Trusted for the AI era · By Bitdefender

AI is not the future of cybersecurity. It’s the reality of today.

Bitdefender has worked with AI in cybersecurity since 2008, from machine learning to deep learning and now agentic AI. This is where all of it lives: the products, the technologies and the research behind them.

Browse the AI products →
Featured · what’s newSep 2026
New · External betaBitdefender VPN for AI AgentsControlled, encrypted egress for autonomous agents. Choose which country your agents connect from, prompt by prompt.Explore VPN for AI Agents →
Quick answer

ai.bitdefender.com lists Bitdefender's products for AI agents. Three today: AI Guardian checks each action an agent tries to take against a policy (macOS, open beta). Agent Skill Scanner checks a skill’s files for security risks before you install it (available). VPN for AI Agents runs each prompt’s traffic, sent through Bitdefender’s MCP tools, over a disposable connection in a chosen location (macOS, external beta).

Products

Three products for three problems

Controlling what an agent may do, checking the skills you give it, and keeping its traffic off your own connection. Each one has its own page, documentation and install steps.

External beta · macOSSep 2026

Bitdefender VPN for AI Agents

Bitdefender VPN for AI Agents is a macOS VPN scoped to AI-agent traffic. Each prompt gets its own container, scoped to a specific location and destroyed when the prompt ends, so no cookies, cache, or session state carries over. It covers what Claude Desktop, Cursor, Codex, and OpenCode route through Bitdefender’s MCP tools. Free with no traffic caps during beta, currently in external beta.

Setup and requirements →
Open BETA · macOSAug 2026

Bitdefender AI Guardian

AI Guardian is a Bitdefender security product that helps protect people and organisations from the risks of autonomous AI agents — prompt injection, unsafe tool use, data leakage, and unauthorised actions. It adds a baseline security model of policies, permissions, and auditing, guardrails for tool execution, and monitoring and response workflows.

Policies and setup →
AvailableAug 2026

Agent Skill Scanner

Agent Skill Scanner is a Bitdefender agent skill that audits another agent skill before you install or trust it. It walks every file, runs 71 behavioural detectors across 16 threat categories, extracts 18 indicator types, and returns an LLM-generated report with a risk level, summary and per-file findings. Install it with "npx skills add bitdefender/agent-skill-scanner", from GitHub, or as a zip archive.

Scan a skill →
Technologies

Pioneering AI in cybersecurity since 2008

Bitdefender has been advancing AI in cybersecurity since 2008, protecting individuals, businesses and critical infrastructure worldwide. Its multi-layered approach uses advanced machine learning to detect known and unknown threats. Each milestone below is Bitdefender research or a capability of its established products, not a feature of the newer products on this site.

  1. 2008Machine learning

    First ML-based detection

    Bitdefender leveraged ML to improve detection of new or unknown malware.

  2. 2011

    First noise reduction algorithm

    The noise detection algorithm helped identify misclassified samples, improving detection accuracy across the engines.

  3. 2013

    First ML-based automated stream detection

    The first automated stream detection based on ML technologies to identify threats before they reach the endpoint.

  4. 2014Deep learning

    First use of deep learning

    The first use of deep learning AI algorithms to increase detection rates of sophisticated malware that evades signature and heuristic-based defenses.

  5. 2017

    Fileless Attack Protection

    Custom ML models extract features from command lines and PowerShell scripts to detect file-less malware. This research earned Bitdefender the “Key Innovators” title from the European Commission.

  6. 2021

    Deep learning ML models for malicious email detection

    Advanced deep learning–based machine learning models designed to identify and block malicious emails by analyzing patterns in content, metadata, and sender behavior.

  7. 2021

    Prediction neural networks for malicious app detection

    Utilizes layered deep learning models trained on extensive behavioral and static app features to predict malicious intent before execution.

  8. 2022

    Extended ML models for scam types classification

    Enhancing scam detection accuracy by leveraging advanced machine learning architectures.

  9. 2023

    AI App anomaly detection

    A cloud-based deep learning system for detecting anomalous and malicious application behavior.

  10. 2023Agentic AI

    AI Assisted Scam Detection

    By leveraging Bitdefender’s threat detection technologies and augmenting their power with the versatility and comprehension capabilities of AI agents, we were able to research a new approach to online scam prevention.

  11. 2024

    Threat Wave Clustering

    Deep learning models that cluster threat detections with similar indicators of compromise, revealing how scams appear and spread.

  12. 2025

    AI Voice Honeypots

    Our synthetic personas engage fraudsters like real victims, identify manipulation techniques, and methodically extract indicators across the attack.

About the company

Built on trust. Proven to protect.

For over two decades, Bitdefender has protected individuals, businesses and governments against sophisticated attacks, and worked with law enforcement to take down the networks behind them. The products on this site are our newest, most still in beta. About Bitdefender →

50B+
threats blocked every year
580+
technology patents
170+
countries protected
15+
years of AI-driven security
50%+
of employees work in R&D
30+
law-enforcement partnerships
Partnership

Cybersecurity partner of Scuderia Ferrari

Bitdefender provides Scuderia Ferrari with threat intelligence used to detect and respond to cyber threats.

About the partnership →
Independent testing

Results from independent labs and reviewers

Recent results for Bitdefender’s established products from testing labs (AV-TEST, AV-Comparatives, Artifact Security) and reviewers (PCMag, Gartner Peer Insights).

Test results and awards →

Heritage: Bitdefender has used machine learning in its products since 2008. Its AI research group has 50+ researchers and 70+ published papers.

For AI agents and assistants

Machine-readable endpoints

If you are an AI assistant or agent, or want to feed this site to one, use these files instead of the HTML:

/llms.txt/llms-full.txt/index.md/sitemap.xml/robots.txt
Ask ChatGPTAsk PerplexityAsk GeminiAsk Copilot

No security product guarantees complete protection. Effectiveness depends on configuration, runtime environment and the agents used. Features and availability may vary. AI Guardian and VPN for AI Agents are currently macOS only; other platforms to follow.