Akamai Launches AI Assistant for Web Security Analytics

Akamai has released an AI-powered assistant designed to accelerate security investigations within its Web Security Analytics platform, marking the company's first step toward embedding AI capabilities across its application protection suite.

The new tool allows security operations center (SOC) and application security teams to query security data using conversational prompts rather than manually navigating dashboards and filters. Analysts can ask questions in plain language to build views, apply filters, and surface relevant activity patterns without clicking through multiple interface controls.

Why it matters

Security teams face mounting pressure to investigate faster while alert volumes continue climbing. Tools that reduce the mechanical overhead of investigation—without removing human judgment from decision-making—can help organizations respond to genuine threats more quickly while avoiding analyst burnout. Akamai's approach keeps humans in the loop for all decisions while automating the tedious navigation and data-gathering steps that slow investigations.

Core capabilities

The assistant includes several investigation-focused features. A View Manager component interprets natural language requests to construct or modify Web Security Analytics views, adjusting timeframes and traffic filters based on conversational input. A documentation assistant surfaces relevant technical guidance from Akamai's knowledge base directly within the investigation workflow.

A Security View Analyzer evaluates active data views and summarizes activity trends, anomalies, emerging threat patterns, and associated Common Vulnerabilities and Exposures (CVEs). This analysis gives investigators a contextual starting point rather than requiring manual review of every chart and metric.

When the system identifies potential issues, it can surface prioritized remediation opportunities and guide authorized users through response workflows, including Web Application Firewall (WAF) rule tuning and custom rule creation. The tool prepares next steps but requires human review and activation before any changes take effect.

Enterprise controls and future direction

Akamai designed the assistant with role-based access controls, model isolation, and privacy safeguards to align with enterprise security governance requirements. The company emphasized that the tool reduces manual effort while keeping investigation and response decisions under human control.

Akamai selected Web Security Analytics as the launch point because security teams already use it as a primary interface for investigating application security events and validating protection measures. The company plans to expand AI assistance across its broader application protection platform over time, eventually supporting asset visibility, posture management, threat discovery, and optimization workflows.

The initial release focuses on helping analysts understand what changed, determine which activity matters, and identify appropriate next steps—core questions that drive most security investigations but often require time-consuming manual work to answer.

Details of the AI Assistant for Web Security Analytics were first reported by Akamai.