Tuskira Launches Kairo — AI-Driven Breach Modeling That Shows Defenders Exactly Where Attackers Will Go Before They Get There
Security teams today have more findings, more controls, more alerts, and more detections than ever before — and yet they still cannot reliably answer the question that matters most: which breach paths in their actual environment remain open right now? Tuskira, the Full-Stack Agentic SecOps platform, has launched Kairo — an AI-driven breach modeling capability that changes that equation fundamentally. By building a live digital twin of the customer environment and continuously simulating the paths an attacker could actually take, Kairo gives security teams the one thing they have been missing: a clear, continuously updated map of which kill chains remain exploitable, which are blocked, and exactly where to break the chain.
The launch of Kairo arrives at a moment when the gap between how fast AI can discover and weaponise vulnerabilities and how fast defenders can respond has become the defining challenge in enterprise security. Frontier AI models have demonstrated the ability to autonomously identify thousands of zero-day vulnerabilities and generate working exploits — compressing what used to take months into a matter of weeks. Kairo is Tuskira's direct response to that shift: breach modeling that operates at the speed of the threat.
"Security teams have findings, controls, alerts, and detections, but they still struggle to see which breach paths remain open across the environment. Kairo changes that. It's breach modeling all kinds of paths attackers can actually use, and helps disrupt the chain."
— Piyush Sharrma, CEO & Co-Founder, Tuskira
The Problem Kairo Solves — The Visibility Gap That Findings Alone Cannot Close
Every enterprise security team today operates with the same structural contradiction: they have more vulnerability scanner output, more SIEM alerts, more detection tooling, and more security controls than at any previous point in history — and yet they cannot tell with confidence which attack paths in their live environment remain open and exploitable right now. The problem is not a lack of findings. It is a lack of the connected, contextual understanding needed to distinguish findings that represent real, reachable risk from the overwhelming majority that do not.
In Tuskira deployments, Kairo has deprioritised up to 99% of scanner findings as unreachable — meaning that the vast majority of what traditional vulnerability scanners report as risk is in fact either blocked by existing controls, unreachable in the actual network topology, or not part of any viable attack chain to a crown-jewel asset. Kairo recomputes path maps in minutes as environments change, focusing security and investigation effort on the smaller set of paths that remain exploitable, insufficiently detected, or insufficiently controlled.
This shift — from managing findings to understanding paths — is the core insight that Kairo operationalises. Rather than asking "what vulnerabilities exist?", Kairo asks "which of those vulnerabilities form a viable path to something that matters, and can an attacker actually get there given our current controls?"
How Kairo Works — The Live Digital Twin and Continuous Simulation Engine
Kairo is built on Tuskira's security data mesh and digital twin technology — a live model of the customer's environment that is continuously updated as that environment changes. The digital twin ingests identity, cloud, workload, endpoint, network, exposure, and control data into a single unified model, then uses that model to simulate how an attacker would actually move through the environment. Five categories of breach path are continuously modelled:
Lateral movement paths across the environment once an attacker has established an initial foothold — mapped against network segmentation and EDR controls in the actual topology.
Paths that move between cloud environments or from on-premises into cloud infrastructure — validated against cloud controls, IAM policies, and security group configurations.
Identity-based attack paths that leverage credential compromise or misconfigured permissions to escalate privileges and reach cloud workloads or data assets.
Insider threat vectors and workload-to-data exfiltration paths — modelled against data governance controls, network policies, and SIEM detection coverage to identify where gaps exist.
For each simulated breach path, Kairo determines whether existing defences block or reduce the path — and where they do not, it identifies the highest-leverage control action that would break the chain. Actions are surfaced through the tools the security team already operates — firewalls, EDR, IAM, WAF, SIEM, and cloud controls — with analyst approval where policy requires. The result is a closed loop from path discovery to chain-breaking action, all within the security team's existing environment.
Why 2026 Is the Year Defenders Must Adapt — The AI Operations Shift
The urgency behind Kairo's launch is rooted in a specific and quantifiable shift in the threat landscape. Frontier AI models have demonstrated in controlled evaluations that a single model can autonomously identify more than 2,000 zero-day vulnerabilities and generate working exploits in seven weeks — roughly 30% of the world's annual zero-day output from one model. The key insight from this finding is not the volume of vulnerabilities. It is that discovery and exploitation are now happening in the same autonomous loop — compressing what used to be a weeks-long human-operated process into a continuous, machine-speed operation.
"2026 is the year attackers are moving from AI-assisted activity to AI-enabled operations, and defenders need to adapt. That's why we partnered with Tuskira."
— Charles Gifford, CISO, Intrado
Kairo Within the Full-Stack Tuskira Agentic SecOps Platform
Kairo is not a standalone product — it is a new capability within Tuskira's Full-Stack Agentic SecOps platform, which unifies business, security, exposure, identity, cloud, endpoint, network, and log context into a shared intelligence layer. Tuskira's AI agents reason across that unified context to detect breach paths, validate defences, investigate threats, optimise detections, and orchestrate response actions across the customer's existing security stack — without requiring data migration or centralisation of logs.
The platform's broader impact is captured in a striking Gartner finding from April 2026: "Data from Tuskira AI demonstrates that an AI agent can handle up to 2,000 security incidents per day — compared to 1,800 to 2,000 for a human analyst per year — freeing human experts to focus on edge cases and high-value anomalies." Kairo extends this model into the breach modeling domain — applying the same principle of AI-at-scale with human oversight to the specific challenge of knowing which attack paths are real and exploitable in a live enterprise environment.
Key Takeaways
Tuskira's Kairo is an AI-driven breach modeling capability that builds a live digital twin of the customer environment and continuously simulates breach paths — giving security teams a clear, real-time map of which kill chains to crown-jewel assets remain open, blocked, or insufficiently detected.
In production deployments, Kairo has deprioritised up to 99% of scanner findings as unreachable — shifting security effort from managing overwhelming vulnerability backlogs to focusing on the smaller set of paths that are actually exploitable in the live environment.
Kairo models five categories of breach path — east-west movement, cross-cloud pivots, identity-to-cloud escalation, insider activity, and workload-to-data paths — then surfaces the highest-leverage control action to break each chain through the security tools the team already operates.
Kairo is available immediately for existing Tuskira customers. New organisations can request a demo at tuskira.ai/demo and learn more at tuskira.ai/kairo.
Kairo represents a fundamental shift in how enterprise security teams understand and act on risk. The era of managing vulnerability findings in isolation is drawing to a close — replaced by a model where security teams know which paths through their specific environment remain open, which are blocked, and what single action would break the most dangerous chains. As AI-enabled adversaries compress the discovery-to-exploitation loop into a continuous, autonomous operation, defenders need the same capability on their side. That is what Kairo delivers.
To explore Kairo and the Tuskira Agentic SecOps platform, visit tuskira.ai.