Gartner Just Published the Hype Cycle for Agentic AI Security. Here's What It Means for Security Teams.
Straiker is listed as a sample vendor in the Agentic AI Security profile of Gartner's inaugural Hype Cycle for Agentic AI — one of the furthest-along profiles in the report, with a High benefit rating and a 2–5 year time to plateau.
A brand new Hype Cycle
Agentic AI was an innovation profile on the Hype Cycle for Gen AI as recently as last year. The fact that it has already spun off into its own dedicated Hype Cycle with multiple categories reflects how fast this market is moving. Within that new Hype Cycle, Agentic AI Security is one of the furthest-along profiles — benefit rating of "High," time to plateau of 2 to 5 years.
That's not a long runway. Buyers are evaluating this category now.
91% of successful attacks against productivity agents result in silent data exfiltration — Straiker Star Labs, Feb 2026 (n=67)
Why Agentic AI Security is a distinct category
Gartner's profile captures something we've been building around since day one: AI agents operate fundamentally differently from the applications traditional security tools were designed to protect. They reason autonomously, use tools, access enterprise data, and execute multi-step workflows with minimal human intervention.
The attack surface that comes with that is genuinely new. MCP, A2A, and other agentic protocols have expanded it in ways that legacy security stacks weren't built to address. The Gartner profile flags nondeterministic workflows, stateful execution, and multi-agent coordination as core challenges. These are exactly the threat vectors our research team at Straiker Star Labs has been mapping and publishing on for the past year.
The product is why any of this is possible
Analyst recognition, press coverage, customer conversations — none of it happens without a product that delivers. That's entirely a credit to the engineering and product team here at Straiker.
Discover AI, Ascend AI, and Defend AI aren't positioning slides. They're working systems: finding agents and MCP servers organizations didn't know they had, stress-testing them before deployment with real adversarial techniques, and defending them at runtime at under 300ms latency with 98%+ accuracy. The 91% silent exfiltration finding from our productivity agent research didn't come from a marketing brief. It came from running real attacks against real agents and measuring what actually happens.
The brand only exists because the product delivers and that's thanks to our product and engineering teams. Huge recognition to them for building something we can genuinely stand behind.
What this means for security teams
If you're a security leader trying to govern your organization's AI agent deployments, the Gartner report offers a useful framework. Their recommendations include enforcing zero trust and least privilege for agents, mandating human oversight for high-stakes actions, and limiting tool access to what each task strictly requires.
These align closely with how Straiker is built. Our research has contributed to the broader community's understanding of what agentic risks actually look like in practice from prompt injection through MCP connectors to silent data exfiltration with no jailbreak required.
A word on timing
Gartner Hype Cycles for AI typically publishes in June or July. This one arrived in April. We think that acceleration reflects what we hear from buyers every week: organizations aren't waiting for the market to mature before deploying AI agents. The urgency is real, and it's why we built Straiker the way we did.
There's a lot more to come.
A brand new Hype Cycle
Agentic AI was an innovation profile on the Hype Cycle for Gen AI as recently as last year. The fact that it has already spun off into its own dedicated Hype Cycle with multiple categories reflects how fast this market is moving. Within that new Hype Cycle, Agentic AI Security is one of the furthest-along profiles — benefit rating of "High," time to plateau of 2 to 5 years.
That's not a long runway. Buyers are evaluating this category now.
91% of successful attacks against productivity agents result in silent data exfiltration — Straiker Star Labs, Feb 2026 (n=67)
Why Agentic AI Security is a distinct category
Gartner's profile captures something we've been building around since day one: AI agents operate fundamentally differently from the applications traditional security tools were designed to protect. They reason autonomously, use tools, access enterprise data, and execute multi-step workflows with minimal human intervention.
The attack surface that comes with that is genuinely new. MCP, A2A, and other agentic protocols have expanded it in ways that legacy security stacks weren't built to address. The Gartner profile flags nondeterministic workflows, stateful execution, and multi-agent coordination as core challenges. These are exactly the threat vectors our research team at Straiker Star Labs has been mapping and publishing on for the past year.
The product is why any of this is possible
Analyst recognition, press coverage, customer conversations — none of it happens without a product that delivers. That's entirely a credit to the engineering and product team here at Straiker.
Discover AI, Ascend AI, and Defend AI aren't positioning slides. They're working systems: finding agents and MCP servers organizations didn't know they had, stress-testing them before deployment with real adversarial techniques, and defending them at runtime at under 300ms latency with 98%+ accuracy. The 91% silent exfiltration finding from our productivity agent research didn't come from a marketing brief. It came from running real attacks against real agents and measuring what actually happens.
The brand only exists because the product delivers and that's thanks to our product and engineering teams. Huge recognition to them for building something we can genuinely stand behind.
What this means for security teams
If you're a security leader trying to govern your organization's AI agent deployments, the Gartner report offers a useful framework. Their recommendations include enforcing zero trust and least privilege for agents, mandating human oversight for high-stakes actions, and limiting tool access to what each task strictly requires.
These align closely with how Straiker is built. Our research has contributed to the broader community's understanding of what agentic risks actually look like in practice from prompt injection through MCP connectors to silent data exfiltration with no jailbreak required.
A word on timing
Gartner Hype Cycles for AI typically publishes in June or July. This one arrived in April. We think that acceleration reflects what we hear from buyers every week: organizations aren't waiting for the market to mature before deploying AI agents. The urgency is real, and it's why we built Straiker the way we did.
There's a lot more to come.
