Best IT Security Software for Anthropic

Find and compare the best IT Security software for Anthropic in 2026

Use the comparison tool below to compare the top IT Security software for Anthropic on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    PhishingBox Reviews

    PhishingBox

    PhishingBox

    $825/year
    PhishingBox is a phishing simulation, security awareness training, and human risk management platform that helps organizations reduce employee-driven cyber risk. Security teams can run realistic phishing simulations, automate follow-up training, manage cybersecurity courses through a built-in LMS, and measure risk at the user, group, and account level. AI-powered insights and risk scoring help identify high-risk users and departments so teams can prioritize coaching, improve security behavior, and reduce human risk over time. PhishingBox also includes KillPhish for suspicious email scanning and reporting, Security Inbox for phishing email triage, API access, and integrations with identity, LMS, HRIS, CRM, SIEM, and AI tools. PhishingBox is currently available as a cloud-based platform, with an on-premises deployment option planned for organizations that require additional control over infrastructure, data residency, or internal security requirements. A 14-day free trial is available with no credit card required.
  • 2
    General Analysis Reviews
    General Analysis serves as a cutting-edge AI security platform designed to aid security teams in adversarially testing, monitoring, and safeguarding AI agents and systems that are actively deployed. Its primary objective is to enable organizations to grasp AI-related risks, avert potential incidents, and secure various real-world AI applications, which include employee copilots, coding agents, customer support tools, healthcare assistants, legal aids, financial copilots, and creative workflows. By mapping out AI applications and agents through an extensive range of parameters such as prompts, retrieval methods, tools, MCP servers, browser activities, permissions, repositories, cloud accounts, SaaS workflows, and business processes, it effectively identifies context-aware attacks that highlight vulnerabilities within the system. The platform's automated red teaming employs adaptable attacker models that respond to target behaviors and generate complex multi-step exploit chains, providing security teams with the ability to discover vulnerabilities that traditional static prompt sets or endpoint-only testing might overlook. Ultimately, General Analysis empowers organizations to enhance their AI security posture while ensuring that their deployments remain resilient against evolving threats.
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