Event-driven monitoring and alerts
Gamma monitors activity in cloud applications and flags security mistakes as they happen, then notifies the affected employee so the issue can be remediated quickly.
Gamma is a cloud DLP and security awareness product for SaaS environments. It is described on the site as an AI-powered, event-driven solution that continuously monitors employee activity in supported cloud applications and notifies users when a security mistake is made.
The product’s stated purpose is to reduce cloud data risk by combining detection and user remediation. The homepage highlights contextual data classification, broad coverage across applications and devices, and end-user guidance so organizations can respond to risky behavior without waiting for manual review.
Gamma monitors activity in cloud applications and flags security mistakes as they happen, then notifies the affected employee so the issue can be remediated quickly.
The homepage describes advanced deep learning for data classification and claims 99.5% accurate classification in its value proposition.
Gamma is positioned for one-click deployment across applications, devices, and users, which suggests a broad rollout model rather than a single-app connector.
The product emphasizes instant remediation for end users, making the training part of the workflow part of the response rather than a separate program.
The site lists supported ecosystems across collaboration, storage, and business applications, including Slack, Gmail, Outlook, Google Drive, Box, Dropbox, Salesforce, Jira, GitHub, and Confluence.
Security and privacy pages state that Gamma uses read-only access, OAuth 2.0 tokens, encryption in transit and at rest, and discards monitored content after analysis.
Use Gamma to monitor employee activity in cloud apps and surface risky actions as they occur, especially where data is spread across multiple SaaS tools.
Use the product to help employees correct security mistakes in the moment instead of handling them only after a review cycle or incident investigation.
Use Gamma when your environment includes collaboration, storage, and business platforms that need broad DLP coverage across everyday SaaS workflows.
Use the product to reduce the manual effort of spotting violations by relying on its automated classification and alerting workflow.
Gamma is designed to monitor activity in supported cloud applications and alert users when a security mistake is detected. The source materials describe it as an event-driven security awareness training solution with real-time notifications and end-user remediation.
The site lists collaboration platforms such as Slack, Gmail, Outlook, Mattermost, and Microsoft Teams; storage platforms such as Google Drive, Box, Dropbox, and OneDrive; and business applications such as Salesforce, Jira, GitHub, and Confluence. The source does not show a full supported-integration matrix.
Gamma’s security page says data entering or leaving its infrastructure is encrypted with TLS 1.2 or higher, data at rest is encrypted with AES-256, and access uses revocable OAuth 2.0 tokens rather than stored corporate passwords.
The pricing page shows a request-a-demo flow, but no public prices or plan details were provided in the collected source.
PerfectEssayWriter.aiは、トピックや課題要件から構成された引用付きの下書きを生成するAIエッセイ作成ツールです。アウトライン、引用、文法、盗用、AI検出にも対応。
Bluejayは、AIエージェント向けのQAプラットフォームです。音声・チャットシステムのテスト、監視、改善を支援し、デプロイ前後のシミュレーション、運用再生、可観測性、比較テストに対応します。
Walter Writes AIは、AI生成テキストを自然な文章に書き換え、AIの兆候をチェックするツールです。ライター、学生、マーケター、チーム向け。
Sightengineは、画像・動画・テキスト・音声をモデレートし分析するAPIプラットフォームです。安全でない、合成、ポリシー制限対象のコンテンツを検出し、結果に基づく処理を自動化できます。
Inscribeは、銀行、フィンテック、レンダー、信用組合向けのAI文書不正検知プラットフォームです。審査、口座開設、KYC/KYB、銀行口座確認で偽造・改ざん・AI生成文書を検出します。
Site24x7は、Webサイト、サーバー、アプリケーション、クラウドリソース、ネットワークを監視するデジタル体験監視・オブザーバビリティ基盤です。1つのコンソールで稼働状況、性能、ログ、ユーザー体験の異常を検知できます。