Zenity Highlighted in Gartner Emerging Market Quadrant for AI Security
                     CYBERSECURITY INDUSTRY 
BRIEFING
API DATA
Zenity Highlighted in
Gartner Emerging Market SECUREAUTONOMY
Quadrant for AI Security AI
APPS
IDENTITY
Zenity recognized as a Market Shaper in Gartner's 
Emerging Market Quadrant for AI Application Security, 
Startup Vendors.
TOOLS
POLICY
AI agent security • runtime governance • non-human identity
SOC News — Cybersecurity & Security Operations ZENITY • AI SECURITY
RECOGNITION
02
Zenity Recognized as a Market Shaper
• Zenity has been named a Market Shaper in Gartner's 
Emerging Market Quadrant for AI Application Security, Startup EMERGING MARKET
Vendors.
• The recognition focuses on emerging approaches to AI AI Application Security
application security.
• Zenity provides an AI agent security platform for enterprise 
environments.
D
• The platform helps security teams govern autonomous SECURITY C
workflows and secure non-human identities. SCOPE
• It is designed to help organizations manage risks created by B
increasingly autonomous AI systems.
A
ZENITY
EMERGING APPROACHES
Illustrative visual only — not Gartner's copyrighted graphic.
ZENITY • AI SECURITY
RISK LANDSCAPE
03
Why AI Agents Create New Security Risks
Autonomous agents can move from receiving information to taking real-time actions across enterprise systems.
ENTERPRISE APIs
APPS
Real-time actions Permissions can expand
AI
AGENT
CODEBASES DATABASES
Can interact with code Broad access can raise risk
STATIC CREDENTIALS TRADITIONAL APP SECURITY
Key messageAI security must address not only what an agent receives as input, but also what the agent is allowed to do.
ZENITY • AI SECURITY
IDENTITY & CONTROL
04
Managing Non-Human Identity Risks
AI agents and automated workflows introduce identities that need continuous security context.
AI AGENT IDENTITY PERMISSIONS TOOL EXECUTION MONITORING ENFORCEMENT
Autonomous actor Who is acting? What can it access? What did it do? What changed? Allow / block
• Connect agent behavior, identity context, and tool execution as security 
signals. CONTINUOUS CONTEXT
• Continuously monitor agent activity instead of relying on one-time 
authentication. Identity + behavior + 
execution
• Use policies to identify anomalous behavior and over-privileged actions. A security signal is stronger when these 
dimensions are connected.
• Detect and block rogue or potentially harmful software agents.
ZENITY • AI SECURITY
RUNTIME GOVERNANCE
05
Continuous Governance for Autonomous AI
Zenity's approach centers security visibility, runtime controls, and policy enforcement across connected AI 
environments.
Microsoft 365 Salesforce
Copilot AI SECURITY Agentforce
GOVERNANCE
Visibility • runtime controls • policy enforcement
Claude ServiceNow
Enterprise AI environment
Centralize security policies across connected AI environments while supporting continued use of 
autonomous workflows.
ZENITY • AI SECURITY
LIFECYCLE
06
Securing the Full AI Agent Lifecycle
TRADITIONAL AI SECURITY Agentic AI Security
• Focuses heavily on inputs • Monitors agent behavior
• Prompt-level protection • Governs non-human identities
• Static application vulnerabilities • Controls tool execution
• Applies runtime policies
• Detects anomalous actions
• Protects enterprise data and systems
Chatbots AI Copilots Autonomous Continuous Runtime
AI Agents Governance
As organizations move toward autonomous workflows, security controls must extend to the actions AI agents 
perform.
ZENITY • AI SECURITY
SOURCES
07
Sources & Related Resources
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Full Article https://soc-news.com/zenity-highlighted-in-gartner-emerging-market-quadrant/?utm_source=gemini
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Related News — GeoComply https://soc-news.com/geocomply-launches-deviceguard-fraud-detection/
DeviceGuard
PRESENTATION SOURCE SOC News — Cybersecurity and Security Operations News
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ZENITY • AI SECURITY