The Truth About Your Security: Why We Built Cymulate Vero AI

For decades, cybersecurity operated in fear of the next threat and in doubt about your ability to repel and recover from an attack. We sought insights to quell the fears, but too often those insights just produced anxiety from creating too many tasks that can never be fully completed. 

To bridge this gap from doubt to insights to decisive action, security teams need a compass that’s grounded in truth. That’s why we built Cymulate Vero AI. 

Cymulate customers told us they are drowning in disconnected data – with most teams using more than 40 security tools. Assessment results live in one tool, remediation tasks in another and validating whether fixes actually improve security often becomes a manual, time-consuming process.  

With Cymulate Vero AI, our goal was to create more than just an AI co-pilot for the market-leading Cymulate Platform. We wanted an intelligent system that could continuously validate and optimize security posture in a way that adapts to each organization’s unique environment. Vero AI brings together exposure data, workflows, controls and remediation efforts into a single agentic experience that understands an organization’s assets, industry, risks and objectives – helping teams focus on what matters most and move faster with confidence. 

Cymulate Vero AI Brings Truth to Agentic Cyber Defense Engineering 

Cymulate Vero AI is the new agentic AI system built into the Cymulate Platform to continuously prove, prioritize and adapt security to today’s threats and exposures. This is how you move from security validation to agentic cyber defense engineering. 

To get started, you need the truth. Vero comes from the Latin word for truth. That is not branding decoration. It is the design principle that governs every product decision. 

The core conviction: the only security insight worth acting on is one that has been validated in the customer's actual environment. Not scored against a generic database. Not correlated from threat feeds. Validated through simulation, against real controls, in production conditions. 

A Cognitive Engine to Drive Agents for Security Operations 

Vero AI gives Cymulate a cognitive engine that coordinates specialized agents to deliver on that conviction. It reasons about your environment, manages context across interactions, and routes intelligence to the right agent for the right task. 

As part of the Cymulate Platform, Cymulate Vero AI includes: 

• Threat intel agent => Analyze threat intel for what’s relevant to you 
• Attack scenario mapping agent => Identify attack scenarios for threats 
• Targeting agent => Identify the environment(s) to test 
• Assessment builder agent => Assemble assessment configuration 
• Reporting agent => Build & share dashboards & reports 

From Threat Intel to Autonomous Exposure Validation 

Cymulate with Vero AI saves hours of manual work to validate new threats and mobilize the right action that builds stronger defenses for that specific threat. 

Without Cymulate, imagine a scenario where a new threat campaign surfaces on Tuesday. Your threat intelligence team picks it up Wednesday morning. An analyst spends hours researching the TTPs, cross-referencing against your asset inventory and determining whether your environment is relevant. By Thursday, they start building a validation scenario. By Friday, maybe it runs. A week has passed. Attackers have been exploiting the campaign since Tuesday. 

With Cymulate and Vero AI, the same campaign surfaces on Tuesday. Vero AI agents evaluate it against your specific environment: your asset inventory, your control stack, your validated risk history and the patterns from your previous assessments. It selects the most relevant scenarios from the Cymulate attack library and surfaces a recommendation. Vero AI understands why this threat matters to you, what it could impact and the validation scenarios matched to your threat profile. It creates an assessment ready to launch. Your team reviews it, approves it and has a validated answer the same day. 

The interaction model is deliberate. Vero AI brings the intelligence to the user. The user decides whether to act on it. This is not automation for automation's sake. Security decisions carry real consequences, and the humans responsible for those decisions should retain control over them. What Vero AI eliminates is the dead time: the hours and days of manual research, relevance mapping, and scenario construction that separate a threat emerging from a team knowing whether their defenses hold against it. 

The reporting agent is also available for organizations already using Cymulate, translating validated results into stakeholder-appropriate dashboards: technical drill-downs for engineers, resilience trends for executives, compliance-ready views for audit. Same validated evidence, different lens for different roles. 

Today’s Demand for Agentic Cyber Defense Engineering 

Security leaders recognize both the need for proactive security and the opportunity of AI to build and operate preemptive security controls. Together, proactive security and AI give CISOs the flip the script on the typical board reports. 

CTEM moved from framework to mandate, and validation became its missing stage. Continuous Threat Exposure Management (CTEM) is the Gartner concept for teams break silos and implement proactive security. Today, 60% of organizations are actively pursuing or considering CTEM programs, up from 40% just two years ago. Gartner projects that organizations adopting CTEM will be three times less likely to suffer a breach.¹ But here is what most vendors gloss over: CTEM has five stages, and the one most organizations skip is validation. They scope, they discover, they prioritize, they mobilize. They rarely validate. 

The Gartner March 2026 Market Guide for Adversarial Exposure Validation explicitly calls validation the stage that “provides a filtering component for discovered issues” and “ratifies the authenticity of the issues and gauges their accessibility, reachability, and feasibility to the threat actors that might exploit them.”² Without it, CTEM is incomplete. 

By 2029, Gartner projects that 30% of organizations will link validation results directly to automated remediation workflows.² The direction is clear: validation is becoming the backbone of exposure management, not an optional add-on. 

AI reached the threshold for proactive security systems. Not chatbots that summarize alerts. Systems that can monitor a threat landscape, reason about relevance to a specific environment and surface actionable intelligence before a person asks for it. Gartner named Preemptive Cybersecurity a defining trend for 2026: systems that anticipate where adversaries will strike and enable organizations to act first.³ 

According to IBM's 2025 Cost of a Data Breach Report, organizations using AI extensively in security cut their breach lifecycle by 80 days and saved $1.9 million on average.⁴ The evidence that AI belongs in security operations is no longer theoretical. The question is what kind of AI, applied to what problem. 

Boards started demanding proof, not scores. CISOs in 2026 are under direct pressure from boards to translate security exposure into financial terms, expressing risk as realistic cost-of-breach scenarios rather than severity labels. A CISO standing in front of a board saying “our CVSS exposure decreased by 12%” is having a fundamentally weaker conversation than one who says “we validated that our top 15 threat scenarios are defended, and here are the three where we found and closed real gaps this quarter.” The second CISO has proof. The first has a number. 

Engineering Exposure-Informed Defenses 

The cybersecurity market is full of vendors that do one of these things competently: detect threats, assess exposure or guide remediation. What none of them do is connect those capabilities in a validation-first loop where every recommendation is grounded in proof from the customer's own environment and cyber defense control plane adapts controls for your specific exposures. That’s agentic cyber defense engineering. 

Consider how the current tools handle a new threat campaign. A threat intelligence platform tells you the campaign exists and which TTPs it uses. Your vulnerability scanner tells you which CVEs are present in your environment. Your SIEM tells you which detection rules are deployed. Three tools, three partial answers, zero proof that your defenses actually hold against the specific attack chain. The security team is left to stitch together a picture from fragments, manually assess relevance, and hope the pieces add up. 

With Vero AI, Cymulate replaces that patchwork with a single validated answer. It takes the threat, maps it to your environment, selects the most relevant validation scenarios from the Cymulate attack library based on your threat profile, and runs them against your actual controls. The result is specific, contextual, and proven. Not “you might be exposed.” Rather: “we ran the scenarios that match this attack chain against your environment, and here is exactly where your defenses held and where they did not.” 

And it works in both directions. Cymulate Vero AI proactively surfaces threats as they emerge, but users can also bring their own questions. Share a threat advisory link, ask about a specific MITRE technique or APT group, inquire about a particular security control, and Vero AI will evaluate relevance against your environment and tailor the best matching scenarios for validation. The intelligence flows both ways. 

That is not a feature comparison against other tools. It is a different category of answer. When I think about what CTEM was always meant to be, this is it: not a dashboard that shows a prioritized list of things that might be wrong, but an intelligent system that proves what is actually true in your environment and tells you what to do about it.  

Vero AI is available now as part of the Cymulate platform. Request a demo to see the Targeting Agent in action against the latest threat campaigns in your environment. 

References 

1. Gartner, Strategic Roadmap for Continuous Threat Exposure Management, 2025 
2. Gartner, Market Guide for Adversarial Exposure Validation, Dhivya Poole, Mitchell Schneider, Eric Ahlm, March 2026 (ID G00834008) 
3. Gartner, Top Cybersecurity Trends for 2026, February 2026 
4. IBM, Cost of a Data Breach Report, 2025 

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