Inventory, red-team, and forecast system risk across every AI stack.
Context-aware red-teaming that maps tool graphs and generates multi-step exploits before every release.
Apply runtime controls derived from red-team findings while monitoring for poisoning and drift.
Inventory models, knowledge bases, MCPs, and agent pipelines while scanning for prompt injections, data leaks, etc.
Blueprints for internal, customer, creative, healthcare, legal, and insurance copilots.
Zero-leak guardrails plus IAM-aware policies keep Slack or HR copilots from leaking sensitive data.
Read-only repo mirrors, auto tests, and IP-safe corpora stop coding copilots from deleting prod or leaking logic.
Ground every support reply in approved KBs, log escalations, and hand off to humans when cases go off-script.
Lock creative models to approved templates, run watermark and deepfake checks, and enforce brand controls.
Automated fact-check passes and claim substantiation keep campaigns accurate and regulator-ready.
Tie clinical copilots to curated guidelines, PHI-safe guardrails, and HIPAA-ready audit trails.
Force citations from vetted research databases and log every draft for privilege and ethics reviews.
Bind underwriting and claims copilots to carrier-approved forms, licensing checks, and disclosure workflows.
Frontline writeups and benchmarks from the GA research team.
Deep dives on AI security and safety trends.
Compare public LLMs with public adversarial scoring.
Learn about our mission, red-team culture, and leadership.
Get to know our mission, red-team culture, and leadership.
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