Tuskira Launches AI Red Team Agent to Identify Exploitable Attack Paths

The autonomous cybersecurity system tests external exposure against internal architecture, security controls and existing risk data to help organizations separate reachable threats from scanner noise.

Security teams rarely lack vulnerability data. The harder problem is determining which weaknesses attackers can actually exploit.

Tuskira is targeting that gap with a new autonomous red teaming capability that evaluates an organization’s internet-facing attack surface and connects each finding to internal security context. The company says its Red Team Agent can identify reachable attack paths across cloud infrastructure, identities, endpoints, networks and on-premises systems.

The technology operates within a customer-approved scope and incorporates emerging attacker tactics, newly disclosed vulnerabilities and AI-assisted attack techniques. Instead of treating every exposed asset as an urgent threat, it checks findings against deployed defenses, application dependencies, infrastructure topology and risk signals collected from existing security products.

That context comes from Tuskira’s Security Data Fabric, which normalizes third-party security telemetry into a live digital representation of the enterprise. The system is designed to show whether controls such as firewalls, web application firewalls, endpoint detection tools and identity restrictions already interrupt a potential attack path.

“Every organization has a list of what's exposed. What they don't have is a trustworthy answer to whether an attacker can actually get in, and what already stands in the way,” said Piyush Sharma, CEO and co-founder of Tuskira. “Our Red Team Agent tests from the outside the way an attacker would, then checks that answer against everything the enterprise knows about itself: its architecture, its controls, and the risks its tools are already reporting. That is how we remove the noise, and it's why the fix is often a control change a team can make today instead of a patch that waits for the next maintenance window.”

The platform can recommend changes to controls an organization already owns, including firewall policies, WAF rules, identity and access management restrictions or endpoint security settings. It can then retest the environment to determine whether the change closed the attack path.

The release expands Tuskira’s agentic security portfolio. Kairo models cross-domain breach paths, Lattice evaluates which exposures are exploitable, Quell determines whether newly disclosed CVEs create reachable risks and Iris investigates alerts using asset, identity and potential blast-radius data.

Tuskira claims Kairo has classified as much as 99 percent of scanner findings in some deployments as unreachable. That figure is a company-reported result, but it illustrates the product’s central pitch: security teams should prioritize vulnerabilities based on validated attackability, not severity scores alone.