Product video

Firewall-as-a-Service Demo

Transcript

Hello. In this short demo, we’re going to discuss the capabilities of Cato’s firewall as a service. Now it’s worth noting that Cato’s Firewall is a native part of our SASE platform. And because of this, we can connect users, locations, data centers, cloud data centers, whatever they are.

We can connect them in with unlimited capacity. So no more sizing and deploying of physical firewalls in order to meet the need. We just have to connect into the Cato service, and they’re able to be secured using a comprehensive set of firewall policies. Now if we go over to security, we could take a look at what these policies look like.

You know, they’re very familiar to you. They’re applied top down approach first match wins, just like the firewalls that we’ve all used over the years.

First thing is there’s some, you know, general fields that are required. Right? We have to name our rule. We have to tell it what order to be in. In this case, he will call this test.

And then we move on. We can see source, right? So in order to really create that granular zero trust policy that you need for your organization, you can go here and we have a variety of context options here. Right? You know, not just user group, site type permissions, but also based on IP addresses, network interface, host, all of these kinds of things can be used to make the policies that make sense for you. In this case, let’s go ahead and we’ll select the whole site. And in this case, we’re going to call it the Houston branch location.

So device, we’re doing continuous device posture evaluation. And here is where you would apply that to be used in rules to evaluate things like, you know, antivirus status, disc encryption, and things like that.

App and category. Right? The service is completely application aware. So in this case, we could specify, you know, specific application.

Maybe we want to put Facebook or, maybe we want to just specify the entire social category. So I’ll go ahead and put social here and service slash port. Right? Because we are using a firewall architecture and we can inspect and enforce policies for all ports and protocols, you can build these right here into any policy that you like to get as granular as you need.

And this could be a port protocol like TCP eighty or it can be, you know, a service specifically. Right? Maybe you want to specify, only allowing RDP from certain locations or, IP addresses. You can easily do that with one of these rules.

But for now, we’ll go ahead and leave this as, any. And under actions, right, you have some things here you can allow, block, or prompt. But in this case, we’ll leave block and we’ll tell it to log in event when it happens. We could also set our rules to be defined during specific working hours.

Maybe we do want to allow Facebook after hours. But for now, we’ll just leave this to no time constraint.

I’ll go ahead and click apply, and we’ll see our rule appears at the bottom of the list like we planned. Now, I know for a lot of enterprises, they end up with, you know, hundreds of different policy rules and it becomes difficult to manage. And this was really designed to ease management at scale, not just in that, you know, most of our customers see an overall reduction of their total number of policies, but also in some nice, you know, features to help logically organize things. So maybe we want to go ahead and create a new section. Right? That’s, the first step in really having a good organization, and we’ll call this one custom rules.

And we have it apply after our default category of our default rules and you can see our custom rules, set is down here. So if we’ll go ahead and we’ll take our test rule, we could actually drag it into this group. And now we see, you know, our default and our custom are easily grouped together, just to make management easy.

Other thing is too is maybe we made a mistake and we didn’t really want to block social for the entire Houston branch. We have some, you know, individuals who work out of there and we want to exclude someone. Making exceptions is also easy to handle here. You don’t have to create a whole new policy. You can just go in this, and we can add an exception to this rule. So for this exception, we’ll just leave it new exception one. Source will make it an SDP user, and let’s say we pick Andy Bernard.

Device, we can leave that, we don’t have to worry about any of that. And then the rest of the other context we can leave as well. So we’re gonna go ahead and say, Apply.

And we’ve now created an exception for Andy Bernard to the test rule so that now he’ll be able to access social media.

Now the other side to this is Logging and Monitoring. Right? We need to have visibility into user activity in order to refine our security policies, as well as for things like audit and other purposes on an ongoing basis. Now all events that happen are logged to Cato’s data lake, and we can review those easily from the Cato management application.

Now, let’s expand our default outbound Internet rules, and we can see we have a default block for categories.

We can easily go here, and we can click view rule events, and we’ll see all events for the specific, category rule. Now if we expand one, we can see all of the context that we need. Right? We can see the user was demo user, at cato.marketing.

And it looks like they were trying to download Kali Linux, which is a known hacking tool. And because we’re blocking that category, it was blocked, but we also see a lot of other valuable information. Right? What OS the user is on, the name of their ISP, as well as their IP addresses and what site they were connected through.

So all this information is available and more, and thank you so much for watching this demo.

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Product video

Protect Local Networks with Cato’s Application-Aware LAN Firewall

Transcript

Hello and welcome to another video from Cato Networks. Every LAN requires full time protection.

Managing LAN security across multiple locations comes with two big challenges.

First, keeping up with hardware is a nightmare. Deploying, upgrading, and troubleshooting firewalls in multiple locations is costly and time consuming. And secondly, maintaining a centralized policy is complex. Keeping rules clean and consistent across multiple sites can be a constant struggle.

But what if you had LAN security that is simple, scalable, and hassle free? One that is an extension of your cloud access security. Cato Networks LAN next gen firewall, a native function of the Cato SASE cloud platform solves for this and more. The Cato Networks LAN next gen firewall is designed for simplicity.

Configuration is done on a site by site basis but it’s managed at the account levels. From the same single dashboard that manages internet and WAN firewalls, enabling LAN firewalls is just as simple. First, enable the feature.

Next, switch to the site firewall tab and enable LAN firewall for the site. No extra hardware, no complex setup. Next, let’s add the site we are deploying the LAN firewall rules to. For our case, it’ll be our AWS site. Then we will add the main container of the firewall rules. That will also establish the blacklist for the entire LAN network. Let’s switch to an FTP application and see it being blocked by the LAN firewall by default.

And you can see here that it times up pretty quickly because it is being blocked by the LAN firewall by default.

Back to the CMA.

And let’s add a single firewall rule that will allow the application to access the network for FTP transfer. We can switch back to the application now, and now we were able to connect and transfer files normally.

The Cato LAN Next Gen Firewall lets you secure your LAN easily from the same unified dashboard.

Next, let’s see how easy it is to leverage policies across multiple sites. This eliminates the need to manually configure each site or replicate settings across multiple boxes.

With Cato, simply add the site to the policy set, ensuring consistent security with just a few clicks. Here we have an additional site that needs to be added to the LAN firewall policy that we have here.

First, add the new site as a LAN firewall site, and then all we need to do is edit the policy in question to also include the new site. Save the changes, give that a moment or two to be pushed to the socket and done.

Cato extends the SASE footprint to now include the LAN, making it easier than ever to manage your global network from a single console with a single product. Be sure to check out our website for more information. Thanks for watching. We’ll see you next time.

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15โ€“30 minute session with a SASE product expert

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Product video

Defending at Machine Speed: Predict, Adapt, Stop Agentic Attacks

Transcript

AI powered attacks don’t follow a script.

They continuously adapt, testing new techniques, pivoting around defenses, and exploiting the unique weaknesses of every environment. Multiple benign alerts can indicate a broader, more complex attack. Traditional defenses, though, were never designed to keep pace with attackers that learn and evolve at machine speed. But what if your security platform could defend using a defending agent that’s customized to your environment, continuously predicting multistage attack chains, and creating customized protections before attackers strike? That is the power of Cato Agentic Threat Prevention. Cato Agentic Threat Prevention begins with knowing what’s on each customer’s network. Cato shared context notes hundreds of fields from all network assets and traffic.

All of this information is used not only to make more informed security decisions, but security predictions. Attackers used to move at human speed, but now attacks are agent enabled, which means they’re adaptive and automated, so defenses must be as well. The Agentic Threat Prevention screen shows AI findings and reasonings in real time and points to the resulting behaviors, controls, and events. Here, Agentic Threat Prevention has noticed a host for the first time attempting to download PS tools, which are used in remote process execution.

Agentic Threat Prevention predicts the use of these tools as lateral movement and automatically restricts both the lateral movement and the execution of the tools. But agentic attackers are adaptive, and this attacker quickly pivots to install OpenClaw on the host. With the context of the environment in mind and having seen previous suspicious tool downloads earlier, Agentic Threat Prevention predicts additional tool usage by this attacker and instantly blocks the ability to download further OpenClaw installations, GitHub skill installations, and access to other malicious tools via NPM.

Traditional defenses would normally take hours or days to correlate, identify, and react to this attack.

By then, this attack would have been completely successful. But in the timeline of events, we see that Agentic Threat Prevention was able to analyze, predict, and block this agentic attacker autonomously within one second to prevent the attack from completing.

That is the kind of machine speed defense required to defeat agentic attacks. The new protections are enforced throughout the entire organization because the Cato global platform works from a single policy. Users don’t have to worry about ensuring protection reaching the right places because it’s applied globally. Frontier AI gives attackers new levels of speed, adaptation, and scale. To defeat an agentic opponent, organizations need agentic defenses. Cato agentic threat prevention helps stop AI driven attacks by using customer specific context to predict attacker behavior, adapt protections automatically, and enforce prevention globally automatically platform. The result is prevention at machine speed built for the pace of modern attacks.

To learn more about how Agentic Threat Prevention could help secure your network, visit us at catonetworks.com.

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Secure every interaction across the enterprise, cloud, and AI with the only purpose-built SASE platform.

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15โ€“30 minute session with a SASE product expert

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Live product demonstration where applicable

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Product video

Secure Enterprise AI Apps and Agents

Transcript

What happens when a user finds a way to extract data from your internal application?

What if a prompt manipulation causes your customer facing chatbot to respond in ways you never intended?

When something does go wrong, does your security team have any record of what happened?

For most organizations deploying AI applications today, those aren’t hypothetical questions, they are gaps. Cato AI Security closes them.

This is guard logging in Cato AI Security. Security teams can see every interaction with the AI application, who used it, what was sent, and whether policy was violated. Every session tracked with invocation count, detection count, and timestamps.

This is also your audit trail. If a compliance or legal question ever comes up about your AI application and what it was doing on a specific date, this is where you go.

Opening a session, here is what enforcement looks like at the individual call level. The user’s prompt contains sensitive data anonymized before it reached the model. The model’s response contains sensitive data anonymized before it reached the user.

Pulling back to the guard overview, you can see the full picture across all activity. The hit rate shows the split between violating and safe prompts and the detection breakdown shows which policy rules are doing the work.

The usage over time graph shows exactly when activity spiked and where enforcement kicked in. This is what runtime protection looks like across a deployed AI application.

The detection logic behind all of that comes from engine profiles. Configurable sets of detectors scoped to your application specific risk surface. Address, name, phone number, more. You define what sensitive means for your context and that profile applies consistently across every interaction the application handles.

AI applications are moving into production faster than security controls have been able to keep up. Cato AI Security changes that. Runtime visibility into every interaction, policy enforcement on what goes in and what comes back out, and a complete audit trail from day one.

To learn more or request a demo, visit catonetworks.com.

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15โ€“30 minute session with a SASE product expert

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Product video

Control How Your Enterprise Uses AI

Transcript

How many AI tools are your employees using right now?

Do you know which ones are sending data outside of your network? And if someone pasted customer records into ChatGPT this morning, would you know about it? For most security teams, the honest answer to all three of these is no.

Cato AI security gives you the visibility and control to change that. Let me show you what that looks like.

This is shadow AI in Cato AI security.

Every AI application active in the environment automatically discovered and risk rated.

Perplexity, Microsoft Copilot, Cloud, all high risk, all already being intercepted via AI Proxy. That means Cato isn’t just seeing the connection, it’s inspecting what’s inside the prompt and the response.

ChatGPT for business is low risk because it’s sanctioned. This is a living inventory that updates continuously, not a one time scan.

Now let’s look at what these tools are actually being used for. In session explorer, every session is logged with application, topic, user’s intent and any violations that were triggered.

There are some sessions on claud and perplexity that are flagged, blocked PII on major AI apps, Personal data in the prompt caught in transit.

The grok session right above it is clean, same environment, different behavior, both visible. This is the audit trail that compliance teams have been asking for. For most organizations, it’s the first time security has ever had this level of detail on AI usage. And here’s why governance actually happens.

One rule block PII on major AI apps run through the network proxy across any source covering every application in the environment.

The action drop down is worth a look. You’ve got block, monitor, anonymize, unblock, and anonymize and monitor. That last option is the one that changes the conversation. The session continues, the sensitive data gets masked before it reaches the model, and security gets the full log. You’re not telling employees they can’t use AI, you’re making sure the data stays where it’s supposed to.

Governing AI usage isn’t about blocking tools, it’s about having the visibility to understand what’s happening, the context to make informed policy decisions, and the controls to enforce them consistently across every user and every application.

That’s what Cato AI Security delivers. To learn more or request a demo, visit catonetworks.com.

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Product video

Shadow AI Is Everywhere. Cato Puts You Back in Control.

Transcript

Hello and welcome to another video from Cato Networks. Generative AI boosts productivity, But how much sensitive data is being shared? Could the use of Gen AI lead to data leaks or compliance issues? And what if AI chatbots generate flawed outputs that mislead business decisions?

Lack of visibility into Gen AI usage creates serious risks. That’s why Cato introduced GenAI Security Controls as a native extension of Cato CASB. It gives organizations full control over GenAI activity with no extra deployments or consoles or licenses. Let’s dive in.

The Cato Gen AI dashboard gives IT and security teams instant visibility into Gen AI application usage across the organization. It spotlights which apps are sanctioned or unsanctioned, risky apps, alongside with data violations, and the amount of users leveraging AI apps.

With built in categorization by use case, from conversational to code generation, it helps teams quickly understand how GenAI is being used. The usage breakdown gives IT teams a real time pulse on how Gen AI tools are used. You can track blocked, monitored, or allowed actions, see which apps are most active, who’s using them, and the type of activity performed.

From top apps like ChatGPT and Copilot to individual user behaviors, Cato makes ShadowAI visible and manageable. Cato delivers explicit usage visibility by identifying the type of sensitive data being shared, where it’s going, and who is sharing it.

Whether it’s source code, financial records, API keys, or personal data, violations can be traced back to specific users. The dashboard reveals policy and helps I teams understand exactly which data was uploaded to which application and whether the action was allowed or blocked, enabling swift mitigation and reinforcing the organization’s overall security posture.

The Cato’s application control engine has been enriched with fine grained Gen AI enforcement options.

Security teams can create category based rules to block risky tools like code assistance, restrict specific actions such as file uploads, or enforce tenant level access for corporate environments only.

Policy based controls embedded into the dashboard make enforcement precise, scalable, and aligned with business risk. Gen AI adoption doesn’t have to come with risks.

With Cato’s Gen AI security controls, enterprises can embrace Gen AI to boost productivity without sacrificing security. Be sure to check out our website for more information. Thanks for watching.

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