Artificial intelligence (AI) has long been the darling of tech headlines. With all the exaggeration, one will assume that the business has mastered the tools. But, beneath the buzz, the real potential of AI is still undeveloped.
In 2021, the Identity Theft Resource Center involved 1,862 data breaches. Today, the jaw-dropping personal data of 1.7 billion people have been torn apart by cybercriminals operating at machine gun speeds. In short, when companies tinker with AI as a shiny novelty, the bad guys think it’s deadly.
Mismatches stem from outdated defenses. Many organizations continue to use legacy tools to live, which stick to the outdated concept of trust built using simpler time. At the same time, the attacker embraced the generated AI (Genai) to bypass these defenses with archiveless malware and polymorphic code that are faster than traditional defense capabilities.
As laptops, desktops, smartphones and IoT devices continue to breed, the window for vulnerabilities will expand. Endpoint management must evolve to meet this escalating challenge, or the enterprise has the potential to lose all of these challenges.
How Genai saves it from the abyss of support
We’ve all been – painfully waiting for the customer support technician to unravel the technical chaos. As thousands of tickets accumulate, it supports team extensions through a massive ecosystem of equipment, remote workforce and ruthless cyber threats. Fortunately, with Eliza, a breakthrough in human computer dialogue in the 1960s, we jumped from basic scripts to Alexa’s smooth response and now turned to Genai Powerhouses like Bard.
Imagine the following figure: The user’s firewall settings are operated. In the past, they would record a ticket and wait. Now, a Genai-powered virtual assistant can diagnose and resolve faults in seconds. These agents can also guide users through onboarding, clarify policy-based queries and address connectivity slap, allowing IT teams to release more strategic tasks.
Better yet, instead of wading through intensive documentation or decoded terms, Genai Chatbots helps employees leverage the resources provided by the company to express precise solutions.
Genai Impact will not stop user support. For example, when an endpoint stumbles upon a failed update or malicious crash, Genai can interpret an organization’s unified endpoint management (UEM) solution and cross-reference logs in user reports, allowing IT administrators to resolve the issue. By bridging user help and system-level diagnosis, Genai transforms it from a bottleneck to a strategic asset.
Security gap with Genai endpoint
On average, it takes a staggering 277 days to identify and include violations, and weaponized AI has been making closing the gap even more difficult. While 90% of executives view AI-powered attacks as an escalating storm, one-third of organizations still lack a documented strategy to defend the Genai threat. Worse, opponents are now using AI to disguise their movements in network traffic, making them harder to detect.
Take Kimsuky (also known as Emerald Sleet) as an example. The Northeast Link threat actor is known for his complex eight-stage attack chain. The team uses legitimate cloud services to fit in, while leveraging AI for continuous reconnaissance, evasion and adaptation.
Relying on reactive defense against such complex attacks is a failed bet. In this world, opponents can violate the system in minutes and spend a day ingesting data, while another search is a failed battle. As Gartner suggests, a smarter approach is to think of AI-enhanced security tools as power multipliers. Experienced professionals handle nuanced decisions that require a business environment, but allow AI to parse logs, learn from historical data, point patterns, and predict trouble before the strike.
In addition to the ability to analyze large amounts of data sets, the endpoint management framework for embedding AI into an organization has other advantages. For example, its administrators can ask ordinary language questions such as “Which devices haven’t been updated in 90 days?” or “How many endpoints have an outdated antivirus software?” AI embedded in the organization’s UEM platform handles requests, mines through endpoint data, and provides detailed reports that make it faster and smarter decisions.
When the device is non-compliant, perhaps by installing unauthorized applications, Genai can analyze the context and recommend the best course of action to be performed through the UEM. This reduces the time between problem identification and solution, ensuring endpoints remain compliant, secure and operational. In addition to personal events, AI also addresses compliance challenges by continuously monitoring and enabling the entire equipment fleet to meet regulatory standards, whether it is GDPR, HIPAA or any industry-specific authorization.
To go beyond adversarial advantages, organizations should choose defensive AI. Organizations need to weave AI into a strategic layout in their cybersecurity stack, rather than pile up too many endpoints with proxy or user-level authentication layers.
Genai-Power Automation: Revolutionary Scripts and Others
For years, IT teams have relied on scripts to automate repetitive tasks, ensuring consistent deployment, minimizing sliding and simplifying workflows. But writing and fine-tuning scripts to manage endpoints can be a barrier, even for professional coders.
Genai eliminates these obstacles with a bold leap of algebraic automation. IT administrators can now simply generate a PowerShell script to deploy the latest patches, and the solution can spit out code that can run in seconds instead of working manually, instead of simply generating a PowerShell script. Paired with a UEM solution, IT administrators can easily run scripts on thousands of devices. Tools like the Six Show Genie take a step further by allowing administrators to generate, verify, adjust or require versions tailored to a diverse fleet.
Apart from automation, Genai has been entering the field of zero trust frameworks. Although Zero Trust requires ruthless verification of each access request, Genai is still scanning, detecting and neutralizing threats in real time. Advanced Security Platforms now weave endpoint detection and response (EDR), extended detection and response (XDR), and identity protection and identity protection as a unified, AI-powered shield. Genai will not only mark it when there is a suspicious login circle on the endpoint. It cross-references network data, assesses risks and triggers locking if needed.
The point is clear: the cobblestone solution is not enough to defend against threats designed to go beyond static defense. In this escalating AI arms race, sticking to yesterday’s defense is more than just a gamble. This is a blueprint for failure. Businesses must use AI as a companion to their traditional solutions. Faster, endpoint management will become an autonomous entity in the IT ecosystem, detecting and mitigating evolving threats before they lead to a full breach.
