Business software’s generational AI features may become two-edged swords. It brings complexity and its own security concerns. At the same time, it may speed up operations and help new skills.
Before relational AI started to emerge, the equipment we’ve chosen were frequently greatly rated platforms, and we’ve rated them in part on their dependability and positive feedback over time. Where AI capabilities are major selling points for the products, we’ve examined them based on connectivity, ease of use, and their ability to access new areas of worth within safety solutions.
We chose to concentrate on security solutions that did n’t involve AI, preferring to those that only address AI-related threats, even though we were more inclined to choose companies that also emphasize AI-specific protections.
Major AI safety tools: Comparison desk
| Tool | Starting Value | Size | Top-level angle |
|---|---|---|---|
| SentinelOne | $ 69.99 per endpoint, per year. | Smaller business to venture. | Business protection for terminal, cloud, and data. |
| Arctic Wolf | $ 44, 000 per month. | Smaller business to venture. | Security procedures” hotel” services. |
| Darktrace | Begin at$ 30, 000 per year. | Smaller business to venture. | Strategic security with” self-learning” AI. |
| Vectra AI | Call the seller for more information. | Smaller business to venture. | focuses on using AI to deliver high-quality harm signs. |
| Zscaler | Call the seller for more information. | Enterprise. | IT and surveillance teams working in online transformation. |
Best for event answer: SentinelOne
SentinelOne offers terminal, sky, or data security. Targeted to companies, SentinelOne products area a shield over user devices, vessels, sky tasks, and IoT devices. Their managed protection services are impressive because they cover almost all conceivable gadget types and devices.
SentinelOne’s major AI services are Purple AI and the Singularity XDR Platform. The Singularity XDR Platform applies AI to prevention, diagnosis, answer, and risk looking. This is n’t generative AI, instead, the “agents” are essentially sensors reacting at faster-than-human speeds. The conceptual element comes with SentinelOne’s Purple AI, a robot that operates also to ChatGPT. Security personnel may query Purple AI in plain English to find out whether there are signs of specific challenges or more specific queries. The robot will return both script or URLs when needed as well as written answers.
Consulting company Gartner costs SentinelOne greatly, naming them a head in the monthly” Magic Quadrant” report. SentinelOne’s Vigilance MDR+DFIR detected 14 out of 14 strike actions in MITRE’s ATT&, CK Evaluations. It received praise for its extensive defense against test attacks.
Price
The basic ( or” Singularity Core” ) plan starts at$ 69.99 per endpoint for five to 10 workstations. The Singularity Core program provides role-based exposure control, multi-tenant control, and terminal security. For more features, organizations can purchase higher-tier plans up to the$ 209.99 per endpoint in its” Singularity Commercial” plan. Contact the organization to discuss enterprise-level programs.
Major Features
- Tried monitoring and answer.
- Digital investigations and event response.
- Terminal protection.
- Hazard detection and response functions for identity-based areas.
| Pros | Cons |
|---|---|
| Easy-to-use platform. | Some people report a steep learning curve. |
| A single system provides a wide range of products and services. |
Notice: Generative AI can sway North American, causing troubles for APAC clients.
Best for small businesses that do n’t have a SOC: Arctic Wolf
Arctic Wolf advertises itself as a” concierge” program designed to reduce the workload of security operations centers ( SOCs ). It’s intended to either strengthen a slim staff or provide a complete SOC for smaller or medium businesses without one. Arctic Wolf is usually well-reviewed, with buyers saying the organization is rigorous and trustworthy.
Arctic Wolf advocates AI as a way to reduce seat volumes and the inability to filter through the sizable amount of data currently available to SOCs. The company integrates modern ( but not necessarily generative ) AI into its threat defense, SOC processes like investigations and responses. In SecOps Cloud, AI and ML perform statistics analysis in Arctic Wolf.
Price
Arctic Wolf’s” hotel” company starts at$ 44, 000 per year for managed monitoring and answer for up to to 100 people. Depending on whether a service is purchased separately or in a group, prices vary.
Major Features
- Tried monitoring and answer.
- Tried danger.
- Hazard response.
- Cyber coverage.
- Public safety position administration.
| Pros | Cons |
|---|---|
| could be used to contract protection. | After Arctic Wolf submits logs, some reviewers complain that there is n’t any follow-through. |
| 24/7 services. | |
| Application and connectivity are simple, according to reviewers. |
Best for assault diagnosis: Darktrace
Darktrace ActiveAI Security Platform takes pride in being proactive and identifying tale challenges. Like another services, it’s not always an AI-first organization— but AI features boost historic, confirmed security processes. Darktrace also has its own AI research facility dedicated to utilizing AI for tasks like identifying unapproved crypto-mining and determining whether emails with similar-sounding connections are related to one another. AI uses firm data from each individual customer to identify patterns that are common or uncommon for them.
Darktrace DETECT and” Darktrace Cyber AI Loop” are AI/ML features, no conceptual AI. However, Darktrace does provide a “Cyber AI Analyst,” a relational AI agent that performs analyses and triage freely.
Darktrace maintains a forward-thinking mindset, which Microsoft recognized by naming it the UK Partner of the Year in 2024.
Price
Prices for Darktrace is based on the length of the deal, but on AWS Darktrace’s companies start at$ 30, 000 per year for up to 300 Kbps of average throughput and 200 visitors. The price could increase by$ 100, 000 due to extra seating and speed.
Major Features
- Email, OT, system, fog, identity, and terminal security monitoring.
- Attack area control.
- Incident eagerness and treatment.
| Pros | Cons |
|---|---|
| The Artificial agent can independently run investigations. | Some writers report unreliable customer service or unnecessary sales. |
| Sort alerts according to importance so that you can concentrate on what matters most. | Some clients report confusing prices and registration. |
| Readers praise Darktrace’s ability to monitor network prospects in particular. |
Vectra AI: Best for easing the learning curve
Vectra AI, which was founded in 2012, has a similar stability dashboard to those on this list. Their UI is extremely user-friendly, with a clear intensity standing front and centre. Security experts can use simple pages to observe their investigations. The AI in their name refers to” AI-driven detections”, primarily anomaly detection through machine learning. It scans consumer behavior for identified threat actors ‘ strategies, techniques, and procedures.
Vectra AI also offers Attack Signal Intelligence, the power behind the Vectra AI Platform. It offers much of the same investigative, defense, and response capabilities as those of other companies on this list, but Attack Signal Intelligence’s straightforwardness sets itself apart.
Price
For pricing, contact Vectra AI.
Major Features
- Extended detection and response.
- Discover insight into attacks and attack vectors across public cloud, SaaS, identity, and data center networks.
- SOC modernization.
- Risk management.
- defense against hybrid attack styles.
| Pros | Cons |
|---|---|
| Threats are classified by an easy-to-read “urgency score”. | Vectra AI’s dashboard may not be able to analyze granular data. |
| Some clients report excellent customer service and vendor relationships. | Lacks customization. |
| Speedy and responsive. | Limited integration options. |
Best for OT and IoT: Zscaler
Zscaler’s cybersecurity offerings focus on zero trust and cloud security, but their portfolio features various products and services. A major provider of security services to large, cloud-dependent organizations, Zcaler can guide clients through digital transformation. The company was named a leader in security service edge in Gartner’s 2024 Magic Quadrant report.
In terms of AI, Zscaler includes traditional AI and ML in its digital experience offerings ( ZDX ) through adaptable monitoring systems for customer experience, including reducing the number of tickets. ZDX employs AI to find the root causes of issues or advise users on how to resolve issues on their own.
Zscaler services can also be utilized to defend against generative AI threats. Organizations can block certain data from being accessed by employees using public generative AI platforms like ChatGPT using the Zscaler Zero Trust Exchange. At its most basic, this means blocking URLs. Predefined ChatGPT Cloud Application controls, logs with in-depth data on how employees are using AI, and Zscaler’s overarching data loss prevention suite that includes guardrails to prevent unintentional sharing of ideas with AI tools, can be used to enhance the protection.
Price
Pricing for Zscaler varies according to the plan. Contact the company for more specific information.
Major Features
- OT and IoT security.
- Secure Access Service Edge ( SASE).
- Zero trust access.
- Posture management.
- Data protection.
- Digital experience solutions.
- Digital transformation services.
| Pros | Cons |
|---|---|
| defends both against AI and with AI. | Some reviewers report issues with slow connections or latency. |
| Wide-ranging OT, cloud, and digital transformation services. |
How does AI improve cybersecurity?
As with any product, the effectiveness of AI security tools will depend on an organization’s specific needs and circumstances. In cybersecurity, it can be tricky to distinguish between traditional AI/ML and generative AI, depending on the use case. However, positive outcomes of switching to an AI-augmented cybersecurity solution may include:
- Faster threat hunting and threat detection.
- More accurate predictions.
- Natural language exchanges where security professionals can discuss challenging issues ( in the case of generative AI ) are possible.
- Generative AI can suggest queries, essentially training employees to use itself.
What difficulties do businesses encounter when implementing AI security measures?
AI security software can have a steep learning curve. generative AI can hallucinate false information while autonomous threat detection can ignore clues or flag false positives. Many organizations have prohibited AI-generated code from being posted on security teams, in part because programmers may not be motivated to thoroughly check the code. Particularly introducing generative AI models may lead to more security concerns, such as data leaks.
