AI Multi-Agent Chain Security That Stops Cascade Attacks
Secure multi-agent environments where AI systems communicate, share data, and trigger each other. Detect chain-based exploits before one compromised agent takes down everything connected to it.
Close the SaaS Security Gap with complete visibility into your ecosystem. The average enterprise uses +500 SaaS applications, with 90% remaining unmanaged. Traditional security can't keep up. Reco's Dynamic Application Discovery does.
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The Cascade Risk Problem
When One Agent Falls, the Entire Chain Goes Down.
Modern environments run multiple AI agents that talk to each other, share state, and trigger workflows across applications. One compromised agent doesn't just fail. It becomes a pivot point into every system it touches.
Agents Connected to Everything
A single AI agent often has access to 10+ business applications. CRM, email, storage, code repos. Compromise one agent, access them all. The blast radius is total.
Chain-Based Exploits Move Laterally
Attackers don't stop at the first agent. They use it to reach the next one, then the next. Each hop expands access. Point solutions watching individual apps miss the chain entirely.
Shared State Creates Shared Risk
Agents pass data, credentials, and context to each other. Poison one agent's state, and the corruption flows downstream. Dependencies become attack paths.
No Visibility Into Agent-to-Agent Communication
You monitor human activity. Do you monitor how agents interact with each other? Most organizations have no visibility into what agents tell each other or what they share.
Cascade Failures Happen at Machine Speed
When an agent chain fails or gets exploited, it happens faster than humans can respond. By the time you notice, the damage has propagated through every connected system.
READY TO SECURE YOUR MULTI-AGENT ENVIRONMENT?
See how Reco maps agent chains and detects lateral movement before cascades happen.
Before we got Reco we didn't know how bad the problem was. And now with Reco, I see how bad the problem is, and how we have to stem the tide. Because every day I am literally having to figure out if I'm sanctioning this project, this application or not sanctioning it. And I'm doing probably 15-20 a day.
That's a huge differentiator compared to the rest of the players in the space. And because most of the time when you ask for integrations, they'll say we'll add it to our roadmap, maybe next year, whereas Reco is very adaptable. They're very agile.
With other SaaS security solutions, I checked their integrations page, but it’s as if time stood still. With Reco they add new integrations quickly, including integrations we have requested.
Single agents are manageable. Agent chains multiply risk exponentially.
• Each agent adds permissions and access to the chain
• Shared state means shared vulnerabilities
• Lateral movement paths multiply with each connection
• Attackers can pivot through the chain faster than defenders can respond
• One compromised agent inherits the trust of every agent it connects to
The GTG-1002 attack proved this. An AI agent moved laterally across 30 targets, using each compromise to reach the next. Point solutions watching individual apps saw nothing.
A chain-based exploit uses one compromised system to attack the next in sequence.
In multi-agent environments, this means compromising Agent A to access Agent B, then using Agent B to reach Agent C, and so on. Each hop expands the attacker's reach while appearing as legitimate agent-to-agent communication.
Blast radius = every system that agent can reach, directly or through chains.
A typical agent has access to 10+ applications. If that agent connects to other agents, the blast radius expands to include everything those agents can access. One compromised agent in a well-connected chain can expose your entire SaaS ecosystem.
Reco calculates blast radius automatically so you know your actual exposure.
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