

Cisco Secure Firewall and Private AI compete in the cybersecurity domain. Cisco Secure Firewall leads in network protection and integration capabilities, whereas Private AI stands out with data privacy and AI-driven solutions.
Features: Cisco Secure Firewall provides comprehensive network security, threat intelligence, and advanced traffic analysis. Private AI offers machine learning-based privacy solutions, protection of sensitive data, and privacy-preserving technologies.
Ease of Deployment and Customer Service: Cisco Secure Firewall offers flexible deployment options and reliable technical support, ensuring smooth integration with existing infrastructures. Private AI features an easy-to-implement deployment model focusing on machine learning, with customer service tailored to specific data privacy needs. Cisco's long-standing reputation in service reliability contrasts with Private AI's data-centric approach.
Pricing and ROI: Cisco Secure Firewall has higher upfront costs due to extensive security offerings but often provides strong ROI with robust threat protection. Private AI offers competitive pricing focused on privacy solutions, achieving significant ROI through cost-effective data protection. Cisco Secure Firewall requires a greater initial investment, while Private AI provides value in cost-efficiency and privacy impact.
There is always a return on investment because you find you invest heavily, but your environment is secure and then you are at rest; you do not need to panic.
The biggest return on investment when using Cisco Secure Firewall is that there's no waste in any infrastructure cost and licensing costs for us.
From my point of view, the biggest return on investment when using Cisco Secure Firewall is the single pane of glass, which is a huge plus for us.
If I buy my own hardware for my organization and I don't need to spend hundreds of thousands of dollars to do that, I'm going to be able to get my ROI back pretty quickly.
We achieve tasks that we are supposed to do in a week within a day.
Time saving is implemented by using AI.
I have to provide many logs, yet problems remain unresolved, often requiring workarounds rather than solutions.
I have been working with them on firewalls, wireless, switching, and routing, and the support is the best.
They have expertise and provide solutions for the most difficult problems.
We have a contract with the client in order to manage scalability, durability, and continuity of service.
Because Private AI is deployed by our company, the support is also very good.
The customer support is great.
When something happens in the device, the failover happens very quickly without any interruption.
Cisco Secure Cloud now allows us to potentially take the management functions of Cisco Secure Firewall, move it into the cloud, and integrate it with other Cisco security products, managing everything from one single pane.
I rate the scalability as a number 10.
If I brought in an LLM and it starts phoning home to an IP address that's not within my organization, I would certainly hope my IT team would be monitoring that.
There are very good frameworks available for scaling it up, such as DLRM.
If you have a good partner that can provide the hardware and move fast on this, it should be a good point to start.
We have often encountered split-brain scenarios during failover processes and code upgrades, which have been persistent problems for us.
We work with a cluster with high availability, so if something goes wrong, we have it functioning.
I have Cisco Secure Firewall in hospitals, hotels, airports, and shopping malls, and I have never faced complaints of a Cisco Secure Firewall crash or anything similar.
It is not as stable as a cloud architecture.
Private AI is more stable than even the foundation models because I'm in charge.
My ongoing complaint for the last six years has been the lack of CLI functionality, which hinders my ability to work on the firewall, alongside concerns regarding deployment time.
The GUI is useless for me and frustrates me to a very high degree, which led me to switch to the CLI for configuration.
Firewall as a Service can scale to a very large extent because it is a cloud-based offering that can scale up to a very large number, which is not a problem.
The performance of models is affected by quantization type, MTU, token predictions, KV cache type, and cache size.
Deploying a large language model of 70 billion parameters is not an easy task on an on-premise architecture because you have to provide many GPUs.
On the edge, I'm very limited on how much GPU memory I have compared to OpenAI that's got racks and racks of million-dollar servers with terabytes of space.
It's good to have them, however, it costs us a lot.
Basically, the license for the VPNs is for all the interfaces, and that is the thing that is really expensive compared with Palo Alto.
It's considered a premium, but people pay that price for Cisco.
Currently, I believe the cost is quite high.
We have software licenses for our software components.
What stands out positively about Cisco is their training and support, which has effectively prepared engineers to work with their products.
This is very important to my organization, as we work extensively with security because we are a bank, so we can keep the data safe.
Cisco Secure Firewall allows me to safeguard Layer 7 or Layer 3 and manage the security rules with the business needs of my organization.
What makes the open-source models stand out for me compared to frontier models is that I could not afford running jobs 24/7 with proprietary solutions, which fundamentally changes my workflow.
In terms of problem-solving velocity, we have sped up about 2,000 times before using this technology while also looking for specific types of activities to enhance operator growth.
Security features impact my day-to-day work and my confidence in using the tool because I work for the insurance industry, which is a regulated industry that needs to comply with many guidelines and rules, and one of the most important is security and privacy.
| Product | Mindshare (%) |
|---|---|
| Cisco Secure Firewall | 8.1% |
| Fortinet FortiGate | 12.9% |
| OPNsense | 7.0% |
| Other | 72.0% |
| Product | Mindshare (%) |
|---|---|
| Private AI | 2.4% |
| Accenture AI services | 3.0% |
| Slalom | 2.7% |
| Other | 91.9% |

| Company Size | Count |
|---|---|
| Small Business | 196 |
| Midsize Enterprise | 130 |
| Large Enterprise | 243 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 2 |
| Large Enterprise | 7 |
Cisco Secure Firewall offers advanced security features like integration with Cisco products, role-based administration, and scalable VPN capabilities. Its application visibility and deep packet inspection are key in reducing IT workload while ensuring robust protection.
Known for its stability and comprehensive threat protection, Cisco Secure Firewall integrates seamlessly with Cisco Talos to enhance security intelligence. It streamlines operations with a strong application visibility and management console, helping secure infrastructure. However, there are noted challenges such as a less intuitive interface, complex cloud service integrations, and performance issues during updates. The pricing and licensing can be cumbersome compared to competitors, and there is room for expanded application and threat visibility.
What are the key features of Cisco Secure Firewall?Industries deploy Cisco Secure Firewall for tasks such as safeguarding data centers, traffic segmentation, and perimeter security. It is essential for filtering strategies at organizations with corporate networks and VPN hubs. Companies leverage it for edge security, network segmentation, intrusion prevention, and managing access control to ensure robust protection against threats.
Private AI safeguards sensitive data by offering advanced privacy protection tailored to today's digital landscape. It integrates seamlessly with existing systems while ensuring compliance with privacy regulations.
Designed for organizations prioritizing data privacy, Private AI provides a dynamic approach to protecting user information. Using cutting-edge techniques, it identifies and redacts personal data in datasets, ensuring data remains confidential throughout processes. With a focus on adaptability, it fits diverse needs while maintaining efficiency. Its deployment enhances data protection strategies, providing comprehensive coverage without compromising workflow fluidity.
What key features does Private AI offer?Private AI's implementations span industries like healthcare and finance, where privacy is critical. In healthcare, it protects patient data without hindering service efficiency, while in finance, it secures client information, maintaining compliance and integrity across platforms.
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