a ticket, and old endpoints get deprecated without ever being switched off.
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datadog

How we brought agentic workflows to Cloud SIEM with the Datadog MCP Server

Jul 17, 2026 By Datadog In Datadog
Security engineers using Cloud SIEM spend their day-to-day investigating signals, tuning detection rules, managing suppressions, running historical jobs across interconnected workflows, and more. Agents are becoming a practical way to navigate that complexity, and we built a set of security tools for the Datadog MCP Server to support them. Cloud SIEM is only one part of a broader cloud security ecosystem, so the Security MCP toolset has to grow across many teams and products.
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Agent verification might just be KYC/KYB

Jul 17, 2026 By Persona In Persona
Every time a card gets issued or a payment moves, something has to decide, in milliseconds, whether it's legitimate. That's the problem Robin Gandhi, chief product officer at Lithic, solves every day. Lithic builds the programmable infrastructure behind modern card issuing and money movement for developers, digital banks, and financial institutions.
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miniorange

AI Agent Identity: Securing Desktop, SaaS, and Enterprise AI Agents

Jul 17, 2026 By Stutee Raja In miniOrange
Your enterprise probably has a few thousand employees with managed identities. HR provisioned them, IT governs them, and your IAM platform watches them. Now count the AI agents running across your org. The Claude Code and codex instance that sit inside every dev's IDE. The Salesforce Einstein bot with access to every open deal. The Zapier AI that reads your CRM, writes to your Slack, and forwards summaries to email. You can't count, secure, or govern them with traditional IAM, can you?
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protecto

Protecting PHI Beyond Names and ID Numbers

Jul 17, 2026 By Shankar Rajamani In Protecto
A few years ago, an Australian government health agency released what it believed was a fully de-identified dataset covering 10% of the national population. Names, addresses, and other obvious identifiers had been stripped out. Researchers showed individuals could be re-identified using nothing more than rare medical procedure codes and treatment dates cross-referenced with publicly available information. No names were needed.
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