Best AI Agent Security Platforms for Microsoft Azure

Akto is an open source, instant API security platform that takes only 60 secs to get started. Akto is used by security teams to maintain a continuous inventory of APIs, test APIs for vulnerabilities and find runtime issues. Akto offers tests for all OWASP top 10 and HackerOne Top 10 categories including BOLA, authentication, SSRF, XSS, security configurations, etc. Akto's powerful testing engine runs variety of business logic tests by reading traffic data to understand API traffic pattern leading to reduced false positives. Akto can integrate with multiple traffic sources - Burpsuite, AWS, postman, GCP, gateways, etc.

Prompt Security allows businesses to leverage Generative AI while safeguarding against various risks that could affect their applications, workforce, and clientele. It meticulously evaluates every interaction involving Generative AI—ranging from AI applications utilized by staff to GenAI features integrated into customer-facing services—ensuring the protection of sensitive information, the prevention of harmful outputs, and defense against GenAI-related threats. Furthermore, Prompt Security equips enterprise leaders with comprehensive insights and governance capabilities regarding the AI tools in use throughout their organization, enhancing overall operational transparency and security. This proactive approach not only fosters innovation but also builds trust with customers by prioritizing their safety.

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.

Pillar Security serves as a comprehensive AI security platform designed to safeguard the agentic workforce throughout the entire AI lifecycle, encompassing stages from development to deployment and ongoing runtime protection. By integrating business context during phases of discovery, testing, and protection, it ensures that security intelligence accumulates across various AI applications, including agents, models, prompts, frameworks, tools, MCP servers, skills, coding agents, and both SaaS and cloud environments. The platform enables organizations to identify and manage AI assets effectively, even those that are unapproved or fall under shadow AI, while also evaluating risks related to supply chain and overall security posture. Additionally, it maps out the attack surfaces associated with agentic systems and verifies critical vulnerabilities that need addressing. With its AI Security Posture Management features, Pillar scrutinizes interconnected agents, tools, permissions, data sources, prompts, models, and supply chain elements to reveal high-risk pathways, policy breaches, misconfigurations, and potential threats posed by coding agents, all of which enhance the understanding of the impact when a single component encounters a breach. Ultimately, Pillar Security empowers organizations to maintain a robust security framework while navigating the complexities of AI technology.

Unify your AI governance initiatives amongst various stakeholders, guarantee that your governance procedures are primed for regulatory compliance, and effectively assess and control your AI-related risks and adherence to regulations. Transition from disjointed teams and processes to a consolidated source of reliable governance that simplifies the effective management of all your AI and machine learning projects. Keep informed on the latest regulations and standards with AI Policy Packs designed to comply with both current and emerging rules. Credo AI functions as an intelligence layer that integrates with your AI systems, converting technical documentation into practical insights regarding risk and compliance for product managers, data scientists, and governance professionals. By enhancing your technical and business infrastructure, Credo AI also provides risk and compliance metrics that can guide decision-making across your organization. This comprehensive approach not only streamlines governance but also fosters a culture of accountability and transparency in AI development.