Category naming

Category Naming: Quint’s Market Position

Last updated: 2026-05-03. Based on analyst reports, acquisition messaging, vendor product names, CISO discourse, and RSA 2026 floor signals.

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What the Analysts Call It

Gartner coined the category in the April 2026 Hype Cycle for Agentic AI:

“Agentic AI security protects autonomous or semiautonomous, goal-driven AI systems by implementing dynamic controls, continuous monitoring, and adaptive access and governance.”

The term sits at the Peak of Inflated Expectations. Zenity was named in two categories in this Hype Cycle. Gartner also tracks “AI SOC Agents” in the Security Operations Hype Cycle (June 2025) — that is the using AI side, not the securing AI side.

Forrester uses “Agentic AI Security” as a featured topic on their Predictions 2026 hub alongside Zero Trust. They published the AEGIS framework (Agentic AI Enterprise Guardrails for Information Security) covering GRC, IAM, data security, appsec, threat management, and Zero Trust. They predict an agentic-AI-powered breach in 2026.

IDC frames it under “AI Governance” (IDC MarketScape: Worldwide Unified AI Governance Platforms 2025-2026) and the broader “Agentic AI” FutureScape, with a sub-theme: “The New Cyber Trinity: Human, AI Agents & Trust.” They project AI spending at $242B in 2025 growing to$867B by 2029.

Verdict: The analyst-consensus term is “Agentic AI Security.” Not “AI agent security” (too generic), not “AI runtime security” (too narrow), not “AI EDR” (nonexistent in analyst taxonomy).

What the Acquired Companies Became

Startup	Acquirer	Price	Post-Acquisition Branding
Protect AI	Palo Alto Networks	~$500M	Prisma AIRS (AI Runtime Security)
Koi	Palo Alto Networks	undisclosed	”Agentic Endpoint Security” (AES) — explicit new category claim
Prompt Security	SentinelOne	~$250M	Singularity platform, “GenAI Security”
Robust Intelligence	Cisco	undisclosed	Cisco AI Defense
CalypsoAI	F5	$180M	F5 ADSP, “AI inference security”
Lakera	Check Point	~$300M	Global Center of Excellence for AI Security
Pangea	CrowdStrike	undisclosed	Falcon platform, “AI interactions security”
Aim Security	Cato Networks	undisclosed	SASE-integrated AI controls

Pattern: Every acquirer absorbed the startup into their existing platform brand. The standalone category names died on acquisition day. Only Palo Alto explicitly claimed a new sub-category (“Agentic Endpoint Security”) — and that is a feature inside Prisma AIRS, not a market.

What Big Vendors Ship

Vendor	Product Name	What It Does
CrowdStrike	Falcon AIDR (AI Detection & Response)	Agent discovery, shadow AI governance, runtime threat detection from endpoint
Palo Alto	Prisma AIRS 3.0	Lifecycle security: model scanning, agent red teaming, runtime, MCP gateway, AES
Cisco	AI Defense	Identity for agents, Zero Trust access, runtime guardrails, agentic SOC
Microsoft	Defender + Copilot ecosystem	AI governance via Azure AI Foundry, Purview for AI data
F5	AI Gateway (CalypsoAI)	Inference-layer security: prompt filtering, jailbreak prevention
Check Point	Infinity + Lakera	AI-native security for agentic applications

Pattern in naming: Platform-first, feature-second. “Falcon AIDR” = existing brand + AI modifier. “Prisma AIRS” = existing brand + AI modifier. Nobody is letting a startup name persist. The category name lives above the product names.

What CISOs Are Saying

IANS Research ranked “Identity Assurance for an AI World” as the #2 CISO priority for 2026 (4.46/5). Bessemer’s 2026 cybersecurity thesis identifies “securing AI agents” as the defining challenge. CSO Online published “Runtime: The new frontier of AI agent security.” Reco published “8 Best AI Agent Security Tools for CISOs to Consider in 2026.”

The CISO framing is converging on three questions: (1) What agents are running? (2) What can they access? (3) What do I do when one goes wrong? This maps to discovery, governance, and runtime — the exact Gartner definition.

Phil Venables (Google Cloud CISO, Ballistic Ventures) frames 2026 as needing “security for AI” alongside “AI for security” — with agentic control planes as the key new surface. Anton Chuvakin (Google Cloud) published a 2025 recap focused on “AI security & governance themes” with agents as first-class citizens in risk models. Kelly Jackson Higgins (Dark Reading) reported from RSA 2026 that agentic AI moved “way faster” than expected. The BVP thesis calls it “securing AI agents” not “AI agent EDR” or “behavioral intelligence.”

Five Candidate Category Names, Ranked

1. Agentic AI Security (RECOMMENDED)

• Differentiation from CrowdStrike/SentinelOne: They use this as a feature label under their platforms (Falcon AIDR, Singularity). A pure-play can own the category name itself while they fight over features.
• Clarity to a non-AI-expert CISO: “Agentic AI” is already in every board deck. Adding “Security” makes it immediately parseable.
• Search volume proxy: Gartner, Forrester, IDC, BVP, IANS, CSO Online, and Zenity all use this exact phrase. RSA 2026 was wall-to-wall “agentic AI security.” The term has momentum.
• SEO ownability: High. No dominant pure-play owns the SERP. Zenity, Reco, and a few startups have partial presence. The big vendors don’t optimize for it — they optimize for their product names.
• Sounds like a category, not a feature: Yes. “Agentic AI Security” is what Gartner put in the Hype Cycle. It is the category.

2. AI Agent Runtime Security

• Differentiation: Strong — “runtime” is specific and implies depth, not just governance.
• CISO clarity: Medium. “Runtime” is a developer word. CISOs understand it but won’t search for it.
• Search volume: Lower. CSO Online used it; Palo Alto uses “AI Runtime Security” inside Prisma AIRS.
• SEO ownability: Decent, but risks being absorbed as a Prisma AIRS feature description.
• Category vs. feature: Feels like a layer, not a market. Accurate for Quint’s technical positioning but too narrow to own a budget line.

3. AI Agent EDR

• Differentiation: Provocative. EDR is a $10B+ category CISOs already buy.
• CISO clarity: Immediately understood. “EDR but for AI agents” is a one-breath pitch.
• Search volume: Near zero. Nobody uses this term yet. Zero analyst coverage.
• SEO ownability: Very high for the term itself, but you have to create the search demand from scratch.
• Category vs. feature: CrowdStrike literally named their product “AI Detection & Response.” This risks sounding like a CrowdStrike feature, not a separate market.

4. Delegation Accounting

• Differentiation: Extremely high. Nobody else uses this.
• CISO clarity: Zero. A CISO hearing “delegation accounting” would think GRC or IAM, not security for AI agents.
• Search volume: Zero.
• SEO ownability: Total ownership, but of a term nobody searches for.
• Category vs. feature: Novel framing that could work in a Notion doc or a fundraising deck, not on a landing page a CISO has to approve budget for.

5. Autonomous Developer Agent Security

• Differentiation: Good. Narrows to developer agents specifically.
• CISO clarity: Medium. Long. Confusing — is this about securing developers or securing agents that develop?
• Search volume: Near zero.
• SEO ownability: High but irrelevant at zero volume.
• Category vs. feature: Too narrow. Quint secures all agents, not just developer agents.

The Pick: Agentic AI Security

Committing. Here is why:

1. It is the Gartner term. When a CISO asks their Gartner analyst “what should I buy for AI agent risk?” the analyst will say “agentic AI security.” Quint needs to be the answer to that question.
2. It is broad enough to own. Runtime, governance, endpoint, identity — all fit under “agentic AI security.” Quint can expand the definition rather than being boxed into one layer.
3. The big vendors cannot own it. CrowdStrike calls their product Falcon AIDR. Palo Alto calls theirs Prisma AIRS. Cisco calls theirs AI Defense. None of them will name their product “Agentic AI Security” because they already have brand names. The category term is unclaimed.
4. The acquisition wave left a vacuum. Protect AI, Prompt Security, Lakera, CalypsoAI, Pangea — all gone. The pure-play startups that could have claimed this category got absorbed. The remaining independents (Zenity, Noma, Straiker, WitnessAI) have not claimed it definitively.
5. It passes the budget test. A CISO can write “Agentic AI Security” on a purchase order and their CFO will understand what it is. “Delegation Accounting” fails this test completely.

Use “AI Agent EDR” as a secondary hook in content marketing and sales conversations — it is a great soundbite that makes the value prop click instantly. But do not lead with it. It is a metaphor, not a category.

The Pitch

One sentence (5 seconds): Quint is agentic AI security — we see what every AI agent does on your developers’ machines and stop the ones that go wrong.

30-second version: AI agents are the new workforce. They write code, access production databases, and call APIs with the same privileges as your senior engineers — but no one is watching them. Quint provides agentic AI security for the endpoint: continuous behavioral monitoring of every AI agent action, real-time risk scoring, and enforcement before damage happens. Think of it as EDR rebuilt for the age of autonomous AI.

90-second version: Your developers just gave Claude and Cursor root access to your codebase. Those AI agents read secrets, modify infrastructure, and push code — autonomously, at machine speed, with zero audit trail. Traditional EDR was built to watch humans click around an OS. It cannot see an AI agent reasoning its way through your production environment.

Quint is the agentic AI security platform built for this exact problem. We sit at the endpoint — where agents actually execute — and capture every action: file reads, network calls, tool invocations, MCP server connections, subprocess spawns. We build behavioral baselines per agent, per session, per developer. When an agent deviates — exfiltrating data, accessing systems outside its scope, or chaining actions in ways that look like an attack — we score the risk in real time and enforce policy before it matters.

CrowdStrike watches humans. Palo Alto watches the network. Quint watches the agents. That is the gap, and we close it.

SEO Strategy

If we commit to “Agentic AI Security,” here is the content infrastructure:

Landing page (week 1)

• quintai.dev/agentic-ai-security — the definitive page. 2,000 words. Define the category. Reference Gartner’s definition. Include the three pillars (discovery, governance, runtime). Product screenshots.

Pillar blog posts (weeks 2-4)

• “What is Agentic AI Security?” — definitional, SEO-optimized, targets the exact Gartner phrase
• “Agentic AI Security vs. Traditional EDR: Why CrowdStrike Cannot See Your AI Agents” — competitive differentiation
• “The CISO’s Guide to Agentic AI Security in 2026” — targets buyer persona, references IANS/BVP/Forrester AEGIS
• “How Palo Alto, CrowdStrike, and Cisco Approach AI Agent Security (And What They Miss)” — analyst-friendly comparison

Technical content (weeks 4-8)

• “Runtime Behavioral Monitoring for AI Agents: How Quint Works” — technical depth
• “MCP Security: Why the Model Context Protocol Is Your Biggest Blind Spot” — targets emerging MCP security searches
• “Shadow AI Agents: What Your Security Team Cannot See” — targets the shadow AI angle every vendor is pushing

Analyst outreach (parallel)

• Brief Gartner analysts covering the Hype Cycle for Agentic AI (Rajesh Kandaswamy, Leinar Ramos)
• Brief Forrester analysts on the AEGIS framework alignment
• Submit for Gartner Cool Vendors consideration (if still accepting nominations for 2026)
• Pitch IDC for inclusion in AI governance MarketScape or a standalone agentic AI security assessment

Conference presence

• RSA 2027 Early Stage Expo or Innovation Sandbox
• Target Gartner Security & Risk Management Summit for analyst meetings

Backlink strategy

• Contribute to OWASP Agentic AI security guidance (already published)
• Guest posts on CSO Online, Dark Reading, The New Stack
• Bessemer/a16z/Ballistic AI security landscape inclusion (BVP already published their thesis — get on the next version)