F5 AI Red Team
Define the attack surface and command a swarm of agents designed to hunt and attack vulnerabilities in AI models, applications, and agents. Simulate adversarial attacks such as prompt injection and jailbreaks at unprecedented speed and scale, providing insight into threats both obvious and obscure.
Agentic intelligence for threats obvious and obscure
Threats to AI apps, models, and agents are growing exponentially. The most proactive red teaming will always benefit from a human defender, but the pace of AI development elevates the need for increased firepower. F5 AI Red Team empowers teams with a vast and continuously updated prompt database to test for vulnerabilities and streamline insights into implementation.
Outpace adversaries with F5 AI Red Team
Discover AI vulnerabilities
Identify and fix AI exploits before attackers find them
- Agent fingerprints: Trace complex attack patterns and pinpoint the exact execution paths used to manipulate deployed AI models.
- Continuous assessment: Rapidly evaluate effectiveness of existing controls and prioritize new controls by severity
Validate resilience and performance
Identify AI performance limits under real-world pressure
- Automate at scale: Replace manual testing with autonomous attacker agents across sophisticated, static, prompt based, and multi-turn attacks
- Reduce failover states: Prevent downtime and keep models stable, secure, and scalable.
- Expose the unknown: Uncover obscure, hidden vulnerabilities in dynamic AI agents' workflows before they reach production
Remediate insights into threat-informed defense
Automate remediation of vulnerabilities into active guardrails
- Close the security loop: Instantly translate discovered vulnerabilities into AI guardrails
- Automate remediation: Push discovered threat reports to native AI guardrails to prevent zero-day exploits in minutes, not weeks
Expansive attack database
Test resilience against an expansive attack database and custom risk categories
- Leverage AI threat intel: Continuously test against thousands of real-world attack techniques, with over 10,000 attack patterns added every month
- Tailor by use case: Customize attack campaigns for specific intents through natural language prompts
- Enable AI compliance: Align defenses to compliance needs with purpose-built testing
Core capabilities
Agentic fingerprints
Attack-path insight into how and why agentic attacks succeed
Automated adversarial testing
Discover emergent risks with a swarm of agents trained on advanced techniques
Expansive attack database
Leverage the preeminent AI threat library of over 10,000 monthly attacks
AI remediate
Integrate with F5 AI Guardrails to automate insights into remediation
Trace and explain every successful attack path with F5 AI Red Team's agentic fingerprints
Deploy F5 AI Red Team with complete privacy and flexibility
Public cloud
Deploy F5 AI Red Team directly alongside AI workloads in AWS, Azure, or Google Cloud environments
On-prem
F5 AI Red Team is a certified Red Hat OpenShift operator capable of deploying in on-prem environments
Resources
Demos and videos
Blogs
Webinars
Insights and reports
Technology alliances
Stronger AI security with the partners you trust
F5 integrates with leading security and AI vendors to extend protection across the full lifecycle. Joint solutions secure data, models, and the APIs between them, keeping your AI fast, governed, and under your control.
Frequently asked questions
Manual AI red teaming uses human experts to creatively probe AI systems for vulnerabilities, while automated red teaming uses tools and scripts to systematically test at scale. The best approach combines both; automation for comprehensive coverage and human expertise for nuanced, creative attack scenarios.
Without adversarial testing, organizations risk prompt injection attacks, data leakage, jailbreaks, and unauthorized outputs that can expose sensitive data, damage brand reputation, and compromise intellectual property.
AI red teaming specifically targets AI/ML models and their unique vulnerabilities—like prompt injection and AI-specific jailbreaks, whereas traditional penetration testing focuses on network, application, and infrastructure security flaws.
Red Team cadences depend on unique risk definitions, as well as industry-specific and compliance needs. At a minimum, the pace of AI threat landscape shifts makes monthly red teaming a baseline standard, however many teams conduct red team reports as a daily component of CI/CD pipelines.
At this time, F5 AI Red Team utilizes agents to execute attack campaigns, but the subject of those campaigns is a deployed model or application rather than an agent specifically. AI agents at their core are simply models capable of executing chained tasks through tool calls, so many of the vulnerabilities discovered for the model will also apply by extension to agentic workflows.