Claeth help

Claeth is an autonomous cybersecurity system built by Neuraphic that reasons about how systems fail, rather than matching patterns against a database of known vulnerabilities. Where traditional security tools report what is known to be vulnerable, Claeth constructs a contextual understanding of your specific system and then reasons about its actual failure modes. This means it can identify vulnerabilities that have never been catalogued, because it understands the principles by which systems break. Learn more on the Claeth product page.

Traditional security tools operate on pattern matching: they maintain databases of known vulnerabilities, compare behavior against signatures of known attacks, and flag deviations from predefined rules. This approach is reactive and can only find what it already knows about. Claeth takes a fundamentally different approach. It reads your code, traces data flow, considers your deployment environment and permissions model, and reasons about what an attacker would actually need to do to exploit a weakness. This contextual reasoning is generative, meaning it can identify novel vulnerabilities that no signature could capture.

Claeth ingests your repository and builds a dynamic representation of how components interact, what data flows between them, and what permissions govern access. It does not simply look up CVE numbers for your dependencies. It reads the code, understands the logic, and identifies conditions under which the system can fail, including vulnerabilities that arise from the interaction between code, configuration, environment, and permissions. A medium-severity library vulnerability might become critical in your specific deployment context, and Claeth can make that distinction.

Claeth is designed to operate continuously, re-evaluating its analysis as your system changes. Code changes with every deployment, dependencies are updated, configurations drift, and new attack techniques are published. Rather than running scheduled scans, Claeth monitors these changes in real time and surfaces new risks as they emerge. It constructs and maintains a dynamic model of your infrastructure from code, configuration, and runtime telemetry, keeping that model current as your system evolves.

One of the biggest problems in security operations is alert fatigue: scanners flag hundreds of vulnerabilities, and teams spend their time investigating issues that turn out to be irrelevant. Claeth addresses this through contextual prioritization. Instead of ranking vulnerabilities by generic severity scores, Claeth assesses actual exploitability in your specific environment, considering network configuration, permissions, deployment context, and attack prerequisites. A vulnerability requiring local access is not the same risk in an internet-facing service as it is behind a VPN. Duplicate and related findings are consolidated into a single actionable assessment.

Claeth is not a replacement for all existing security tools. Signature-based detection still has value for known threats. Firewalls, access controls, encryption, and secure development practices remain necessary. Claeth addresses a specific gap: the inability of current tools to reason contextually about complex, dynamic systems. It is additive, not substitutive. Claeth is also not infallible. AI systems make mistakes, hallucinate, and sometimes miss real risks or flag risks that do not exist. We are working to minimize these failure modes, but we are transparent that perfect accuracy is not a realistic goal.

The Full-Cycle Defense Loop is Claeth's end-to-end remediation workflow. When Claeth discovers a vulnerability, it does not just report it. It deploys a real-time trap through Prion shielding to block immediate exploitation, synthesizes a patch, verifies that patch in a shadow twin environment, and then submits a pull request for human approval. The cycle is: context mapping, real-time shielding and patch generation, shadow twin proof detonation, and verified pull request. No code ships to production without human review.

Shadow testing is what separates Claeth from tools that simply suggest fixes. When Claeth generates a patch for a discovered vulnerability, it spins up an ephemeral "shadow twin" of your infrastructure, launches the exploit against its own patch, and verifies both that the attack is blocked and that your existing tests continue to pass. This means Claeth does not just suggest a fix; it proves that the fix works before it opens a pull request. The shadow environment is isolated and destroyed after verification, ensuring no impact on production.

Every finding Claeth produces includes the full reasoning chain: what it found, why it is a risk in your specific context, the conditions required for exploitation, and the evidence supporting its assessment. This transparency is essential for trust. Security teams need to evaluate whether a finding is legitimate before acting on it, and they cannot do that with a severity score alone. Claeth provides the same depth of reasoning a skilled human analyst would include in a report, so your team can make informed decisions about how to respond.

Claeth is being designed to integrate with existing security operations workflows. This feature is currently in development. The goal is for Claeth's findings and alerts to feed into the tools your security team already uses, such as SIEM platforms, ticketing systems, and incident response workflows. Integration capabilities will be detailed as part of Claeth's production release. If you have specific integration requirements, contact support@neuraphic.com to discuss your use case.

Claeth is in active development and operates within restricted alpha cohorts. We do not offer a public beta. We partner exclusively with engineering teams handling significant scale, sovereign data, and critical infrastructure. If you operate at the boundary of scale and security and require an autonomous security analyst, you can request architectural review to join the cohort through the contact page. Include a description of your infrastructure, scale, and the security challenges you face.

Enterprise deployment requires deep integration with your infrastructure, and Claeth is being built with that requirement in mind. Deployment options are being developed to accommodate organizations with strict data residency, compliance, and air-gapped environment requirements. Enterprise customers in the alpha cohort receive dedicated engineering support and custom configuration. For enterprise inquiries, contact our sales team.

For technical questions, alpha access requests, or research collaboration, email support@neuraphic.com or visit the support center. For enterprise sales or partnership discussions, use the contact page. You can also follow development updates on the news page and research page.