Comprehensive セキュリティのベストプラクティス Tools for Every Need

Get access to セキュリティのベストプラクティス solutions that address multiple requirements. One-stop resources for streamlined workflows.

セキュリティのベストプラクティス

  • AI/ML powered application security for secure deployment in multi-cloud environments.
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    What is Pervaziv AI?
    Pervaziv AI is an advanced solution designed to enhance the security of applications using AI/ML technologies. It enables users to scan, remediate, build, and deploy applications securely within multi-cloud environments, including Microsoft Azure, Google Cloud, and Amazon Web Services. The product leverages AI and machine learning models trained on an extensive database of vulnerabilities to detect and mitigate threats efficiently, thereby improving the security and performance of applications. With a range of features designed to meet industry standards and best practices, Pervaziv AI offers a robust and user-friendly solution for modern DevSecOps workflows.
  • Sectricity RedSOC is an AI agent that enhances cybersecurity through automated hacker scans.
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    What is Sectricity RedSOC Pl...?
    Sectricity RedSOC leverages artificial intelligence to conduct automated vulnerability scanning, analyze system weaknesses, and provide actionable insights for improving cybersecurity measures. This AI-driven agent continuously monitors systems for potential threats and alerts users about security violations, offering solutions for proactive risk management. Organizations using RedSOC can ensure their data integrity and security in a constantly evolving digital landscape.
  • AI Agent that generates adversarial and defense agents to test and secure conversational AI through automated prompt strategies.
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    What is Anti-Agent-Agent?
    Anti-Agent-Agent provides a programmable framework to generate both adversarial and defensive AI agents for conversational models. It automates prompt crafting, scenario simulation, and vulnerability scanning, producing detailed security reports and metrics. The toolkit supports integration with popular LLM providers like OpenAI and local model runtimes. Developers can define custom prompt templates, control agent roles, and schedule periodic tests. The framework logs each interaction, highlights potential weaknesses, and recommends remediation steps to strengthen AI agent defenses, offering an end-to-end solution for adversarial testing and resilience evaluation in chatbot and virtual assistant deployments.
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