ASSURANCE & SECURITY
As your organization moves work to AI, the line between "a system" and "how the company runs" fades. This is where our work usually starts: the evaluations, red-teaming, guardrails, and continuous observability that make an AI system reliable enough to bet on, and keep it that way as autonomy grows. Grounded in frontier alignment research, tuned to what your organization actually does.
WHAT WE DELIVER
Every engagement produces governance architecture specific to your risk surface, and it runs continuously as that surface changes. Data control keeps information where it belongs, and mature platforms handle it well. Behavior is the harder problem: proving the system does what you meant, and catching it when it drifts. That is the problem this layer solves, wherever your data lives. Engagements often begin right here: prove the system you have, fix what fails, and keep it proven as it changes. It stands on its own, and it extends into the full transformation whenever you are ready. Here's what it looks like in practice.
Behavioral test suites designed for your system's specific deployment context. What does your system do? What could go wrong? We build the evals that answer those questions before your users encounter them. Covers hallucination, instruction following, boundary adherence, and domain-specific failure modes. Updated as your system changes.
Adversarial testing against the failure modes your system is most exposed to. Prompt injection at every untrusted content ingress. Multi-turn escalation attacks. Social engineering probes. Tool-chain exploitation. We try to break your system the way a motivated adversary would, then fix what we find.
The operational controls that run in production alongside your system. Least-privilege tool scoping. Input filtering for injection. Output monitoring for fabrication and data leakage. Human-in-the-loop gates on irreversible actions. Per-call authorization. Configured to your system's specific risk surface and updated as autonomy changes.
Visibility across your people and your agents as work moves between them. Immutable, out-of-band logging with no model write access, the highest-leverage control against oversight tampering. Every tool call traced. Every recommendation auditable. Anomaly detection on behavior patterns. Designed to survive a hypothetical agent compromise.
Controls on what the system can see, say, and share. Citation requirements on every claim. Dual-artifact patterns (full output for leadership, sanitized output for broader teams). Privacy controls on data access. Role-based visibility. Anti-hallucination architecture built into the output format.
Multi-model review, output verification against source material, cross-checking, and regression testing across deployment cycles. Automated QC that catches degradation before it reaches users. Tracks whether the system's own recommendations led to the predicted outcomes.
Who can see what. Visibility scoped at the data level, not bolted on at query time. Per-user, per-role, and per-project access controls. Audit trails on every query. Designed so expanding the system's capabilities doesn't expand its access surface.
Governance runs continuously. As capabilities advance, the risk surface changes. We track developments in alignment research, update evaluations and guardrails accordingly, and re-assess your posture as it evolves. The governance layer stays current with what your systems can do.
HOW IT SCALES
The governance architecture scales with complexity and autonomy. A simple assistant calls for lighter controls; a multi-agent strategic system calls for the full surface. As more of your organization runs on agents, that full surface becomes the everyday operating reality. We scope the work to what your systems actually require.
Fabrication, injection, sycophancy. Standard eval suite and input filtering. Well-understood engineering.
Add scope violation risks. Least-privilege scoping and HITL gates are the highest-leverage interventions.
Add context degradation and selective disclosure. Monitoring for correlated failures that suggest a shared root cause.
Add inter-agent coordination risks. Competitive dynamics can degrade alignment even with explicit assurance instructions.
The full risk surface applies. This is where governance matters most and where our alignment research is most directly relevant.
THE RESEARCH
AE runs an active alignment research program alongside production client work. The research wins DARPA contracts and Anthropic partnerships. The findings go directly into the governance architecture we build for clients.
Representation-level alignment. Up to 97% reduction in deceptive responses.
Targeted capability removal without degrading general performance.
Self-monitoring: models that detect and resist misuse of their own capabilities.
Grant-funded alignment research sprints in partnership with frontier researchers.
Every capability advance changes the risk surface, and the governance architecture advances in step. AE tracks every major development in alignment research, updates the diagnostic framework, and feeds the findings into the systems we build and maintain. This is a standing practice that runs for as long as your systems do.
Talk to us about alignment