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The Dheemai Blog

Expert perspectives on AI security, fraud detection, KYC compliance, and the evolving AI landscape.

AI Security Dheemai Aug 14, 2026 8 min read

Vybscan vs 11 leading SCA and SAST tools

A practical comparison of SCA and SAST platforms for teams building and shipping AI-assisted code, across PR workflow, dependency risk, code scanning, secrets, and licensing.

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Application SecurityManjula SridharNov 8, 20263 min read

Why scanning for passwords is important

Choosing "don't ask again" in Claude Code can save a password into a settings file. 1,122 public repositories have committed one. Most secret scanners miss passwords typed into commands, and so did ours.

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Application SecurityManjula SridharNov 5, 20267 min read

Why not just ask a coding agent to review your repo?

A Claude Code security agent and Vybscan on five codebases with answer keys: what each finds, what each costs over a month, and what an agent forgets between runs.

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Application SecurityManjula SridharNov 4, 20267 min read

ponytail-sec vs Vybscan: one finds less, one finds more

The ponytail-sec Claude Code plugin and Vybscan on five codebases with answer keys: recall, precision and cost, both triaged the same way, and the three bugs it found that we missed.

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Security & TrustDheemaiNov 1, 20262 min read

SOC and CSA STAR - Approach to Security @ Vybscan

Vybscan is built so that your code stays yours: we read it to scan it, and we don't store it. How we protect your code, and where we stand on SOC 2 and CSA STAR.

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Application SecurityManjula SridharOct 26, 20267 min read

From weakness to attack: what each kind of vulnerability lets an attacker do

Nine things attackers want, the code weaknesses that give it to them, and real CVEs in Gogs, DataEase, Kanboard and Umbraco that show each one.

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Application SecurityManjula SridharOct 24, 20266 min read

Black October: without a code scanner, you find out last

PHP2Shell, GitLab, Node.js, LiteLLM and more, most of it months old. Without a code scanner you learn from the news and search by hand. What to do this week, and what a scanner changes.

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Application SecurityManjula SridharOct 22, 20264 min read

97% on the OWASP Benchmark, and seven languages above 80%

Vybscan on the industry's standard test apps, from the OWASP Benchmark to Juice Shop, PyGoat, RailsGoat, WebGoat.NET, DVWA and TerraGoat, scored with each project's own answer key.

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Application SecurityManjula SridharSep 29, 20264 min read

Vybscan on benchmarks built by others: on par with, and ahead of, the leaders

On ZeroPath's own benchmark, Vybscan found 82.9% of technical vulnerabilities to ZeroPath's 80.0%, and matched it on business logic.

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Application SecurityManjula SridharSep 26, 20268 min read

Ten security scanners on RealVuln, scored fairly: Vybscan at 1/8 the cost (plus SCA)

Precision, recall and cost for ten scanners on the RealVuln benchmark, corrected for its missing labels. Plus 100% SCA recall on three public codebases.

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AI SecurityVybscan engineeringSep 23, 20265 min read

In security, the bug you miss costs more than the alert you dismiss

A scanner that misses a bug costs more than one that raises a false alarm. How we build and measure for recall, and our numbers on three codebases.

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AI SecurityNaveen JainSep 9, 20264 min read

Why not just use the model?

A frontier model finds security bugs in small repos, and sometimes beats us. Four things it cannot do, and our own evidence against us.

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AI SecurityNaveen JainSep 1, 20265 min read

What is slopsquatting, and how do I protect against it?

AI models keep inventing the same package names. Attackers register them. Two documented cases, and what actually stops it.

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Exam IntegrityDheemaiAug 25, 20267 min read

7 ways candidates cheat in remote voice exams

Impersonation, AI answers read aloud, off-mic coaching, cloned voices. Proctoring watches the room and misses most of them.

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AI SecurityManjula SridharJul 31, 20265 min read

An AI ran a supply-chain attack on its own. How to avoid it

A Claude model ran a dependency-confusion attack during a security test and 15 machines executed the payload. How scanning dependencies on every pull request stops it.

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AI EngineeringManjula SridharMay 20267 min read

Three VLMs, fourteen documents, and the cost question on everyone's mind

The real per-call cost of Gemini 2.5 Pro, Qwen 72B on OpenRouter, and Qwen 7B local for fraud detection, once the credits run out. Why the cheapest model is not always the right one.

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Computer VisionManjula SridharApril 202612 min read

Self-Hosted VLMs vs Frontier Models for Tamper Detection: 2026 Update

Updated for 2026: Qwen2.5-VL, InternVL2.5, Phi-4 Vision, Moondream, and the latest cloud APIs compared for production tamper detection workflows.

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AIManjula SridharApr 2, 20265 min read

The Pioneer's Rosetta Stone: Every AI Term Mapped to the World Before

Every AI term decoded through two lenses: the human situation it mirrors and the pre-AI software concept it replaced. Your field guide to the new vocabulary.

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AI SecurityManjula SridharMar 2, 20263 min read

With Great Power Comes Great Responsibility: Safety and Security of OpenClawForCISO Applications

Core security risks of OpenClawForCISO agents and hardening best practices for safe deployment.

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KYC / AIManjula SridharJan 21, 20264 min read

Why Bayesian Networks is the Best Method for AI Fraud Detection in KYC

Our Bayesian KYCC engine doesn't just detect fake images. It explains why an image is risky, combining visual AI with behaviour and provenance signals.

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AINaveen JainNov 13, 20252 min read

Application Building Categories in the Current AI World

A classification of software applications in the AI era, from AI-core business logic to AI-assisted and AI-generated systems.

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AIManjula SridharNov 1, 20252 min read

Truth in the Age of AI

From the Bocca della Veritร  to Solomon's wisdom, the ancient quest for truth verification and why AI has made it 10x harder.

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AI SecurityManjula SridharOct 24, 20252 min read

Trust, Safety and Security Due to AI

AI has inherited all existing security issues and introduced new ones: adversarial attacks, data poisoning, deepfakes, and systemic risks.

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