I am genuinely excited about what we are bringing to the Gartner Security & Risk Management Summit (SRM) this year.
AI is moving so fast, it’s hard for anyone to keep up. But with security, none of us can afford to fall behind. Attackers are using AI to move faster, probe smarter, and exploit vulnerabilities at record speed and scale. The latest buzzwords and vendor promises without proof are not going to close this gap.
That is the problem we’ve been building for.
“As AI agents proliferate across enterprise environments, the organizations that will stay ahead are the ones who can find every model and agent running in their environment, understand what it is doing, and govern it against their own risk standards.”
Why this moment is different
CISOs are no longer asking whether they need to secure their AI. They are asking how they know their controls are actually working. That is the harder question, and one we want to encourage the AI security space to start answering for their customers.
How effective is your AI security at preventing new threats like prompt injection?
We worked with SecureIQLab, an independent third-party testing organization, to put F5 AI Guardrails to the test against real-world attacks, sending 20,000 attacks at an OpenAI model to see how well it was protected.
The results: F5 AI Guardrails is 99.3% effective against direct prompt injection. It’s 98.7% effective against excessive agency. And it’s 99.0% effective against sensitive data leakage.
To give you an idea of how effective this is, the model was only able to identify 13% of the attacks as adversarial all on its own. Those shows how important additional guardrails are for protecting enterprise use cases.
We are the first AI security vendor to publish independent, third-party validated results like these, and we hope others follow suit.
What we are presenting at Gartner
At Gartner Security & Risk Management Summit, I will be walking through how F5 helps organizations secure AI in three practical steps. Instead of theory or a whiteboard exercise, we will discuss real-world protections that work in production environments:
- Deploy foundational guardrails that mitigate risk without slowing innovation
- Tailor custom protections to your specific use cases and risk definitions
- Test continuously so your defenses evolve as fast as the threats do
We will share a customer example from a global financial institution that needed to enable enterprise AI without losing control of regulatory compliance or data privacy. This customer got there, and we will show you how.
What comes next
Beyond what we are delivering today, we will give attendees a first look at where F5 AI security is headed: discovery and governance for the AI you do not know you have. As AI agents proliferate across enterprise environments, the organizations that will stay ahead are the ones who can find every model and agent running in their environment, understand what it is doing, and govern it against their own risk standards. That capability is coming and we will be talking about it at Gartner SRM on June 1.
Come find us
If you are attending Gartner SRM, I would love to see you at our session, “F5: Securing AI in 3 Steps” on June 1 at 12pm ET. Please register here.
If you are wrestling with how to secure your AI systems as they move into production, and you would like to meet with us in person, schedule that here.
Also, be sure to visit us at Booth 729 to see the proof for yourself.
About the Author
Nirav Shah is the Senior Vice President and Head of Products and Solution Marketing at F5, where he leads the strategic direction for Application Security and AI Security. Before joining F5, he spent eleven years at Fortinet in several leadership positions, most notably heading the AI-Powered SASE, SOC, and Secure Networking solutions. His extensive background also includes significant roles at Cisco Systems, where he spearheaded major initiatives for SD-WAN. With more than two decades of experience in the cybersecurity sector, he has an established record of launching market-defining products and building high-performance teams that align product development with sales and marketing for maximum impact. As a thought leader and USC alumnus, he is a frequent speaker at industry conferences and a regular contributor to leading publications on the intersection of AI and cybersecurity, while remaining dedicated to mentoring emerging cybersecurity professionals.
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