Preventing AI‑orchestrated cyberattacks with behavior‑based governance

Rampart-AI vs. AI-Enabled Cyber Attacks: Stopping emerging Agentic AI threats, Prompt Injection, and Machine-Speed Exploits.

The age of AI‑orchestrated cyber‑espionage is here. The first publicly reported cyber‑espionage campaign was disclosed by Anthropic, the makers of Claude.

The disclosure highlighted how adversaries are moving from human‑led operations to agentic, AI‑driven attacks that discover, craft, and execute exploits at machine speed.

The disclosure this month was a call to action for all businesses, a warning of the ease of attacks to come if not addressed now.

"The threat actor, whom we assess with high confidence was a Chinese state-sponsored group, manipulated our Claude Code tool into attempting infiltration into roughly thirty global targets and succeeded in a small number of cases," Anthropic reported.

The targeted attacks were happening at hyper-human speeds, reported by Anthropic to be "thousands of requests, often multiple per second," a staggering number for any modern system to ward off with traditional tools.

The way this attack was accomplished is something many, like Rampart-AI, have been raising the alarm over, as AI has become widespread.

"At this point they had to convince Claude, which is extensively trained to avoid harmful behaviors, to engage in the attack. They did so by jailbreaking it, effectively tricking it to bypass its guardrails. They broke down their attacks into small, seemingly innocent tasks that Claude would execute without being provided the full context of their malicious purpose. They also told Claude that it was an employee of a legitimate cybersecurity firm, and was being used in defensive testing," Anthropic reported.

If this scares you, you are not alone. The single most important defensive change to adopt now is real-time behavioral monitoring; continuous, semantic observation of systems and agents that verify they are operating as designed at runtime.

At Rampart-AI, we have developed a cyber-range to validate that a behavior-based approach can protect against these emerging AI threats. This is critical since the ability to stay ahead requires the ability to emulate and then validate that these types of threats can be neutralized.

The Rampart-AI cyber range leverages emulated threats that cover zero-day, supply chain attack, CI/CD pipeline, Prompt injection, and Model Context Protocol (MCP) attacks. 

How Rampart‑AI Enables Real-Time Protection

Rampart‑AI’s platform is built around a behavior‑first approach:

• Semantic behavior models represent agent orchestration, API intent, and multi‑stage attack choreography.

• Proven supply‑chain detection derived from years of research in provenance, dependency manipulation, and artifact integrity.

• Runtime guardians that validate service contracts, detect emergent deviations, and provide tamper‑evident evidence for every alert.

• Human-centric workflows that bundle each alert with evidence, confidence, and suggested containment actions to accelerate analyst decisions.

• Interoperability: Rampart exports structured alerts to SIEM/SOAR and integrates into CI/CD pipelines for closed‑loop security.

  
  

These capabilities produce measurable improvements in MTTD/MTTC and reduce dependence on stale IOCs. Rampart‑AI is positioned to help organizations operationalize real-time monitoring at scale and defend against agentic AI adversaries today.

The Anthropic report marks a turning point: adversaries are beginning to operationalize agentic, AI‑orchestrated campaigns that operate faster and more creatively than human teams alone. The defensive response must be equal in speed and semantic depth. Real-time behavioral monitoring, continuous, semantically aware, cross‑telemetry observation with automated containment and human governance, is the single most important change organizations can make now. Rampart‑AI’s behavior-based platform turns this imperative into a deployable capability that stands ready to help industry harden systems against the next wave of AI‑enabled threats.

To review further ways in which Rampart-AI protects your systems, read the full report here: Disrupting AI Orchestrated Cyberattacks with Rampart-AI

Calls to Action that Rampart-AI can help you achieve:

• For CISOs and CIOs: Prioritize real-time behavioral monitoring as a top security investment. Treat runtime attestation and continuous verification as non‑negotiable for critical services and AI agents.

• For Dev/Sec teams: Integrate AI‑assisted security checks into CI/CD, require signed provenance for third‑party components, and publish behavioral contracts for your services.

• For vendors and cloud providers: Expose richer, tamper‑evident telemetry and contract attestation APIs to enable effective cross‑tenant monitoring.

• For the industry: Create anonymized sharing frameworks for behavioral TTPs (not just IOCs) so defenders can rapidly learn and adapt.

  
  

Read more on this topic:

Anthropic’s Disclosure Missed the Real Point

The Attack Didn’t Succeed Because AI Got Smarter;

It Succeeded Because No One Was Watching the Agent