Elastic vs Pegasystems

An AI security-operations layer that correlates alerts from a customer's existing security tools, prioritizes threats and guides response workflows without replacing their SIEM.

GenAI- and ML-driven capability inside Elastic Observability that automatically detects, diagnoses and helps resolve operational issues, providing recommended actions for SREs.

Monitoring capability inside Elastic Observability for generative-AI and agentic applications: performance, cost control, guardrail tracking and reliability for GenAI workloads.

Agentic security-operations platform unifying SIEM, XDR and native automation, with autonomous agents handling detection-to-response workflows and purpose-built AI skills for threat hunting, alert analysis and detection engineering; supports multiple LLMs including on-premises models.

A builder for custom AI agents that answer questions and take actions over data indexed in Elasticsearch, using configurable tools, skills and prompts.

An automation engine that runs both scripted steps and AI agents which reason through investigations and execute response actions against data in Elasticsearch.

A conversational assistant embedded in Kibana that answers natural-language questions against a customer's own indexed data across Elastic's Observability, Security and Search solutions.

Pega's real-time decisioning engine for marketing and customer experience teams: it picks the next best action for each customer across web, mobile, email, in-store and phone, and uses GenAI to adjust content and messaging as it runs. One of the products in the Pega Infinity portfolio.

A generative-AI tool for marketing and CX teams to design customer journeys and preview AI-driven personalization strategies, whose output can be imported into Pega Customer Decision Hub.

Automates customer-service journeys using AI-driven workflow automation and robotic process automation.

An always-on generative-AI mentor embedded in Pega workflows that analyzes in-progress work and gives step-by-step guidance to help users complete cases correctly.

An AI knowledge assistant that connects to existing enterprise content stores and answers questions from customers and employees across customer-facing and employee-facing applications.

Applies real-time predictive AI and event processing to running workflows to predict and prevent SLA breaches, address service delays proactively, and route work more effectively.

An orchestration layer that registers AI agents, workflows and data from Pega and third-party systems into a unified directory and routes user requests to the right agent or workflow, with support for MCP and agent-to-agent communication.

Pega's platform for orchestrating agents, people and systems on the same work: Blueprint generates the workflow design, Pega GenAI runs inside it, and the decisioning engine the company has sold for four decades is what the agents act on.