Observed Signal · Mar 23, 2026 · Product Launch · Source: https://martechseries.com/feed/ · Impact: 3/5 · Sentiment: Positive
Zenity Launches Continuous Contextual Security for AI Agents
Zenity announced a new continuous, contextual security capability for enterprise AI agents that the company says unifies posture, runtime behavior and threat signals into a real-time view of evolving risk. The release introduces features such as a stateful threat engine that analyzes full interaction chains, real-time event-driven ingestion to replace periodic posture scans, and an Issues Correlation Agent to connect posture, runtime activity and environmental signals into unified risk objects. Zenity positions the capability as foundational for so-called 'Guardian Agents' and cites Gartner’s characterization of Guardian Agents as the next evolution in AI governance from passive monitoring to active, real‑time protection.
Introduces real-time, stateful security capabilities for agentic AI that could affect enterprise AI governance and risk management practices, laying groundwork for Guardian Agents.
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Key Takeaways & Evidence Grounding
- Zenity announced continuous, contextual security for enterprise AI agents.
- The offering combines posture, runtime behavior and threat signals into a real-time risk model.
- Product features include a stateful threat engine, real-time event-driven ingestion, and an Issues Correlation Agent.
- Zenity frames the release as foundational for 'Guardian Agents' and cites Gartner on the concept.
Connected Companies & Entities
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Zenity Labs: Attackers Weaponize Enterprise AI Infrastructure
Zenity Labs published research showing threat actors are actively exploiting vulnerabilities in enterprise AI infrastructure—particularly LiteLLM gateways—to hijack LLM endpoints, run offensive operations, and steal AI compute. Sensors across Zenity’s global AI threat network recorded thousands of real-world attack attempts, including same-day exploitation attempts against CVE-2026-40217 and campaigns targeting other LiteLLM flaws such as an admin-endpoint issue (CVE-2026-35029) patched by BerriAI and a novel SSRF variant related to CVE-2024-6587. Observed attacker behaviors included deploying autonomous pentesting tools (Strix) against live targets, routing multi-agent enterprise workflows through exposed infrastructure, and unintentionally exposing development artifacts via OpenAI’s Codex. Zenity’s co-founder and CTO Michael Bargury said the research reveals attacker TTPs and rapid exploitation timelines, and the company plans to publish additional findings.
Zenity Labs Reveals 'AgentForger' ChatGPT Vulnerability
Zenity Labs disclosed 'AgentForger,' a critical vulnerability in OpenAI's ChatGPT Workspace Agents that let attackers inject a malicious autonomous agent via a single phishing ChatGPT link. The forged agent could be created in the name of a clicked employee, inherit that employee's enterprise connectors (email, calendar, cloud storage, Slack/Teams) and existing authorizations without showing an OAuth consent screen, and be scheduled to repeatedly exfiltrate files, harvest credentials and MFA tokens, impersonate users, and persist inside the organization. Zenity Labs reported the issue to OpenAI via Bugcrowd on 2026-06-04; OpenAI acknowledged the report within a day and removed the vulnerable URL parameter within four days, patching the flaw before public disclosure. Zenity framed AgentForger as an evolution of CSRF and a new class of attacker-created, agentic insiders; exploitation in the wild is unknown.
a16z Leads Seed Round in Neo Agentic Endpoint Security
Andreessen Horowitz (a16z) announced it led the Seed round for Neo, a startup building endpoint security specifically designed for a new era of AI agents running on user devices. The newsletter argues endpoint security has entered a third generation: from antivirus to EDR, and now to agent-aware controls that can distinguish human actions from autonomous AI agents. The article states incumbents (EDR, DLP, Zero Trust) are ill-suited to attribute intent or enforce guardrails for agentic software, and positions Neo as architected to answer execution-time questions about whether an action was initiated by a verified human or an AI agent and whether appropriate guardrails are in place. Neo’s founders are Nick Warner, Shlomi Salem, and Eran Shirazi, each with senior security or startup backgrounds.
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