Blog posts by Jessica Brennan
Senior Product Marketing Manager | F5
Blog posts written by Jessica Brennan(26)
AI latency: Why security can’t be a trade-off
AI latency isn’t just about speed. It’s about designing systems that balance performance, security, and reliability.
By Jessica Brennan
You can’t firewall a conversation: How AI red-teaming became mission-critical
With AI deployments moving at machine speed, traditional methods of testing software are no longer fit for purpose.
By Jessica Brennan, Allan Healy
Securing enterprise AI in financial services
Learn why financial institutions adopting AI must also implement guardrails that can be customized and refined over time.
By Jessica Brennan
F5 AI Remediate: Closing the AI security gap
F5’s new offering, F5 AI Remediate, shortens the path from AI vulnerability discovery to deployable protection.
By Jessica Brennan
AI observability: Auditing and tracing AI decisions
Discover how AI observability ensures accountability for AI decisions with advanced runtime visibility, auditing, & traceability across AI workflows & systems.
By Jessica Brennan
AI compliance and regulation: Using F5 AI Guardrails to meet legal and industry standards
See how F5 AI Guardrails and F5 AI Red Team simplify compliance, reduce legal exposure, and enable organizations to demonstrate responsible AI governance.
By Jessica Brennan
Classifier-based vs. LLM-driven guardrails: What actually works at AI runtime
Not all AI guardrails work the same way. Learn why it’s important to know the distinction between classifier-based and LLM-driven guardrails.
By Jessica Brennan
AI security through the analyst lens: insights from Gartner®, Forrester, and KuppingerCole
Enterprises are discovering that securing AI requires purpose-built solutions.
By Jessica Brennan
F5 recognized as one of the Emerging Visionaries in the Emerging Market Quadrant of the 2025 Gartner® Innovation Guide for Generative AI Engineering
We’re excited to share that F5 has been recognized in 2025 Gartner Emerging Market Quadrant(eMQ) for Generative AI Engineering.
By Jessica Brennan
Closing the Loop: Why AI Security Remediation Matters
AI security remediation is one of the most important disciplines in enterprise cybersecurity. As organizations adopt GenAI at scale, they face a flood of new vulnerabilities. But without effective rem...
By Jessica BrennanSmarter Guardrails, Stronger Security with the New AI Assistant
F5's new AI Assistant is built directly into AI Guardrail's custom scanners feature. This feature allow enterprises to go beyond out-of-the-box protections by leveraging GenAI to create policies that ...
By Jessica BrennanModel Guardrails Aren’t Enough: Why Runtime Guardrails Are Essential for AI Security
Model guardrails alone can’t keep AI systems safe. This is something our research team sees every month when testing frontier models (results published on our AI Security Leaderboards). While model gu...
By Jessica BrennanHow Forrester’s AEGIS Framework Validates an Inference-First Approach
The rise of agentic AI is transforming the enterprise security landscape. These self-directed AI agents operate autonomously, make real-time decisions, and can interact across systems in ways traditio...
By Jessica BrennanCustom Scanner Versioning: Evolving AI Defensive Controls for Optimal Agility
Enterprises deploying AI applications and agents need agility to keep security aligned with evolving use cases, policies, and regulations. With F5 AI Guardrails, organizations already gain powerful de...
By Jessica BrennanAgentic Signature Attack Packs: Red Team AI for the Next Generation of Security
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...
By Jessica BrennanVisualize the Attack: Gen AI Pentesting Gets an Upgrade with Agentic Fingerprints
You can’t defend what you can’t see. That’s the problem with Gen AI pentesting today. It tells you whether an attack worked, but not how it unfolded or why your defenses failed. For security leaders t...
By Jessica BrennanOutcome Analysis and How It Improves AI Threat Detection
CalypsoAI’s Inference Defend AI security solution has a new feature, Outcome Analysis, that is purpose-built to enhance visibility and control in AI threat detection workflows. As part of Defend’s rea...
By Jessica BrennanWhat the Forrester Budget Planning Guides Reveal About the Future of GenAI Security in 2026
As enterprises look ahead to 2026, two new Forrester Budget Planning Guides: Budget Planning Guide 2026: Security And Risk and 2026 Budget Planning: Prepare For Even More Volatility, offer valuable in...
By Jessica BrennanLLM evaluation: Building trust with security scoring
As enterprise AI adoption accelerates, LLM evaluation is no longer just about performance, it’s about trust. Security teams must validate not only how well a model performs, but how safely it behaves....
By Jessica BrennanPrompt Injection Attacks: What You Need to Know
Prompt injection isn’t a new threat, but it’s not going away. In fact, it’s getting smarter, more subtle, and more damaging. Despite being identified early in the rise of GenAI, prompt injection attac...
By Jessica BrennanEnterprise AI Security: Key Insights from Forrester’s Recent Report
Why AI Security Posture Management Is Now a Top Priority According to Forrester’s recent research Key Trends In AI Detection Surface, organizations must urgently rethink how they manage and secure AI ...
By Jessica BrennanWhat Your AI Red Team Is Missing And How to Fix It
Red-teaming has long been a cornerstone of enterprise security but when it comes to generative AI, most organizations are applying outdated tactics to a new kind of threat landscape. Static prompt tes...
By Jessica BrennanHow to Build a GenAI Policy That Actually Protects Your Business
GenAI usage is exploding across teams and tools, but most enterprises are still missing the controls to secure it. Security isn’t failing because there is a lack of policies. It’s failing because orga...
By Jessica BrennanSelf-Hosting vs. Models-as-a-Service: The Runtime Security Tradeoff
As GenAI systems continue to move from experimental pilots to enterprise-wide deployments, one architectural choice carries significant weight: how will your organization deploy runtime-based capabili...
By Jessica BrennanSecure, Scale, Succeed: Why Runtime is the Priority
AI is no longer experimental. It’s in production—powering chatbots, informing decisions, and reshaping how enterprises operate. But there’s a blind spot hiding in plain sight: runtime. While training ...
By Jessica BrennanRed Teaming for AI: The Standard for Proactive Security
In an era when GenAI is becoming a critical tool to maintain competitive advantage—enhancing business processes as well as customer experiences—ensuring its safety is paramount. While AI drives innova...
By Jessica Brennan