4 个 API 安全性 SaaS 拥有漏洞赏金计划的列表
在 API 安全性 中，有 4 个 SaaS 或软件产品拥有付费漏洞赏金计划。 平均支付范围为 $100 - $500。 SaaS Browser 扫描互联网以发现所有 SaaS，并发现哪些拥有漏洞赏金计划，定期更新以确保数据新鲜度。 查看所有 1,405 个 SaaS 漏洞赏金计划
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A comprehensive security solution safeguards applications and APIs from various threats, including automated attacks, business logic abuse, and fraud, while enabling seamless integration with AI technologies. Key features include API discovery and inventory management, bot detection and mitigation, compliance monitoring, and real-time threat analysis, making it suitable for organizations across diverse industries seeking to enhance their security posture and protect sensitive data.
Aikido is a comprehensive AppSec platform designed to provide full coverage for code and cloud security, integrating seamlessly into existing development workflows. With a suite of tools that includes vulnerability management, secrets detection, and cloud posture management, it empowers teams to efficiently secure their applications while minimizing irrelevant alerts and simplifying compliance processes.
定价：
$0-$600/mo
此SaaS产品的月度定价范围。价格尽可能以月度金额为准。
API Security
此列表的类别。
有偿漏洞赏金计划
范围：Web, Api
点击查看计划详情 注册即可查看所有指标
This website offers a powerful content identification API that helps keep customers safe from harmful content. It is trusted by developers worldwide and provides high security with a strong service level agreement.
定价：
$49-$2099/mo
此SaaS产品的月度定价范围。价格尽可能以月度金额为准。
API Security
此列表的类别。
奖励：$100-$500
范围：Web, Api
点击查看计划详情 注册即可查看所有指标
Aegis Mesh functions as a comprehensive service mesh designed specifically for AI agents, providing robust governance by enforcing policies at the kernel level, preventing data exfiltration, prompt injection, and unauthorized tool access without requiring any code modifications. Its main features include zero-code change integration, kernel-level enforcement of security policies, tamper-proof audit trails, and management of AI agent behaviors such as resource allocation and compliance, thereby addressing critical risks like black box operations, security vulnerabilities, and compute waste for enterprise organizations deploying autonomous AI systems. It is aimed at technology leaders, enterprise architects, and development teams who seek to ensure security, transparency, and operational efficiency in large-scale deployments of AI agents and autonomous systems.
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