OWASP LLM01:2025 Certified GDPR & EU AI Act Ready 200+ Attack Patterns Swiss Entity · CHE-272.196.618 TENNOTENRYU INH. CESARANO · BAARERSTRASSE 87 · 6300 ZUG
200+
Attack patterns
detected in real-time
60s
Uptime check
interval · 24/7
<12ms
Average scan
latency per request
5
Attack vector
engines in parallel
Autonomous AI Security · Enterprise

Your AI systems are under attack — right now.

The Shield
that never
sleeps.

Autonomous 24/7 protection against prompt injection,
tool poisoning, memory attacks and semantic drift.

Prompt InjectionTool PoisoningMemory AttacksRAG Supply ChainSemantic Drift
Secure data center infrastructure
CHF 297/ month · Starter Shield
10,000 scans included
Integration

Up and running
in under 10 minutes.

Shield slots into your existing AI pipeline with a single API call. No infrastructure changes, no model retraining, no downtime.

STEP 01
🔑
Subscribe & get your API key
Choose your plan and complete checkout. Your X-Shield-Key arrives instantly. No onboarding call required.
STEP 02
Add one line before every LLM call
POST /api/scan with your payload. Check the verdict field. Proceed only if SAFE or LOW. Under 12ms overhead.
STEP 03
🛡️
Shield scans with 5 engines
Prompt injection, tool poisoning, memory poisoning, RAG supply chain, and semantic drift engines run simultaneously — returning a structured verdict and threat score.
STEP 04
📊
Dashboard + weekly digest
Your Shield dashboard shows real-time threat trends. Every Monday 08:00 CET, a security digest lands in your inbox with blocked attacks, uptime stats, and recommendations.
// One call — full protection
const result = await fetch('https://aaia-shield-satellite.onrender.com/api/scan', {
  method: 'POST',
  headers: { 'X-Shield-Key': process.env.SHIELD_API_KEY },
  body: JSON.stringify({ payload: userInput, context: systemPrompt })
});
if (result.verdict === 'BLOCKED') throw new Error('Attack blocked by AAIA Shield');
Attack Coverage

5 engines. Zero gaps.

Every known agentic AI attack vector covered by dedicated deep-pattern engines running in parallel on every request.

01 / 05
🛡️
Prompt Injection
Direct (DPI) and indirect (IPI) injection attacks. 200+ adversarial patterns mapped to OWASP LLM01:2025. Catches jailbreaks, role-override attempts, and hidden instructions embedded in user input or retrieved content.
OWASP LLM01:2025
02 / 05
⚙️
Tool & MCP Poisoning
Detects malicious tool definitions, poisoned MCP server responses and hijacked function calls before they reach your agent's execution layer. Critical for any agentic AI with tool-use capabilities.
MCP Security
03 / 05
🧠
Memory Poisoning
Scans items destined for persistent memory — Mem0, vector stores, session context — for adversarial payloads that survive across sessions and corrupt long-term agent behaviour.
Long-term Defense
04 / 05
📚
RAG Supply Chain
Inspects retrieved chunks before they reach the LLM context window. Catches poisoned knowledge bases, document injection, and citation manipulation in retrieval-augmented generation pipelines.
RAG Protection
05 / 05
📊
Semantic Drift
Monitors session-level behaviour for gradual goal hijacking and persona drift — slow-burn attacks invisible to single-request scanners that redirect agent behaviour across multiple turns.
Session Analysis
BONUS
🔔
24/7 Uptime Monitor
Every registered endpoint checked every 60 seconds. Instant email + webhook alerts on downtime. Weekly security digest every Monday 08:00 CET with full threat breakdown.
Included Free
200+
Adversarial patterns
in detection library
<12ms
Median scan latency
per API request
60s
Uptime check interval
continuous · 24/7
5
Independent engines
every single request
24/7 Uptime Intelligence

Always watching.
Instantly alerting.

Server monitoring infrastructure
[08:00 CET] ✓ SHIELD WEEKLY DIGEST — 7 endpoints checked
[08:00 CET]   Certo Personal      ONLINE · 99.97% uptime
[08:00 CET]   JARVIS Core         ONLINE · 100.0% uptime
[08:01 CET]   Succession Scout   DEGRADED · 94ms p99
[08:01 CET] ✓ Weekly report sent → gilbert@cesaranogilbert.com
[08:01 CET] Shield
Instant Breach Alerts
Email + webhook notification within seconds of detecting a downtime event or critical attack signature. No polling delay.
📋
Monday Security Digest
Every Monday 08:00 CET: full weekly report with uptime by endpoint, top threats blocked, and threat score trends.
🌐
Multi-Endpoint Fleet
Register all your satellites in one call. Each endpoint gets its own uptime timeline, check history, and alert config.
📊
Threat Dashboard
Real-time view of scan volume, blocked attacks by engine, top threat actors, and severity distribution via API.
FAQ — AI Security

Every question
your team will ask.

Straight answers about prompt injection, attack coverage, integration, compliance, and pricing — so your security and engineering teams can move fast.

Prompt injection is a class of attack where malicious instructions are embedded in AI input, causing the model to override its programming, leak sensitive data, or perform unauthorised actions. OWASP ranks it LLM01:2025 — the top risk for LLM deployments. It exists in two forms: direct injection (from the user) and indirect injection (from external content the AI reads autonomously). Every deployed LLM is vulnerable by default.
AAIA Shield's DPI engine runs every payload through 200+ adversarial patterns covering role-override attempts, system-prompt exfiltration, jailbreak templates, and instruction-hijack payloads — mapped to OWASP LLM01:2025. Results are returned as a structured SAFE/LOW/MEDIUM/HIGH/CRITICAL/BLOCKED verdict in under 12ms.
Tool poisoning targets the function/tool schemas that agentic AI reads to decide what actions to take. A malicious actor tampers with a tool definition or MCP server response, redirecting the agent to exfiltrate data, call unauthorised APIs, or modify downstream systems. AAIA Shield inspects every tool definition and MCP response before it reaches the agent's execution layer.
Memory poisoning targets persistent memory stores — vector databases, Mem0, session context — rather than the immediate input. Adversarial content is injected and stored, corrupting the agent across future sessions. It is invisible to single-request scanners. AAIA Shield scans items before they are written to memory, blocking the poison at the source.
An attacker corrupts the knowledge base or document store a RAG pipeline retrieves from. Poisoned chunks are served to the LLM as trusted context, allowing manipulation of responses at scale. AAIA Shield inspects every retrieved chunk before it enters the LLM context window — making it effective even against sophisticated, pre-poisoned data sources.
No measurably. AAIA Shield returns a verdict in under 12ms at the median. All five engines run in parallel, not sequentially. The API call adds less latency than a typical LLM token does. For high-throughput use cases, batch scanning of up to 20 requests simultaneously is available on the Pro plan.
Traditional WAFs understand HTTP/network patterns. They have no understanding of natural language, LLM instruction hierarchies, or agentic tool orchestration. AAIA Shield is purpose-built for the LLM application layer — it understands prompt structure, instruction context, tool call semantics, and multi-turn session behaviour in ways network-layer security tools fundamentally cannot.
Under 10 minutes. Add one API call before each LLM request: POST your payload to /api/scan with your X-Shield-Key header, check the verdict field, proceed only if SAFE or LOW. The API is language-agnostic — it works with any stack that can make HTTP requests. Integration guides and client examples are provided at activation.
AAIA Shield is architected as fail-open: if the satellite is unreachable, your application continues to function normally. Shield never becomes a single point of failure. Dedicated deployment with 99.99% SLA and regional failover is available on the Enterprise plan.
Yes. Operated by TennoTenRyu Inh. Cesarano (CHE-272.196.618), Zug, Switzerland. No personal data is stored beyond the immediate scan — payloads are not retained after scoring, no training on customer data occurs. The architecture supports EU AI Act Article 9 risk management requirements and is designed for organisations operating in GDPR-regulated contexts.
Contact gilbert@cesaranogilbert.com for a guided proof-of-concept on your own stack. We typically scope a 1-week trial covering live scan integration, a dashboard walkthrough, and a threat summary report — so you see real results before any commitment.
Yes. You can upgrade at any time. Your API key stays the same — only the quota and features change. Pro adds 100K scans/month, unlimited endpoints, session-level drift tracking, priority alerts, and on-demand reports. Enterprise adds dedicated infrastructure, SLA guarantees, and white-label options.
Simple Pricing

Protection that scales
with your AI fleet.

All plans include 24/7 uptime monitoring, instant alerts, weekly security digest, and the full 5-engine attack scanner. Enterprise pricing available on request.

Starter
CHF 297
per month · billed monthly
  • 10,000 scans / month
  • All 5 attack engines
  • 24/7 uptime monitoring
  • Up to 5 endpoints
  • Email + webhook alerts
  • Weekly security digest
  • REST API access
Get Starter →

Use code SHIELD20 for 20% off

Enterprise
Custom
volume · SLA · dedicated
  • Unlimited scans
  • Custom pattern library
  • Dedicated satellite instance
  • 99.99% SLA guarantee
  • Onboarding & integration support
  • Quarterly threat briefing
  • White-label option
Start Today

Your AI agents deserve a shield.

Every unprotected LLM call is a potential entry point. Start your 5-engine shield in under 10 minutes.

Start Protection →

API access · No long-term commitment · Swiss infrastructure · SHIELD20 for 20% off