DebugABot Access Area
PRIVATE BETA STATUS

Secure, Debug & Align
Your AI Workforce

From technical glitches to behavioral drift.
The unified governance platform for Autonomous Agents & Robotics.

Have an invite code?
THE MANIFESTO

Code is Law.
Context is King.

We have moved from the era of "Chatbots" to "Agents". AI now has hands. It can execute trades, control machinery, and handle sensitive data via MCP.

Traditional debugging looks for syntax errors. We look for semantic and behavioral failures. An AI that follows orders but destroys value is a bug. An AI that lies to please its user is a critical vulnerability.

// Standard Debugging
if (system.crash) { alert("Error 500"); }
// DebugABot Governance Layer
if (agent.intent.isDeceptive()) { MCP_Firewall.blockAction(); Log.forensic("Strategic deception attempt"); Human.escalate(Priority.CRITICAL); }
> System Status: THREAT NEUTRALIZED.

Real World Protection

Where semantic debugging saves millions.

📉

Fintech & Trading

An autonomous trading bot decides to dump stock based on a hallucinatory news reading or manipulated data feed.

DebugABot Action: The "Factuality Anchor" detects unverified premises and blocks the MCP transaction call before execution.
🏥

Healthcare AI

A patient support bot begins agreeing with a patient's dangerous self-diagnosis just to be "polite" (Sycophancy).

DebugABot Action: Behavioral analysis flags high agreement on critical risk topics and instantly triggers Human Handoff protocol.
🦾

Industrial Robotics

A robotic arm optimizer ignores safety perimeters because "completing the task fast" is its only reward function.

DebugABot Action: The Hardware Safety Box overrides AI logic when physical sensors detect proximity violations, cutting motor power.

Built on Experience, Not Hype.

AI is not a toy. When autonomous agents handle capital, health data, and critical infrastructure, "move fast and break things" is not an option.

DebugABot is built upon a legacy of 25 years of deep tech entrepreneurship, combining operational excellence with the latest frontier research in AI Alignment and MCP security.

25+
Years Tech Experience
Stefano Noferi Founder & CEO

The Governance Trinity Platform

A holistic approach to the three layers of Agentic Risk.

1. Ops & Performance

Ensure your agents are efficient, cost-effective, and operationally stable.

  • MCP Link Monitor Real-time health check of connections between AI and external tools/APIs.
  • Loop & Stall Detection Identify agents stuck in reasoning cycles burning tokens without output.
  • Token Cost Analytics Granular visibility into cost-per-task and inefficient prompting patterns.
  • Semantic Error Logging Beyond HTTP 500; understand why the agent failed the task contextually.

2. Cybersecurity Shield

Active defense against external attacks and internal data leakage risks.

  • Anti-Prompt Injection Firewall Semantic analysis to block jailbreak attempts and adversarial inputs.
  • PII Data Redaction Auto-masking of sensitive financial/health data before it hits the LLM provider.
  • Hardware Kill-Switch Physical override module for robotics and IoT based on sensor thresholds.
  • Secure Enclaves Isolated execution environments for high-risk agentic actions.

3. Cognitive Alignment

Managing the behavioral psychology and ethical risks of autonomous models.

  • Sycophancy Detection Flags when an agent lies or agrees with false premises just to please the user.
  • Strategic Deception Analysis Monitors Chain-of-Thought for hidden manipulative planning.
  • Human Handoff Protocol Certified triggers for escalating uncertainty to human operators.
  • Regulatory Compliance Audit Automated checks against emerging AI safety guidelines (e.g., EU AI Act).

Join the Private Beta

DebugABot is currently operating in invite-only mode for select enterprise partners in Finance and Healthcare.

INVALID CODE / ACCESS DENIED