As artificial intelligence technology evolves, so do the tactics of cybercriminals. Recent reports, particularly from cybersecurity firm CrowdStrike, highlight a disturbing trend where AI tools are increasingly being leveraged by online criminals to enhance the scale and efficiency of their attacks. According to their findings, AI-enabled threats have surged by nearly 89% in 2025, leading to more sophisticated cyber threats, including phishing, social engineering, and exploitation of vulnerabilities.
The rise of generative AI has equipped less experienced hackers with tools to generate malicious code. This includes using AI chatbots, like ChatGPT, which have gained popularity on hacking forums. While some inexperienced hackers can produce workable malicious code using these AI tools, their lack of understanding can also lead to poorly designed exploits. For example, CrowdStrike researchers analyzed ransomware built using generative AI that contained significant flaws due to the threat actor’s lack of cryptographic knowledge. As a result, they were able to reverse-engineer the ransomware and thwart the attack effectively.
For small and medium-sized businesses (SMBs), this landscape poses unique challenges. Cybersecurity measures must evolve concurrently with this trend. SMBs often face resource constraints and may lack the in-depth expertise required to counter AI-enhanced attacks effectively. This is where automated cybersecurity solutions come into play. Tools like Darktrace and SentinelOne are designed to help businesses navigate these concerns.
Darktrace employs self-learning AI, which adapts to the organization’s specific environment. Its Autonomous Response feature accurately identifies unusual patterns and responds to them in real-time. This tool is particularly effective for SMBs as it requires minimal human intervention, allowing teams to focus on strategic initiatives rather than constant monitoring. On the other hand, SentinelOne adopts a more traditional endpoint protection model but integrates automation and machine learning for threat detection and remediation. While both tools offer solid capabilities, Darktrace is generally better for companies that are looking for a more hands-off mitigation strategy, whereas SentinelOne is ideal for organizations with dedicated IT teams who can leverage its more granular controls.
Considerations around pricing are also crucial for SMBs. Darktrace typically operates on a subscription model with costs scaling based on the organization’s size and network complexity. In comparison, SentinelOne also opts for subscription pricing but may have tiered options depending on the features chosen. For a typical medium-sized business, the annual cost for Darktrace might range from $20,000 to $50,000, while SentinelOne could range from $15,000 to $40,000. However, these prices can fluctuate significantly based on usage metrics and integrations.
Speaking of integrations, both tools provide compatibility with existing infrastructure, which is vital for SMBs eager to enhance their cybersecurity posture without overhauling their current systems. Darktrace, in particular, excels in its wide-ranging compatibility across disparate systems, while SentinelOne boasts robust integrations with other security tools, enhancing overall effectiveness.
When exploring limits, both platforms have their unique strengths. Darktrace offers near real-time threat detection but may produce false positives, requiring an active response team to validate alerts. SentinelOne provides in-depth endpoint visibility, but with that complexity comes a steeper learning curve for staff.
Support services are essential, especially for SMBs operating with smaller teams. Darktrace is known for offering premium customer support, which can be a significant advantage for companies lacking robust IT departments. In contrast, while SentinelOne provides solid customer service, its support channels may fall short of Darktrace’s hands-on approach.
For SMBs contemplating migration, the initial steps involve identifying vulnerabilities within their current systems, defining objectives for the new tool and aligning it with compliance requirements. Conducting a low-risk pilot using one of these AI solutions requires selecting a smaller segment of the network or a subset of users. For example, running Darktrace in a limited capacity in a less critical area can help assess its effectiveness without jeopardizing critical operations.
Furthermore, it is essential to consider the total cost of ownership (TCO) for these platforms. Beyond initial pricing, costs associated with integration, employee training, and potential downtime during the migration phase should be factored in. Regarding ROI, improvements can often be seen within a three to six-month window, as effective deployment of these tools not only mitigates risks but can also result in lowered insurance costs and decreased likelihood of costly disruptions.
Both Darktrace and SentinelOne provide valuable resources for SMBs amid the evolving threat landscape driven by AI-enhanced cybercrime. Choosing between these tools necessitates weighing the specific needs and resources of the organization, understanding the complexities of existing infrastructure, and aligning business objectives with risk management commitments.
FlowMind AI Insight: As the cybersecurity landscape transforms, SMBs must proactively adapt by implementing AI-driven solutions that enhance their defenses against increasingly sophisticated threats. The combination of effective monitoring and a well-informed response strategy can pave the way for sustainable security in a digital-first world.
Original article: Read here
2026-02-24 18:03:00