Stay Secure in the Age of Frontier AI

What has changed with frontier AI?

Frontier AI models can accelerate attacker workflows that previously required specialized human expertise. The near-term change is not only new attack techniques, but the speed, scale, and adaptability of reconnaissance, vulnerability analysis, exploit development, and multi-stage attack planning. Many attacks will still use familiar techniques such as exploiting vulnerabilities, abusing credentials, phishing, and moving laterally after initial access — but AI can make those workflows faster and easier to scale.

Why should customers care now?

AI accelerates the attack timeline while many defenses still depend on manual patch cycles, appliance updates, and fragmented tools. As vulnerability volume rises and attacks become more adaptive, the security advantage shifts to teams that can reduce exposure quickly, correlate activity across the environment, and enforce protections before attacks progress.

What is Cato doing in response to frontier-AI-accelerated threats?

Cato has shifted focus from “time-to-patch” alone to time-to-protection: faster exposure assessment, runtime validation, inline enforcement, and AI-assisted security workflows. This is reflected in Cato’s work around Agentic Security Researchers, Dynamic Threat Prevention, and continuous protection for AI-accelerated disclosure cycles. Read more in our blog: Reducing Time-to-Protect with Cato’s Self-Evolving Vulnerability Protection Agent.

How will Cato handle the anticipated CVE surge?

Cato combines AI-assisted vulnerability triage, Cato CTRL research, runtime validation, Agentic CVE Mitigation, and cloud-delivered inline protections. The goal is to prioritize CVEs that are exploitable, reachable, prevalent, and relevant, then convert them into enforceable protections quickly and safely.

Does Cato have access to the latest frontier AI models?

Yes. Cato is a participant in OpenAI’s Trusted Access for Cyber program, giving Cato access to GPT-5.x-Cyber for defensive workflows such as CVE discovery, prioritization, triage, validation, and mitigation. Read more in our blog: Cato Joins OpenAI’s Trusted Access for Cyber (TAC) to Advance AI-Driven Defense.

What is time to protection?

Time to protection is the time between vulnerability disclosure and effective customer protection. It is different from time to patch. Patching fixes vulnerable software, while protection can also include inline controls, virtual patching, threat signatures, policy changes, and other compensating controls that reduce exposure while remediation continues.

Is patching still important?

Yes — patching remains essential. Cato Agentic CVE Mitigation and related protections help reduce exposure while patching, validation, and formal remediation continue. The goal is not to replace patching, but to reduce the exposure window while customers complete remediation safely.

Why does Cato’s architecture matter?

Frontier AI magnifies the shortcomings of appliance-based security. Fixed capacity, upgrade cycles, distributed enforcement, and fragmented policies become major constraints as CVE volume, signature demands, deeper inspection, and attack traffic increase. Cato’s cloud-native, converged architecture is the key delivery mechanism that ensures the fastest, most complete customer protection — instead of the delayed, fragmented process of updating traditional security stacks. Cato’s cloud-native platform also scales defensive resources automatically as AI-driven attack volume and inspection requirements increase.

What is Agentic CVE Mitigation, and how does it work?

Agentic CVE Mitigation is Cato’s human-supervised, AI-assisted workflow for turning newly disclosed vulnerability intelligence into validated, cloud-delivered threat protections. It helps Cato security researchers monitor new disclosures, analyze exploit behavior, develop candidate protections, test them for quality and false-positive risk, review them, and deploy approved protections through the Cato Cloud Platform.

What does the 45-minute time-to-protect proof point mean?

Cato announced that Agentic CVE Mitigation reduced time to protect for newly disclosed vulnerabilities to as little as 45 minutes in tested workflows. This is a proof point for how quickly Cato can generate and validate protection in this model. It should not be read as a blanket SLA for every vulnerability or every environment.

Does Agentic CVE Mitigation require customer action?

No. Agentic CVE Mitigation is an active part of Cato’s backend operations, so customers automatically benefit without additional licensing or enabling features. Cato delivers these validated protections through the Cato Cloud Platform with no software updates or configuration required. Customers should still follow their normal patching, asset management, and remediation processes for affected systems.

Does Cato only protect against known CVEs?

No. Agentic CVE Mitigation focuses on newly disclosed vulnerabilities and associated exploit behavior, but it is part of a broader prevention strategy that also includes threat intelligence, inline security controls, Dynamic Prevention, AI/ML-driven detection, and investigation workflows for emerging and multi-stage threats.

How does Agentic CVE Mitigation differ from agentic prevention capabilities?

Agentic CVE Mitigation addresses one urgent problem: reducing exposure quickly after newly disclosed vulnerabilities appear. Agentic prevention capabilities address a broader challenge: adaptive, multi-stage attacks that may change tactics as they move through an environment. Cato is expanding prevention capabilities that leverage shared platform context and AI-assisted workflows to help predict and identify attack progressions and apply protections earlier.

What role does Dynamic Prevention play?

Dynamic Prevention helps detect and stop evasive, low-and-slow, and multi-stage attacks by correlating activity across users, devices, applications, network traffic, and security signals. It moves beyond static indicators by using context to identify suspicious progressions that are hard to see when each event is viewed in isolation. Agentic prevention works closely with Dynamic Prevention in customizing, predicting, and stopping frontier AI attacks in real time.

What if a malicious AI agent behaves like a legitimate user?

Activity that uses valid credentials, approved tools, or a compromised endpoint can be difficult for static controls to distinguish from normal behavior. Cato helps address this by correlating identity, device, application, traffic, and shared context so suspicious progressions can be detected earlier and adaptive restrictions can be applied when risk conditions converge.

How is this different from Cato AI Security?

Cato AI Security helps organizations secure the AI they use, protect the AI they build, and control AI agents. Agentic CVE Mitigation and agentic prevention capabilities are part of the agentic SSE architecture and use AI workflows to make security operations and threat prevention faster and more adaptive. They are complementary: one helps govern enterprise AI adoption, while the other helps defend against faster, AI-assisted threats.

What should customers do now?

Continue patching critical vulnerabilities, reduce public exposure, review high-risk assets, enforce least privilege, apply segmentation, and inspect encrypted traffic where appropriate — and make sure security controls can correlate activity across users, devices, applications, data, and network traffic. Customers using Cato should also review their threat prevention, SSE, AI Security, and incident detection capabilities with their Cato team.

How is customer context handled?

Cato uses platform context within the scope of licensed services, customer policy, and applicable agreements to enforce security controls, detect threats, and improve protection. Customer-specific security reviews, privacy questions, and compliance evidence should be handled through the standard Cato account, security, or compliance process.

Can Cato brief our security, risk, or executive team?

Yes. Cato can brief customers on frontier AI threat trends, Agentic CVE Mitigation, Cato’s prevention strategy, and practical steps to reduce exposure. Customer-specific architecture, compliance, or roadmap questions should be handled through the account team.

Related Cato Resources

• Agentic CVE Mitigation announcement
• Blog: Reducing Time-to-Protect with Cato’s Vulnerability Protection Agent
• Blog: Continuous Protection in the Frontier AI Era
• Cato AI Security
• Cato Zero Trust Security (SSE)