Security, data, and red teaming for the labs building frontier models.
We partner with foundation-model teams on the three things that move safety forward fastest: better training data, multimodal red teaming, and high-fidelity environments for agent evaluation. Backed by years of adversarial signal collected across real deployments.
Safety & Alignment
Better data, sharper evals, faster iteration.
Red Team
Coverage across modalities and agentic surfaces.
Model Evals & Eng
Ground-truth environments and reproducible scenarios.
Three places we move the needle
Each offering ships independently, and they compound when used together — the data feeds the red teams, the red teams feed the environments, the environments feed the next round of training data.
Training data
Curated datasets of adversarial prompts, multimodal red-team conversations, and agentic trajectories — human-authored, synthetically generated, and field-collected from real deployments.
Safety & security data for SFT and RLHF
Red teaming
Expert-led and automated red teaming across text, image, audio, and video. Coverage of jailbreaks, prompt injection, data exfiltration, tool misuse, and emergent agentic behaviors.
Multimodal red teaming for models and agents
Agentic testing
High-fidelity simulated browsers, mock enterprise systems, and isolated agent harnesses. Benign and adversarial scenarios, designed to give your evals a real signal.
Simulated environments for agent evaluation
The substrate underneath all three
Years of adversarial signal, collected from real deployments.
Everything we ship sits on top of a continuously growing corpus of real-world adversarial behavior — jailbreaks, prompt injections, exfiltration attempts, tool-misuse traces, and emergent agent failures. It's why our data is sharper, our red teams find more, and our environments reproduce the cases that matter.
What you get
Concrete artifacts your teams can use the next day — not slideware.
- Annotated datasets ready for SFT and RLHF
- Reusable evaluation suites and scorecards
- Red-team engagement reports with severity-ranked findings
- Agent trajectories with ground-truth labels
- Replayable adversarial scenarios for regression
- Direct access to our research team
How we engage
Three shapes of partnership; mix to match how fast your model line moves.
One-shot engagement
Targeted red-team push, dataset delivery, or eval build for a specific launch.
Quarterly refresh
Updated data, new adversarial patterns, and an evolving eval suite that tracks your model line.
Continuous feed
A live stream of adversarial signal and managed coverage as you train and ship.
Why Cogensec
The substrate matters more than the SOW.
Most vendors hand you a static dataset and a slide deck. Here's what changes when the substrate is built and maintained by an active research lab — and what your team actually gets to keep at the end of an engagement.
Research-first lineage
We publish on multi-agent collusion, semantic inversion, and Agentegrity. Your engagement plugs into live research, not a frozen product roadmap — new failure modes show up in your data within weeks of being discovered.
NVIDIA Inception infrastructure
Inception membership backs us with GPU access at scale, which is how we run high-throughput adversarial simulation and multimodal corpus generation. You get coverage that headcount-bound vendors can't physically match.
Agentegrity in the open
Agentegrity is our open framework for structural integrity in autonomous AI — the same primitives we use internally. You can audit the substrate before signing, and your team can build on top of it after.
Genuinely multimodal coverage
Text, image, audio, video, and tool-use traces — under one methodology, not bolted on. Most vendors are text-only and pretend the rest will follow; ours is unified from day one.
Real-deployment data, not just synthetic
Field-collected adversarial signal from agents running in production — the rare prompts and tool sequences that synthetic generation misses. Closes the sim-to-real gap that breaks evals at launch.
Direct researcher access
You work with the people building the data, evals, and red-team plays — not a layer of account managers. Iteration cycles measured in days, not quarters.
What your team walks away with
Ship safer models, faster.
Tell us a bit about your model line and what you're stuck on — we'll come back with a scoped proposal within a week.