The Agentic Blog.
Daily updates on building secure agent ecosystems. Deep dives into AASB, OPA, and the future of AI data autonomy.
Explore practical guidance on securing AI agents, eliminating Shadow AI, enforcing OPA/Rego policy on every tool call, and preventing data loss (DLP) across enterprise LLM usage. Our articles break down the Agent Access Security Broker (AASB) model and show how routing every prompt through a governed Enterprise AI Gateway keeps company data private, audited, and under control.
#30DaysOfTrust Challenge.
Join us as we break down the Agentic Era, AASB, and the future of AI security in 30 bite-sized, zero-jargon daily lessons.
AI Coding Agent Security: What They Actually Send
Coding agents read your files, run your commands, and ship the results to an external model — thousands of times a day. Here is what actually leaves your network, why provider dashboards can't show you, and what an audit trail for agent traffic looks like.
Per-Seat vs Pay-Per-Token: AI Pricing Compared
A practical comparison of per-seat and usage-based AI pricing: how each model works, where the break-even point actually sits, when per-seat genuinely wins, the hidden costs in both, and how to decide for your organization.
AI for Non-Technical Teams Without Per-Seat Licenses
Most AI tooling is built for developers. But marketing, sales, support, and ops are the majority of your company — and per-seat pricing charges them power-user rates for light usage. Here is how to give every non-technical team AI access without buying a seat for each of them.
ISO 42001: AI Governance You Can Prove
ISO/IEC 42001 is the first certifiable AI management standard, and it is already showing up in enterprise procurement. Here is what the standard actually requires, which Annex A controls bite hardest when you buy AI instead of build it, and how to produce the evidence an auditor will ask for.
AI Cost Optimization: The Complete Guide for 2026
Everything IT and finance leaders need to know about AI cost optimization: why per-seat licensing wastes 60–80% of AI budgets, the seven levers that actually cut spend, the metrics to track, and a 30-day rollout plan.
MCP You Can Trust
A study of 9,695 MCP servers found most are vulnerable, and popularity doesn't predict safety. Here's why SecuriX's MCP is safe by design—auth, policy, PII redaction, and audit built in.
Agentic Memory Comes of Age: Inside OKF
Memory is the most important—and least mature—part of the AI agent stack. Here is how the Open Knowledge Format is finally making agent memory portable, and why that turns memory into a security boundary.
Cut Enterprise AI Costs in Half
Per-seat ChatGPT and Copilot licenses are quietly draining six figures a year for usage you can't even see. Here is how an enterprise LLM gateway cuts that bill in half, gives you a full audit trail, and blocks PII before it leaves your network.
SecuriX Is Now the Enterprise AI Gateway
We started as an Agent Access Security Broker. We are shipping as an Enterprise AI Gateway. Here is what changed, what we learned, and what you can expect from SecuriX going forward.
WebMCP: Shaping the Future of the Agentic Web
An in-depth look at WebMCP and Google Chrome Labs' webmcp-tools repository, accelerating the transition to a standardized, agent-friendly web.
The Case Against Building Your Own MCP Security
Why building an MCP security layer in-house is an architectural nightmare for B2B SaaS platforms and why offloading this infrastructure accelerates enterprise sales.
Perils of Autonomous AI
Exploring the attack surface and critical risks of autonomous AI agents, and how broker-level security can mitigate them.
Why AI Agency Requires Guardrails
AI can be confidently wrong about simple logic. As we move from chatbots to autonomous agents, SecuriX provides the mathematical boundaries needed to prevent catastrophic hallucinations.
Taming Shadow AI and Zombie Agents: 5 AI Risks SecuriX Solves
Discover how SecuriX neutralizes Shadow AI, data leakage, and the 'Zombie AI' threat to keep your enterprise data secure.
The Rise of MCP Apps: USB-C for AI
Everything you need to know about the Model Context Protocol (MCP), its explosive growth, and why security is the missing piece.
Solving the Agentic Last Mile
Why AI Agents Break Zero Trust (and How We Fix It)
Beyond OAuth: Securing the Model Context Protocol (MCP)
Why standard MCP connections fall short for enterprise security and how SecuriX provides the missing boundary layer for autonomous agents.
The 9-Second AI Catastrophe
An AI agent wiped a production database in 9 seconds. Here’s why relying on system prompts is a liability and how Secure MCP provides the solution.
IAM vs. AASB
Why autonomous AI agents require a fundamentally different trust layer than human users and legacy IAM models.
Securing Agentic AI: Maturity Model
From Ad Hoc chaos to Adaptive control—a guide for CISOs and AI platform teams to futureproof their agentic systems.
Introducing the SecuriX Playground
Experience the future of agentic security firsthand with our interactive roadmap simulation.
Introducing the Agent Access Security Broker (AASB)
How SecuriX is solving the enterprise security nightmare for autonomous AI agents by decoupling the application layer from the security layer.
The AI Agent Security Gap
Why AI agents need a security boundary layer, not master keys, and how SecuriX enforces agent access control.
The Sandbox Trap
Why folder-level folder access controls for AI are deceptive, and how SecuriX enforces security at the API layer before the AI can touch files.
The 'Digital Intern' and the Master Key Fallacy
AI agents are our new coworkers, but giving them 'God Mode' access creates a massive security gap. Here's why we need smart valves, not raw pipes.
Stop Rogue AI: Granular OAuth Control for AI Agents
Why end-users hate standard OAuth and how SecuriX builds a better trust layer for agentic systems.
Welcome to the Securix Blog
Enterprise AI agents demand enterprise-grade security. Here's how we're solving the trust layer for autonomous systems.