How Agentic AI Simplifies Cybersecurity and Modern Threat Management

Grant Wernick: Thank you! At Fletch, our mission has always been to simplify cybersecurity by turning overwhelming amounts of data into actionable insights that security teams can prioritize and act on. By leveraging AI and years of natural language processing  know-how, we help organizations translate complex data into clear, human-readable tasks, enabling faster and smarter decision-making.

I’ve spent much of my career at the intersection of AI, machine learning, and cybersecurity, founding startups that focus on transforming how we interact with data. At Fletch, we took these principles deeper into the cybersecurity domain, creating one of the world’s first cyberthreat AI platforms that empowers teams to cut through the noise, focus resources efficiently, and act proactively in the face of evolving threats. Joining F5 is an exciting opportunity to scale these innovations and help secure today’s increasingly complex, connected environments.

Kunal Anand: Great question. At F5, we focus on enabling our customers to securely deliver extraordinary digital experiences for their users. With applications driving so much of our connected world, we need to ensure they’re performant and secure. The cybersecurity landscape is more complex than ever, with hybrid multicloud environments, distributed systems, and a rising number of sophisticated attacks.

Security teams are drowning in data, alerts, and logs. They need actionable context to reduce complexity and respond efficiently. By adding Fletch’s agentic AI capabilities to our platform, we can provide even deeper insights, real-time threat intelligence, and proactive security recommendations that empower teams to stay ahead of threats.

Grant Wernick: Absolutely. At its core, agentic AI represents AI that doesn’t just process data—it takes proactive action.

For example, let’s say a security team receives thousands of alerts daily. Agentic AI can analyze this noise, correlate it with external and internal data sources, and prioritize the most critical threats, often before an Indicator of Compromise is found. It can also provide real-time context and assign tasks to other agents, such as, “This IP address is associated with a known ransomware group so block it” or, “This anomalous activity is likely benign based on similar past behavior, so close this ticket.”

By embedding these capabilities into the F5 ADSP, we’re enabling security professionals to focus on what matters most—protecting their organization—while reducing time spent sifting through noise.

Kunal Anand: There are several transformative benefits, but I’ll focus on three key areas:

• Enhanced security analytics: Customers will gain deeper visibility into their environments with smarter correlations between logs, threat intelligence, and real-time alerts, resulting in more accurate assessments of potential risks.
• Reduced alert fatigue: Instead of being overwhelmed by thousands of daily alerts, security teams will see prioritized incidents, helping them focus their efforts on the most critical threats.
• Proactive recommendations: With the help of agentic AI, the platform won’t just tell you there’s a problem—it will recommend steps to remediate it. This could range from blocking malicious IPs to adjusting application security policies to preemptively mitigating specific vulnerabilities.