AI is being adopted faster than any technology in history — and attackers are adopting it just as fast. Frontier AI Security red-teams your models, agents, robots, and connected machines, and runs AI-led security operations so you can move fast without being exposed.
Frontier security is the practice of defending systems that think and act — frontier models, autonomous agents, and the pipelines around them — while using those same capabilities to defend. It is security built for the era when software writes itself, negotiates with other software, and takes actions no human ever reviewed.
AI systems no longer just answer — they browse, click, pay, and execute. Every autonomous action is an attack surface that did not exist a year ago.
Non-human identities — agents, copilots, pipelines — now outnumber people, and each one holds credentials that a single prompt injection can steer.
AI governance became an expectation, not a bonus: EU AI Act obligations, ISO 42001 audits, insurers asking about AI controls, boards asking what happens when the model is wrong.
From the first prompt to production scale — offensive testing, defensive architecture, and operations that fight AI with AI.
Adversarial testing for LLMs, agents, and RAG pipelines. Prompt injection, jailbreaks, data exfiltration, and tool abuse — found and fixed before attackers find them.
Threat models, guardrails, and governance for teams shipping AI products. From model selection and data boundaries to production monitoring and incident response.
Security operations that keep pace with machine-speed threats. Agentic AI triage, detection, and response — with humans in command and auditable decisions.
A humanoid robot is cloud-connected AI with hands, cameras, and force — a computer that can physically act on the world. Every sensor, model, and update path is an attack surface.
Safety inverters, force limits, geofences, and emergency stops are all software. An attacker who reaches the control model or fleet server can turn a helper into a hazard.
Cameras, microphones, and depth sensors can be blinded or adversarially perturbed. Whoever misleads perception controls what the robot believes — and where its hands go.
OTA update pipelines, cloud dashboards, and third-party skill stores: one weak vendor link pushes an exploit onto every unit in the field overnight.
Robots see inside homes, hospitals, and factories. Always-on sensors make them the richest data-harvesting target yet — and a privacy liability for their owners.
The frontier doesn't stop at the data center. It runs through factories, energy grids, pipelines, and ports — thousands of sensors and controllers that AI now reaches into. When IT and OT share a network, a phish in the office can reach the machines that grind, heat, and pressurize.
AI and cloud platforms pulled plant floors onto IP networks. A single phish that lands in corporate IT can now reach PLCs, SCADA, and physical processes.
Controllers run for decades on firmware that will never see an update. Segment, monitor, and compensate — because "just patch it" isn't an option.
Debug ports, stolen devices, and side channels ignore your network diagram. Hardware-tested beats paper-assured.
Thousands of devices, one update server. Signed firmware, device identity, and zero-trust segmentation keep one bad node from becoming a grid event.
If you touch Controlled Unclassified Information — and in 2026 that includes AI programs — NIST SP 800-171 is not optional reading. It is the contract requirement behind DFARS 252.204-7012, and CMMC Level 2 turns it into a third-party certification for everyone in the defense supply chain.
Handling CUI in nonfederal systems triggers 800-171 obligations, and CMMC Level 2 requires certified third-party assessment — the gate to DoD contracts, enforced in awards now.
The 2024 revision consolidated 110 controls into 97 requirements aligned with NIST 800-53. Older Rev 2 self-scores no longer tell you where you actually stand.
Training datasets, model weights, eval results, and prompts for defense programs are CUI too. AI pipelines are the newest, least-mapped CUI estate in most organizations.
Assessors test evidence, not intentions — and point-in-time compliance decays fast. Continuous evidence collection beats the annual scramble every time.
Most AI security stops at the prompt. We follow the technology all the way out — to the robots that act on the world and the factory floors they run on. One practice, covering the whole frontier.
Security built for agents, LLMs, and autonomous pipelines — not legacy checklists retrofitted with AI vocabulary.
Everything we defend, we have first tried to break. Our red-team findings feed directly into your guardrails and runbooks.
We don't just protect AI — we use it. Detection, triage, and response augmented by AI so your security scales with your product.
Tell us what you're building — models, agents, robots, or the floor they run on. We'll show you where it breaks.
Typical first response within one business day. Confidential, always.