FAQ & Concepts

Agentic AI & Security Framework

Integrating autonomous artificial intelligence agents into business workflows delivers historic productivity gains, but demands an absolute control framework. Discover how we merge operational performance, sovereignty, and security.

FAQ

FAQ & Core Concepts

Explore the essential concepts of agentic AI, Agentic's services, and how we meet leadership expectations regarding governance and security.

What does agentic-fr.com offer?

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Agentic is a specialized engineering and consulting firm focused on deploying Sovereign Agentic AI Architectures.

We guide organizations through every stage of their technological transition:

  • Audit & Diagnosis: Evaluating technical maturity and identifying AI use cases with high ROI.
  • Strategic Consulting: Defining architectures and selecting the most appropriate frameworks.
  • Sovereign Deployment: Safely deploying agents on your own servers (On-Premise) or within your Private Cloud, guaranteeing no data goes to unauthorized third parties.
  • Training & Maintenance: Transferring skills to your teams and maintaining system operations.

What is agentic AI and how does it differ from traditional generative AI?

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Traditional generative AI (like standard chatbots) is reactive: it waits for a user prompt to generate a text response in a single run.

Agentic AI is proactive and autonomous. An AI agent uses language models as a "reasoning engine" capable of:

  • Planning: Breaking down a complex objective into multiple logical steps.
  • Using tools: Interacting with APIs, databases, or running external scripts via the Model Context Protocol (MCP).
  • Memorizing: Keeping track of execution state and history in a transient or persistent memory.
  • Collaborating: Working together with other specialized agents (multi-agent systems).

Why does agentic AI require specific security and governance?

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Because AI agents have autonomy of action and access to information systems, they introduce new risk vectors (identified by OWASP in the ASI Top 10):

  • Agent Goal Hijacking: Indirect prompt injections (e.g., from an email or PDF analyzed by the agent) can hijack the agent's instructions without the user knowing.
  • Tool Misuse: An agent with compromised reasoning could trigger destructive API calls.
  • Data Leakage: Inadvertent exfiltration of confidential corporate data or secrets.

Traditional firewalls and basic system prompts are unable to block these behavioral risks. Our security suite resolves this challenge by wrapping each agent in 6 deterministic control barriers.

How do your architectures protect our confidential and personal data (GDPR)?

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We apply Privacy by Design and data sovereignty principles:

  • Local Redaction (PII Redactor): A local module (in RAM) inspects and masks sensitive PII (emails, cards, credentials) before sending any request to a third-party LLM.
  • Encryption at Rest: Workflow checkpoints are encrypted using a double AES-256-GCM envelope system and HKDF key derivation (NIST-compliant).
  • Sovereign Isolation: Strict multi-tenant logical isolation at the RAG (Vector Stores) layer prevents any information leaking between different clients.

How do your solutions anticipate the obligations of the EU AI Act?

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Our framework natively integrates obligations from the European AI Act (EU AI Act) to ensure your immediate compliance:

  • Human Oversight & Kill Switch (Art. 14): Allowing operators to instantly freeze workflow execution via a deterministic emergency stop button.
  • Traceability (Art. 12): Automatic, cryptographically chained, and non-repudiable logging of all agent actions.
  • Transparency (Art. 50): Systematic validation that all user-facing responses contain the mandatory AI disclosure notice.

How do you reassure our technical teams and CISO about system robustness?

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For technical experts, our framework applies recognized banking and defense-grade hardening standards:

  • KMS Key Isolation: The Ed25519 private keys used to sign audit logs are never held in RAM; signing is delegated to an external KMS (Key Management Service).
  • Persistence & Anti-Replay via Redis: We centralize JWT replay blacklists (JTI) and tool-call idempotency (MCP) on a shared cache.
  • Envelope Encryption (NIST SP 800-57): Key derivation via HKDF separating encryption roles (AES-GCM) and authentication roles (HMAC-SHA256).
Zero Trust

Our 6-Boundary Security Architecture

To mitigate the behavioral risks of AI (goal hijacking, execution errors), our security suite wraps the agent at every stage of its decision cycle.

1. Input Control (Intake & Kill Switch)

Filters incoming queries and eliminates malicious injection attempts (jailbreaks) via Unicode normalization. Integrates a deterministic emergency kill switch ensuring permanent human oversight at all times.

2. Context Isolation (Secure RAG)

Ensures logical partitioning of databases and documentation. The agent only accesses information strictly authorized for its profile, preventing leaks of trade secrets or multi-tenant information.

3. Policy Engine

A deterministic rules engine pre-action validates every agent call. Risky actions (wire transfers, external emails) are suspended pending explicit human validation (Human-in-the-Loop).

4. Tool Sandboxing (MCP)

Validates identity and cryptographic integrity (Ed25519 signatures) of APIs and systems connected to the agent. An idempotence cache prevents accidental duplicate transactions.

5. Output Control (Pydantic Output)

Inspects generated responses before rendering them. Ensures required formatting and forces the mandatory AI interaction notice (EU AI Act Art. 50) to inform the end user clearly.

6. Secure Logging & SIEM

Guarantees traceability of agent reasoning and choices (EU AI Act Art. 12) via a tamper-proof and non-repudiable Ed25519 cryptographic log chain, directly forwarded to corporate SIEMs.

Ready for your secured agentic transition?

Contact our engineers for an opportunities diagnosis or a security framework evaluation.

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