AI-powered cybersecurity is not one product or one capability. It describes tools that use AI to help with security work—such as detecting threats, investigating alerts, and responding—as well as tools that protect AI models, applications, workloads, and agents. To evaluate a product, start with the risk and systems it covers, then check how it fits your existing tools, what it automates, and whether its results have been independently demonstrated.
What does AI-powered cybersecurity mean?
The term covers several different jobs. A security operations platform may use AI to help analysts find and investigate threats. A cloud security product may identify risks in cloud environments or AI applications. Another product may govern what an AI agent is allowed to do. These tools address different assets and workflows, so the “AI-powered” label alone does not tell you whether a product fits your organization.
There are also two directions to consider: using AI to defend an organization, and securing the AI systems the organization deploys. A platform might do one, the other, or both. Google Cloud and Wiz, for example, have described a planned offering that combines security operations and threat intelligence with cloud and AI security. Google Cloud CEO Thomas Kurian said the platform would aim to detect, prevent, and respond to threats across environments; that is a statement about the intended offering, not evidence that it has achieved those outcomes.
Which security problems can these products address?
Security operations and threat detection
Security information and event management (SIEM) products collect and analyze security data from an organization’s systems. AI features may help prioritize alerts, connect related signals, or support investigation and response. The practical question is whether the platform can use the telemetry that matters in your environment and help analysts act on it—not simply whether it advertises AI.
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- HARDWARE PLUS SECURITY SERVICES: FortiGate-60F Firewall Appliance bundled with 3 year of FortiCare Premium and FortiGuard Unified Threat Protection.
- UNIFIED THREAT PROTECTION (UTP): Secures against advanced online threats with comprehensive web filtering and anti-botnet technologies.
- OPTIMIZED FOR MEDIUM-SIZED BUSINESSES: Tailored for businesses needing robust security without the infrastructure of larger enterprises.
- RELIABLE CUSTOMER SUPPORT: FortiCare Premium ensures high-quality support and service continuity.
- EFFECTIVE PROTECTION: Employs advanced filtering technologies to safeguard against sophisticated threats.
CRN reported that CrowdStrike added support in Falcon Next-Gen SIEM for ingesting and correlating telemetry from Microsoft Defender for Endpoint. That is a concrete example of an integration that may matter to organizations using both products; it does not by itself establish that the combination detects threats more effectively.
Cloud and AI application defense
Cloud security products focus on risks in cloud environments, while AI security features may extend coverage to models, applications, workloads, and development processes. CRN described Palo Alto Networks’ Prisma AIRS capabilities as including model scanning, posture management, AI red teaming, runtime security, and agent protection. These functions address different stages and components of an AI system; buyers should confirm which are available in the product and edition they are evaluating and how they map to their own architecture.
Rank #2
- Enterprise-grade prevention, detection, correlation and response from the perimeter to the endpoint with our Total Security Suite.
- Gain critical insights about network security, from anywhere and at any time, with WatchGuard Cloud.
- Built-in compliance reports, including PCI and HIPAA, mean one-click access to the data you need to ensure compliance requirements are met.
- Up to 18 Gbps firewall throughput. Turn on all additional security services and still see up to 2.4 Gbps throughput.
CRN also reported that Google Cloud and Wiz were building a unified platform intended to combine Google threat intelligence and security operations with Wiz cloud and AI security. The report said Wiz products would continue to support multiple major cloud providers. Treat those details as reported plans and product descriptions, and verify current availability and coverage with the vendors before making a purchasing decision.
AI agent permissions and oversight
An AI agent may be able to take actions—not just retrieve information—so controlling access to systems is only part of the problem. Cisco’s approach, as reported by CRN, includes task-based permissions and monitoring of agent actions. Cisco senior vice president and general manager Tom Gillis described the shift as one from “access control to action control.” In practice, buyers should ask how permissions are scoped, what actions are logged, and which actions require human approval.
Rank #3
- Entry-Level Privacy Gateway: Designed for users who want simple online privacy protection at an affordable level—ideal for basic home networking and daily internet use.
- Secure Browsing for Everyday Needs: Perfect for email, social media, online shopping, and standard streaming—protecting your connection while keeping setup and operation easy.
- Lightweight Protection Against Common Online Threats: Helps reduce exposure to unwanted ads, trackers, and risky websites, improving online safety for your household.
- Simple Setup, No Technical Skills Required: Plug it in, follow the quick steps, and start using—an excellent choice for beginners who don’t want complicated network configurations.
- Decentralized VPN (DPN) Included – No Monthly Payments: Get built-in decentralized VPN access with lifetime free usage, helping you stay private without paying recurring subscription fees
Human oversight can also be part of an automated security workflow. CRN reported that Arctic Wolf’s Aurora Agentic SOC uses what the company describes as hundreds of agents for security tasks while retaining human experts for oversight and validation. The agent count and claimed benefits are company descriptions, not independent measurements of effectiveness.
Exposure management and adjacent capabilities
Exposure management is concerned with identifying and prioritizing weaknesses or risks across an organization’s technology environment. AI-related tools may extend that work to AI applications or agentic development. CRN’s RSAC 2026 coverage reported announcements from vendors including Snyk, which it associated with AI security posture management for agentic development. The same coverage included announcements spanning AI application protection, threat intelligence, autonomous-agent governance, and quantum-ready PC security features. These examples show how broad the category has become; they are not interchangeable solutions to the same security problem.
Rank #4
- Single appliance with integrated firewalling, SD-WAN and Wi-Fi controller reduces complexity of WLAN management. Its zero-touch deployment helps optimize your onboarding experience.
- Built on a patented secure processor, this compact network firewall delivers the highest level of security and performance in its class – 800 Mbps IPS | 500 Mbps threat protection.
- User-friendly management console gives you centralized visibility and simplifies policy enforcement across your network. Its zero-touch deployment helps you optimize your onboarding experience.
- Compact and fanless design equipped with 4 GE RJ45 ports (1 WAN port and 3 internal ports) provide essential connectivity and flexibility for various network configurations in a small-scale environment.
- Including award-winning FortiGate hardware and 3-year FortiGuard AI-powered UTP security services. Services cover IPS, Advanced Malware Protection, Application Control, URL, DNS & Video Filtering, Antispam Service, and FortiCare Premium customer support.
How to compare AI cybersecurity products
Compare products against the same use case and environment. A feature list is less useful than clear answers about coverage, integration, human control, and measurable outcomes.
| What to compare | Questions to ask |
|---|---|
| Security problem | Is the product intended for security operations, cloud or AI application defense, email security, exposure management, agent governance, or another specific job? Which risk or workflow is it meant to improve? |
| Assets and data covered | Which clouds, endpoints, models, applications, agent actions, and telemetry sources are in scope? Are the systems you rely on supported, including tools from other vendors? |
| Integration | Can the product ingest the relevant data and work with your existing security stack? What configuration, permissions, or additional components are required? |
| Automation and human control | Which steps can the product take on its own? Can you set task-specific permissions, review actions, require approval, and preserve an audit trail? Who validates the result? |
| Evidence of value | What evidence shows reduced risk, faster response, or less analyst workload? Was it independently evaluated, or is it a vendor’s claim? Does the evidence reflect your environment and use case? |
These questions apply whether you are assessing a broad security operations platform or a narrower product for AI workloads or agents. For example, support for Microsoft Defender for Endpoint telemetry may be relevant to a SIEM buyer, while permission boundaries and action monitoring may matter more to an organization deploying agents that can change systems or handle sensitive data.
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What is known about AI use by attackers?
CRN’s 2025 interview with Palo Alto Networks Chief Product Officer Lee Klarich reported his statement that the company had data showing a 300 percent year-over-year increase in new attacks per day. This is a statistic attributed to a vendor executive and relayed by CRN; it is not an independently established industry-wide measure. The CRN coverage summarized here does not establish a comparable industry-wide rate for attacker AI use or enterprise adoption of defensive AI. The figure therefore cannot answer how widely attackers use AI compared with defenders.
How should buyers validate claims?
Product announcements and executive statements can identify capabilities worth investigating, but they do not establish comparative effectiveness. The CRN examples discussed here do not include a controlled head-to-head evaluation of the named products. Ask vendors to demonstrate the functions relevant to your use case using representative data and workflows, and distinguish a demonstrated capability from a claimed outcome.
- Define the problem and systems that must be covered before comparing products.
- Verify current product availability, integrations, cloud coverage, permissions, and logging in your intended configuration.
- Test what the system detects, recommends, and actually does, including the points where a person can approve, validate, or stop an action.
- Evaluate outcomes that matter to your organization, such as risk reduction, investigation quality, response time, and operational burden, without treating vendor claims as independent proof.
As CyFlare founder and CEO Joe Morin put it in CRN’s coverage, evaluation is about whether a product reduced risk and whether it makes data and compliance reporting easier. Those are useful buyer questions, but the answer depends on evidence from the organization’s own requirements and environment.
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