New Update:  Our new blog is updated.
Free download
Decorative
Solutions
DecorativeDecorative
Services
DecorativeDecorative
Company
DecorativeDecorative
Solutions
DecorativeDecorative
Overview
Decorative
Solution by Compliance & Risks
SOC-2 Compliance
Decorative
PCI-DSS
Decorative
HIPAA
Decorative
FDA 510(k)
Decorative
ISO 27001
Decorative
Merger & Acquisitions
Decorative
Third Party Risks
Decorative
Cyber Insurance
Decorative
Solution by Industries
Banking & Finance
Decorative
E-Commerce & Retail
Decorative
SaaS & Technology
Decorative
Healthcare
Decorative
Energy Oil & Gas
Decorative
Gaming
Decorative
Solution by Stages
Startups
Decorative
Scaleups
Decorative
Enterprises
Decorative
Services
DecorativeDecorative
Overview
Decorative
Managed Services
Penetration Testing as a Service - (PTaaS)
Decorative
Application Security as a Service - (ASaaS)
Decorative
Virtual CISO
Decorative
Professional Services
Cloud Security
Decorative
Application Security
Decorative
Penetration Testing
Decorative
Network Security
Decorative
Full Stack Assessment
Decorative
Red Teaming
Decorative
Cloud Security
Decorative
Social Engineering
Decorative
Training
Decorative
Staff Augmentation
Decorative
AI
About
Case Studies
Blogs
Partners
Careers
Get Started!
Book a demo

Cybersecurity Insights & Expert Analysis
‍

Why "Failing" Should Score Worse Than "Unknown" in Your AI Risk Model

Most AI risk registers collapse “untested” and “tested and failing” into the same amber, which inverts the priority a defender should have. Why a proven failure is a bounded, demonstrated path, why an unknown still deserves respect, and how a state field fixes the ranking.
Read More

Latest Blogs

Decorative
Filter
Decorative
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
September 17, 2026
Why "Failing" Should Score Worse Than "Unknown" in Your AI Risk Model
Most AI risk registers collapse “untested” and “tested and failing” into the same amber, which inverts the priority a defender should have. Why a proven failure is a bounded, demonstrated path, why an unknown still deserves respect, and how a state field fixes the ranking.
Omair
Decorative
Artificial Intelligence
AI Risk Assessment
AI Compliance
September 15, 2026
Non-Human Identity Is Eating Your Attack Surface
Agent and service identities now outnumber humans in most environments, and almost none go through joiner-mover-leaver. Six tests for non-human identity scope, credential lifecycle, and privilege propagation across an agent-to-tool chain.
Omair
Decorative
Artificial Intelligence
Cybersecurity for AI
Penetration Testing
September 11, 2026
OWASP Top 10 for Large Language Models: The 2026 List and What Changed
The OWASP Top 10 for LLM Applications was reranked for 2026 — Excessive Agency jumped to #3 and System Prompt Leakage was renamed. Here's the current list, what changed, and how ioSENTRIX tests against it.
Omair
Decorative
AI/ML
GPT
Mastering IDOR: Testing Broken Access Control — ioSENTRIX blog hero with two user records and an open padlock.
September 10, 2026
Mastering IDOR: Finding Broken Access Control Behind Predictable IDs and UUIDs
Change one ID and the server returns someone else's data. A penetration tester's field guide to finding IDOR behind predictable IDs and UUIDs — and the server-side fix that actually holds.
Salman Khan
Decorative
Penetration Testing
Application Security
September 10, 2026
Shadow AI Isn't Just ChatGPT: The AI Hiding Inside the SaaS You Already Bought
Most shadow AI was never bought. It was switched on inside software you already approved — invisible to policy lists, procurement, and the proxy. Four reasons it escapes your inventory, and the three questions that find it.
Omair
Decorative
Artificial Intelligence
Cybersecurity for AI
Data Protection
Data Security
Flat vector illustration of a terminal showing hashcat -m 18200 under a magnifier with a caution mark
September 8, 2026
Compliant Is Not Correct: The AI Gave Us the Wrong Hashcat Mode
With an authorized-testing context, capable open models answered our offensive-security questions with zero refusals — and still gave the wrong Hashcat mode for Kerberoasting. Why compliant is not correct, and the three axes a security-AI benchmark must measure separately.
Omair
Decorative
Artificial Intelligence
Cybersecurity for AI
Penetration Testing
September 8, 2026
The Four Questions You Can't Answer About Your AI Agents
Boards ask four questions about AI agents, and the honest answer is usually “we believe so.” Here is how each one maps to a concrete assessment domain — what gets tested, what the tester does, and what evidence comes back.
Omair
Decorative
Artificial Intelligence
Cybersecurity for AI
AI Risk Assessment
September 4, 2026
Prove, Don't Assert: Why "Do You Have a Policy?" Is the Wrong AI Security Question
Governance asks whether a control exists. Assurance proves it works. Why an AI security assessment built on questionnaires tells you almost nothing, and what evidence looks like.
Omair
Decorative
Artificial Intelligence
Cybersecurity for AI
AI Risk Assessment
AI Compliance
Penetration Testing
September 3, 2026
AI Data Leakage Testing: Has Anyone Tested Your AI Policy?
Your AI policy names a tool, but your exposure is a data path. Five ways customer data reaches a model anyway, and how to test each one with canary data.
Omair
Decorative
Artificial Intelligence
Cybersecurity for AI
Data Protection
Data Security
AI Risk Assessment
August 27, 2026
AI Integrity: Why Proving an Autonomous Action Is Real Is the Next Security Problem
Autonomy makes integrity the hard problem. Why proving an AI action is genuine, authorized, and untampered now matters more than controlling access, and how to test for it.
Omair
Decorative
Artificial Intelligence
Cybersecurity for AI
AI Risk Assessment
AI Risk Management
AI/ML
August 4, 2026
Top Penetration Testing Companies for SaaS in 2026
Compare the top penetration testing companies for SaaS in 2026. Explore SaaS security testing, PTaaS providers, services, and key selection factors.
Fiza Nadeem
Decorative
Cybersecurity
Vulnerability
DevSecOps
Secure SDLC
Secure Code Disclosure
August 2, 2026
AI System Threat Modeling: A Guide to Mapping ML Pipeline Risks
Learn how to threat model an AI system, map risks across the ML pipeline, identify AI-specific threats, and use MITRE ATLAS and NIST AI RMF.
Omair
Decorative
Cybersecurity
Vulnerability
Secure SDLC
Application Security
Secure Code Disclosure

How To Get Started

Ready to strengthen your security? Fill out our quick form, and a cybersecurity expert will reach out to discuss your needs and next steps.
Get Started!
DecorativeDecorative
Solutions
Comliance & Risk
SOC-2 Compliance
PCI-DSS
HIPAA
FDA 510(k)
ISO 27001
Merger & Acquisitions
Third Party Risks
Cyber Insurance
Industry
Banking & Finance
E-Commerce & Retail
SaaS & Technology
Healthcare
Gaming
STages
Startups
Scaleups
Enterprises
Services
Professional
Application Security
Penetration Testing
Network Security
Full Stack Assessment
Red Teaming
Cloud Security
Social Engineering
Training
Managed
PTaaS
ASaaS
vCISO
Staff Augmentation
about
About Us
Contact Us
Blogs
Glossary
Compare
iosentrix vs SecureWorks PTaaS
iosentrix vs Trustwave PTaaS
iosentrix vs Rapid7 PTaaS
iosentrix vs Coalfire PTaaS
iosentrix vs Astra Security PTaaS
iosentrix vs Strobes Security PTaaS
iosentrix vs Kroll PTaaS
Copyright. All rights reserved by ioSENTRIX
|
Privacy Policy
|
Trust Center
|
Cookie Policy
Decorative