DataDome has been identified as a Sample Vendor of Bot Management in the Gartner Hype Cycle for Application Security, 2025 report.

Bot management goes “Mature mainstream”

In the 2025 Hype Cycle for Application Security, bot management has reached the Mature Mainstream stage—which we believe is a milestone that signals both stability and broad adoption. At this level of maturity, the technology is deemed well-established, with a handful of dominant providers having emerged as market leaders. 

Gartner estimates that more than 50% of the target audience has already implemented a bot management solution, which, in our opinion, highlights both the necessity of the protection capability and the pace at which adoption has accelerated. In other words, bot management has become a foundational component of enterprise security strategy.

The pace of advanced bots is not slowing down

While the bot protection market has matured, the threat environment continues to evolve rapidly. The “cat-and-mouse” game between fraudsters and the target businesses defending themselves is being played at exponential speed and sophistication. Keeping pace requires vendors to have specialized threat research teams and AI detection models that can continuously refine detection and response capabilities based on new collective intelligence, contextual behavioral analysis, and feedback loops. This “ever-improving” and recurring cycle on autopilot is now a core requirement, not a luxury. Any reduction in focus or investment quickly diminishes performance and exposes the gaps.

Why the dichotomy between market maturity and market recognition of highly dynamic threats? For many organizations, initial adoption of bot management solutions begins with basic protections bundled into CDNs or cloud platforms. These can provide a first, easily integrated layer of defense against bot attacks, like credential stuffing, web scraping, Layer 7 DDoS, and carding, but they are rarely sufficient against today’s highly adaptive adversaries. 

As businesses feel the pain of attacks that evade such basic defenses, they increasingly replace or layer these entry-level defenses with specialist platforms designed to counter the most sophisticated bot attacks. A challenge facing businesses is that with easily accessible open-source tooling, effective bot-as-a-service vendors, and new AI capabilities, it’s never been easier to deploy sophisticated bots to commit fraud. One result: a bifurcated security market for this segment, with baseline solutions for general coverage and advanced bot management for enterprises that need protection and resilience at scale.

Rethinking CAPTCHA in a world of advanced bots

Gartner notes that legacy CAPTCHA solutions can often be bypassed, whether by solver services or, increasingly, by AI tools that automate the task at scale. At the same time, poorly implemented CAPTCHAs frustrate legitimate users, harming conversion rates and overall user experience. This means that the cost-benefit equation is now upside-down; bot management vendors that rely predominantly on CAPTCHA-first methods, where the complexity of the visible challenge is the source of the security, are outdated. 

Rather than relying on visible CAPTCHA challenges, modern bot management emphasizes AI-powered detection that uses client-side and server-side signals, performs behavioral analysis, leverages cryptographic proofs-of-work, and assesses intent in real-time and continuously. This approach maximizes detection of bots, AI agents, and malicious intent while ensuring frictionless user experiences. With DataDome, our customers can configure their protection to use 100% Device Check for invisible challenges, with no CAPTCHA at all, or keep CAPTCHA available for specific customer-driven scenarios.

Equally important is what happens behind the scenes, which ensures detection accuracy over time. DataDome provides full transparency, robust analytics, and a closed feedback loop that continuously improves accuracy while minimizing false positives. This ensures that our customers maintain insight into and control over their traffic, without annoying real users with unnecessary roadblocks.

AI is arming attackers with new tricks

The 2025 Hype Cycle shows just how fast the threat landscape is shifting. In the “Innovation Trigger” phase alone, we see AI Security Testing, AI Gateways, AI Code Security Assistants, and AI Runtime Defense—all born from the risks that AI introduces. Each represents a reminder that adversaries are already experimenting with AI at scale.

In the AI agent era, visibility is the new foundation

The arrival of large language models and autonomous AI agents has reshaped how online traffic looks and behaves. Some of these AI bots and agents are valuable—powering search, productivity tools, or machine-to-machine integrations that build awareness and drive new user interactions. Others are risky, used for scraping and content theft, fraud, or attempts to manipulate business logic. The challenge for security teams is that both appear almost indistinguishable without the right visibility.

That’s why bot management in 2025 is about more than blocking malicious bot traffic—it’s about understanding who or what is interacting with your applications: are they legitimate or illegitimate users, and what their intent is in real-time and over time. This is becoming an existential question for businesses, from publishers to e-commerce, because LLM crawler and agentic traffic is exploding, quadrupling from 2.6% to 10.1% of bot traffic between January and August 2025 for DataDome customers.

Source: DataDome

The first step is visibility: being able to distinguish humans from bots, verified from unverified AI bots, and good from malicious intent. With that intelligence in hand, organizations can make informed choices: allow trusted bots and agents, block malicious automation, and apply policies that reflect business goals. 

Earlier this year, DataDome expanded our capabilities to explicitly identify this new category, surfacing agentic AI and LLM crawler activity directly within the dashboard. This builds on more than a year of detection breakthroughs from our threat research team, focused specifically on LLM and AI traffic patterns. The result is immediate value for customers:

• Detects and classifies AI and LLM traffic automatically into its own category
• Shows what exactly is interacting with your digital assets and how, and for what purpose
• Enables intelligent policy responses tailored to your traffic

Now, through partner integrations with Tollbit and Skyfire, DataDome has enabled enterprises to protect their sites and content and monetize the AI traffic visiting their websites, mobile apps, and APIs. Our threat dashboard provides a new “Monetize” response policy option, so you can configure responses by AI and LLM providers, whether OpenAI, Perplexity, Amazon, or others, who you may want to hit a paywall for access.

In sum, bot management may have reached “mature mainstream” status in this latest Hype Cycle, but the pace of innovation in AI and agentic AI and what that means to many businesses has unlocked new use cases and value to consider adding or expanding bot management solutions for your infrastructure.

Assess your application security for free with DataDome

Identified as a representative vendor in the Hype Cycle, DataDome protects websites, mobile applications, and APIs against malicious bots and online fraud on any infrastructure. In addition, DataDome offers AI traffic monetization options, so you can turn AI traffic into another revenue stream. To see the attacks targeting your platform in real time, start your Vulnerability Scan to access your threat dashboard now.

Gartner Disclaimer

Gartner, Hype Cycle for Application Security, 2025, Dionisio Zumerle, 22 July 2025

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