Agentic Signature Attack Packs: Red Team AI for the Next Generation of Security

F5 Newsroom Staff

Every new capability that GenAI introduces comes with new vulnerabilities. As a result, companies must red-team AI systems regularly to proactively uncover weaknesses and secure AI applications before attackers exploit them.

That’s where our signature attack packs come in. These are monthly collections of curated ‘test attacks’ designed to uncover vulnerabilities in AI systems. Each pack contains high-impact adversarial prompts that let security teams safely see how their models respond to realistic threats—without having to develop every attack in-house. Think of them as ready-made red team exercises for AI, built to expose weaknesses before attackers find them.

With our new agentic process, the creation of these packs is now fully automated. An AI agent:

• Researches emerging attack techniques and potential vulnerabilities
• Generates and tests adversarial prompts against real models
• Packages only the most effective attacks for enterprise use

This turns red teaming into a continuous, autonomous process that delivers fresh, real-world attacks to customers every month without adding overhead to their security teams.

Why It Matters

Modern AI threats are autonomous, adaptive, and high-impact. Deploying an untested AI model, application or agent can lead to prompt injection and jailbreak attacks, exposure of sensitive data or intellectual property, or compliance failures under regulations like the EU AI Act.

AI Red Team’s agent-powered signature attack packs directly address these risks by providing:

• Continuous threat coverage: Monthly curated attacks keep your testing current with minimal effort.
• Faster risk discovery: The AI Red Team agent evaluates more attack vectors in less time than human teams could.
• Increased precision: Packs improve every month as the agent is fine-tuned for better detection.
• Proven results: These same attacks power the Comprehensive Security Index (CASI) Leaderboard, which regularly exposes vulnerabilities in the world’s top models.
• Proof of AI defending AI:This agent is powering real-world red-teaming today.

How Agentic Attack Packs are Used to Red Team AI

Agentic signature attack packs are designed to solve real problems that security and AI teams face daily. Here’s how organizations are using them in practice:

Validate Models Before Deployment

Launching a new AI model without testing is like deploying an app without a security review. Signature attack packs allow teams to red-team AI systems in a safe, controlled way before they ever interact with live users or sensitive data. For example, a global bank can simulate prompt injections that might trick a model into revealing financial data, ensuring vulnerabilities are found before production, not after a breach.

Continuously Test Deployed AI

Threats to AI don’t stop after launch, they evolve. With monthly updates, signature attack packs provide continuous red-teaming for AI systems, ensuring security posture isn’t frozen in time. Enterprises with customer-facing chatbots or RAG applications can automatically run fresh attacks each month, catching new exploits before attackers do.

Meet Compliance and Governance Standards

Regulations like the EU AI Act demand proactive measures to prevent prohibited behaviors and data exposure. By using signature attack packs, organizations can generate clear, audit-ready evidence that they’ve actively tested their AI systems against high-risk scenarios. A healthcare provider, for example, can demonstrate that its AI tools are not vulnerable to leaking patient data, which in turn, protects both regulatory standing and brand trust.

Support Executive Risk Reporting

CISOs and security leaders need to translate complex AI risks into actionable insights for the business. Each month’s testing generates data that can be summarized through CASI scores and vulnerability reports, giving leadership clear visibility into evolving AI risks. This narrative shifts AI security from a reactive function to a strategic business enabler, allowing executives to make confident decisions about scaling AI adoption.

Red Team AI: Turning Defense Into a Competitive Advantage

By introducing agentic signature attack packs, we are redefining red-teaming for AI. These packs combine curated, high-impact attacks with the speed and autonomy of AI, creating a self-updating AI red team in a box.

Enterprises gain continuous visibility into model weaknesses, actionable insights for remediation, and the confidence to deploy generative AI securely and at scale. See how autonomous testing with F5 AI Red Team can secure your AI applications, models, and agents.

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F5 Newsroom Staff

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