Harness vs Palo Alto Networks

Engineering-intelligence module that tracks DORA metrics, developer productivity and AI coding-tool spend together: which AI tools teams use, token consumption by developer, team, agent and model, AI-authored code and its effect on delivery.

AI Firewall blocks prompt injection, evasion, and malicious payloads targeting AI applications.

AI Posture discovers AI assets and agents and assesses their security posture.

Correlates deployment, feature flag, and infrastructure changes during incidents.

AI and Cloud Costs translates natural-language governance intent into cloud rules and remediates violations automatically.

Detects and blocks API attacks, bots and Layer 7 DDoS with behavioral AI trained on live traffic, covering credential stuffing, account takeover and business-logic abuse such as BOLA and mass assignment.

Governed AI agents defined in a committed file that run inside Harness pipelines on events such as CI failures and pull requests, with prebuilt agents for autofix, code review, code coverage, feature-flag cleanup, manifest remediation and IaCM remediation.

AI-native software delivery platform: pipelines and canary deployments, AI security testing, runtime API and AI protection, cost management and policy governance, driven by AI agents that recommend while people decide.

A cloud-delivered service within Prisma SASE that discovers shadow AI usage and applies access controls and data loss prevention to generative AI applications.

Advanced DNS Security uses AI to detect and block DNS-layer threats.

Advanced Threat Prevention uses machine learning and deep learning to detect unknown network threats.

Advanced URL Filtering uses deep learning to detect and prevent unknown web attacks.

Autonomous Digital Experience Management uses AI to baseline performance, detect anomalies, and provide remediation playbooks.

Cortex Xpanse uses supervised machine learning to map attack surfaces and prioritize remediation.

Enterprise Data Loss Prevention uses AI to classify sensitive data and prevent data loss.

Enterprise Device Security uses machine learning and AI for device discovery, risk assessment, and protection.

Medical Device Security uses machine learning to recommend access policies for connected medical devices.

Prisma AIRS AI Model Security scans AI models for malicious code, backdoors, and other risks.

Prisma AIRS AI Red Teaming uses AI agents to generate attacks against AI systems.

Prisma AIRS Agent Security verifies agent identities and blocks unauthorized agent actions.

Strata Copilot uses natural language to query infrastructure data.

Cortex AgentiX builds and runs AI agents that execute security workflows.

Cortex Cloud uses autonomous AI agents to resolve risks across code, cloud, and security operations.

Endpoint detection and response platform marketed as "the foundation of the AI-driven SOC," with an AI agent assistant (Cortex AgentiX) for investigation and response.

An AI-driven security operations platform that unifies SIEM, SOAR and detection-and-response data with automation and AI agents to run a security operations centre.

Palo Alto Networks' proprietary AI system combining machine learning, deep learning and generative AI to automate threat detection, prevention and remediation across its Strata, Prisma Cloud and Cortex security platforms.

An AI security platform that discovers, scans and protects AI models, agents, applications and data against runtime and posture threats.

Runtime gateway component of Prisma AIRS that inspects and governs traffic to and from AI models and agents.

Prisma SASE uses AI to protect users, applications, data, and devices.

SaaS Security uses machine learning to secure SaaS applications and prevent sensitive data loss.

"The first AI-powered, unified solution for network security management and operations," with an AI assistant (Strata Copilot) and purpose-built AI agents for policy optimization, threat detection and remediation.