A shift is happening

AI-driven threats demand security that works the way you work

AI has collapsed the attack window to minutes. New vulnerabilities are weaponized within hours of disclosure. In the world of AI-driven attacks, humans have become the bottleneck. 

AI agents can now operate as an extension of the security team by processing data, understanding context, and taking action instantly. They don’t need dashboards, just access to data and the ability to take action.

That’s why it’s time for a new security model where security is delivered as API-driven capabilities designed for autonomous execution.

Cybersecurity is at an inflection point; entire attacks now unfold faster than we can manually investigate alerts. Traditional cybersecurity models weren’t designed for this pace. In a world in which the time from zero day to exploit is measured in hours, organizations that fail to empower their developers with headless approaches and allow them to address security issues within their existing tool stacks handicap their teams in the post-Mythos era.

Frank Dickson, Group Vice President, Security & Trust, IDC

The security playing field has fundamentally changed in the world of AI. When I think agentic security, Sysdig’s approach is what I want it to look like. Not another wrapper or dashboard, but rather enhanced with runtime context and agentic AI-driven capabilities that turn signals into something actionable for everyone on my team. Sysdig’s headless security platform is built for where this fight is headed, not where it used to be.

Jordan Bodily, Manager, Infrastructure Security at Commerce

We're building toward a security program where AI agents handle the volume and velocity, and our human team focuses on judgment calls and strategic risk. Headless security is the right abstraction — it lets us compose security workflows that match our actual architecture and threat model, rather than forcing us into a vendor's UI paradigm.

— Florian Bielak, CISO at BitMEX

Cloud security has reached the point where adding more tools and alerts only increases operational burdens to efficient risk mitigation in time to stay ahead of threats and attacks. In an age of AI-driven development and AI-driven attacks, enterprises need a fundamentally different model in which autonomous systems can utilize security data while applying the context to triage and act without constant human intervention. Sysdig’s headless cloud security represents a shift from human-centric workflows to machine-native operations to optimize speed and efficiency, which is essential for scaling security to meet today’s demands.

— Melinda Marks, Practice Director, Cybersecurity at Omdia
AI 環境で高まるリスク

イノベーションのあゆみを止めずにAI を守ります

問題
解決策
シャドーAIが見えないところで使われている
承認済みAIもシャドーAIも含めて環境全体を一元管理
コンプライアンスへのプレッシャーが高まっている
新しいAI規制に備え、ワークロードやリスクを可視化し先手を打つ
チームには AI を保護する経験が不足している
専用設計のソリューションで、経験に関係なく簡単にAIセキュリティを導入
Why Sysdig

Your runtime execution layer for autonomous, AI-driven security

Sysdig Sage Icon

High-fidelity data

AI needs accurate signals. Deep runtime telemetry, real-time detections, and deterministic context fuel the right AI actions at the right time.

Cloud Attack Graph Icon

Curated agent skills

Smart agents drive better outcomes. Sysdig’s expert-curated, reusable agent skills guide AI workflows, govern action, and enforce trust boundaries.

Runtime insights Icon

Runtime insights

Agents don’t need dashboards. An AI-native interface lets you build on APIs and MCP, automate in pipelines, and run workflows through coding agents.

Sysdigの
AIワークロード
セキュリティの
しくみ

SysdigのAIワークロードセキュリティは、AIおよび生成AI(GenAI)環境におけるアクティブなリスクをリアルタイムで可視化します。

AIの導入やモデルの本番展開が進むにつれて、攻撃対象領域(アタックサーフェス)は拡大し、機密データが漏えいするリスクも高まっています。

Sysdigは、どこでAI関連パッケージが稼働しているのか、何が外部に公開されているのか、そして今すぐ対応すべきリスクは何かを明確にします。

リアルタイムでAIリスクを分析

Sysdigは以下のようなクラウドコンテキストを継続的に分析します:

  • パブリック公開状況
  • 使用中のAIパッケージに含まれる脆弱性
  • 設定ミス(ミスコンフィグレーション)
  • 不審な挙動や攻撃の兆候

これにより、AIモデルや関連データに影響を与える可能性のある問題を特定します。さらに、未承認アクセスやAI入力の改ざん試行といったシグナルをリアルタイムで検知することで、脅威が深刻化する前に対処することが可能です。

Cloud Attack Graphとの統合

AIワークロードセキュリティは、SysdigのCloud Attack Graphに完全統合されています。脆弱性、権限設定、脅威検知の情報を横断的に相関分析し、リスク同士がどのようにつながっているのか、どの攻撃経路にAIワークロードが関与しているのかを一元的に可視化します。

この統合ビューにより:

  • 調査の効率化
  • 優先順位の明確化
  • 迅速な是正対応

が可能になります。

安全にAI活用を拡大

明確な優先順位付けとランタイムの可視性により、チームは迅速かつ確信を持って問題を修正できます。

その結果、リスクを抑えながらAI活用を安心して拡大することができます。

What headless cloud security means for you

CISOs

Align your security program with how your business actually runs.

Security Engineers

Automate security to speed triage and accelerate response.


Platform Engineers

Monitor risk and enforce guardrails seamlessly within your platform.

Developers

Embed security actions directly into your development flow.

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The future of security doesn’t have a dashboard

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