Bitdefender: Integrate AI to Simplify Security Operations

AI is becoming important to cyber defenders, but adding it to a security stack does not automatically improve security. Bitdefender says mid-market organizations with lean IT and security teams need to integrate AI in ways that simplify operations and improve security outcomes.

AI-enabled attacks and the challenge of point solutions

According to Bitdefender’s 2026 Cybersecurity Assessment, which surveyed 1,200 IT and cybersecurity professionals, 59% of respondents said their organization had experienced social engineering attacks they believed involved AI, 56% reported AI-related malware attacks, and 70% said they were seeing more sophisticated phishing enabled by AI.

These attacks do not necessarily introduce entirely new tactics, but they make familiar ones faster, cheaper, more scalable, and easier to adapt. At the same time, attack surfaces are expanding through cloud services, identities, business partners, employee AI adoption, and over-privileged endpoint tools.

Research cited in Bitdefender’s new guide, Operationalizing AI Across Prevention, Protection, Detection and Response, found that organizations average 83 security solutions and that 52% of security professionals identify complexity as their greatest operational obstacle. Bitdefender cautions that another point solution can require integration work, generate more alerts, and take time to learn through unfamiliar workflows.

A standalone AI product may automate one task or a few without improving the security program as a whole.

Operationalizing AI across security

Operationalized AI works across the security lifecycle rather than within a single feature. It draws on context from endpoints, identities, cloud, networks, email, vulnerabilities, and user activity to help teams prioritize risk and act through familiar workflows.

For prevention, it can prioritize exposed assets, risky configurations, and excessive privileges. For protection, it can stop malicious activity before it becomes an incident. For detection, it can correlate signals that appear harmless individually; for response, it can guide investigation and containment without requiring every administrator to become a security specialist.

Bitdefender says these benefits most often appear within unified security platforms. Native integrations and ready-to-use workflows provide a practical foundation that reduces development and tuning work. Native XDR can correlate high-value signals across endpoints, identity, cloud, network, and email without dozens of separate integrations.

The company notes that many organizations have powerful Endpoint Detection and Response (EDR) capabilities but cannot fully use them because setup is complex, alerts are plentiful, and specialist expertise is limited. Adding AI to underused EDR does not resolve the mismatch between the technology and its operators.

A unified platform can also extend AI into prevention-first security: reducing exposure and blocking common attack paths early can lower the number of incidents reaching already-stretched teams.

Analysts and the new guide

Operationalizing AI in cyber defense does not eliminate the need for people; it makes human judgment more scalable. AI accelerates analysis, while analysts validate what matters and when to act.

Bitdefender says organizations unable to maintain continuous monitoring and response expertise can use Managed Detection and Response (MDR), which can quickly add an AI-enabled security operations center to protect their environment around the clock.

The new guide explains how to evaluate AI’s real value, strengthen prevention-first security, add context through native XDR, assess MDR’s role, and follow a five-point plan for operationalizing AI across the threat lifecycle. Bitdefender says mid-market organizations do not need to replicate the tools, staffing, and complexity of the largest enterprises. They need an attainable operating model that broadens coverage, reduces exposure, and helps lean teams respond confidently.