AI security,
built for what's next.

We protect LLMs, AI agents, and ML pipelines from adversarial attacks, data leakage, and misuse. Then we harness AI to power autonomous cybersecurity operations.

Aligned with Industry Frameworks

OWASP AI Top 10NIST AI RMFMITRE ATLASISO 42001
Primary Offering

AI Red Teaming

We think like attackers so you don't have to. Our red team simulates real-world adversarial attacks on your AI systems to find vulnerabilities before threat actors do.

Every engagement covers the full attack surface, mapped to the OWASP AI Top 10 and MITRE ATLAS frameworks.

Explore AI Red Teaming

Prompt Injection

Direct & indirect injection vectors

Jailbreak Simulation

Bypass safety guardrails

Data Exfiltration

Extract sensitive training data

Model Abuse

Misuse & weaponization scenarios

Privilege Escalation

Gain unauthorized capabilities

Supply Chain Attacks

Poisoned models & dependencies

Live Demo

See Detection in Action

A simplified version of our PIDS rules engine, running right here in your browser. Pick a known attack pattern or paste your own prompt — nothing you type leaves this page.

Try a known attack pattern

Ctrl/Cmd + Enter to analyze0/4000

PIDS Under the Hood

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Detection Rules

Across 8 attack categories

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Languages

Multilingual injection coverage

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AI Layers

Rules + Analyzer + Verifier

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Red Team Payloads

Curated attack library

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Inline Response

Rules-only fast mode

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Sink Patterns

Taint tracking coverage

The SilverXAI Advantage

Why SilverXAI

01

Offensive-First Mindset

Built by security engineers who understand attacker methodology. We don't just scan. We simulate real attacks.

02

AI-Native Security

Purpose-built for AI/ML systems. Not legacy tools retrofitted, native understanding of LLMs, embeddings, and AI pipelines.

03

Framework Aligned

Testing methodology mapped to OWASP AI Top 10, MITRE ATLAS, NIST AI RMF, and ISO 42001.

04

Autonomous Defense

Our dual-agent SOC pits Red AI against Blue AI for continuous, autonomous threat detection and response.

FAQ

Common Questions

Five steps: we map your AI stack to define a precise scope, run the assessment against your systems, deliver a report with severity-ranked findings and proof-of-concepts, walk your team through the fixes, and retest every finding after remediation — including an attestation letter for stakeholders or auditors.

Secure Your AI Systems
Before Attackers Strike

Get a comprehensive security assessment of your AI infrastructure. Our team is ready to help you identify and fix vulnerabilities.