OFFENSE
Continuously test whether your defenses actually hold - with governed AI that discovers, chains, and proves real exploit paths.
This video demonstrates how Regiment AI helps elevate continuous security validation. Watch how Regiment AI automates the penetration testing lifecycle through a rigorous multi-stage pipeline that ensures strict governance, capability validation, and robust evidence collection. Security leaders can deploy agents fully autonomously or retain human-in-the-loop oversight to safely execute targeted engagements across designated environments. The platform dynamically uncovers critical vulnerabilities—such as SQL injections, file inclusions, and exposed credentials - and proves every autonomous decision it makes to ensure absolute transparency.
Watch how Regiment AI transforms the modern SOC and defensive ops, with an autonomous agent designed to triage and resolve unknown SIEM alerts with speed and accuracy. The video demonstrate how Regiment AI dynamically analyzes threat intelligence, environmental context, and identity patterns, to investigate zero-day anomalies - such as suspicious outbound connections to C2 infrastructure - and proves every step of its logic. Ultimately, by generating custom automation recipes directly from these investigations, it empowers security leaders to effortlessly convert complex manual triage into deterministic, policy-driven workflows.
Regiment AI is Infopercept's governed AI security command platform. It unifies offensive security (AI pentesting), defensive operations, and compliance into one operating model, so every AI-driven action is bounded, approved, and auditable instead of running unsupervised. It's built by people who have worked the full attack lifecycle: red team, SOC, and compliance.
Neither. Regiment AI runs specialized agents — its three battalions — that reason, investigate, and act inside explicit rules of engagement. Simple, repeatable work runs deterministically. AI reasoning is reserved for ambiguous judgment calls: hunting exposure, modeling attack paths, decoding a novel vulnerability. High-consequence actions route to a human for approval before they execute.
Most enterprises don't have a tooling problem - they have an execution problem. Critical decisions cross too many systems, teams, and approval boundaries before risk becomes action, and evidence reconstruction for leadership or an audit is slow and costly. Regiment AI creates one accountable operating model across the estate you already own, without a rip-and-replace or an uncontrolled leap into agent autonomy.
Security teams that need continuous validation of their own defenses, consistent AI-assisted detection and response, and audit-ready compliance evidence - without handing an AI agent unrestricted autonomy over production systems.
It triages alerts, enriches detections, and summarizes cases using pre-built recipes. Every workflow is policy-gated, and high-risk actions require explicit human approval before they execute. An immutable audit log is written on every step.
It runs continuous, AI-driven penetration testing: discovering exposure, chaining attack paths, and validating real exploitability, rather than waiting for a scheduled pen test. Hard technical guardrails prevent out-of-scope reach, every offensive action needs sign-off from two authorized humans, and every finding ships with proof and business-impact context.
It continuously verifies controls against frameworks like SOC 2 and ISO 27001, and produces audit-ready evidence packages on demand — so compliance is a by-product of daily security work rather than a periodic scramble, with no ambiguity between what a control intends and what's actually in place.
Regiment AI's two remediation agents. Remedy X contains and fixes active threats and exploitable misconfigurations the moment they're confirmed. Remedy Y reverts risky code or configuration drift back to an approved baseline. Both act only inside pre-approved playbooks, and every fix is scoped, logged, and reversible - never silent.
Yes. Regiment AI operates inside your existing RBAC policies. An agent acting on behalf of a user cannot reach modules, data, or capabilities that user isn't already authorized to view.
Deterministic execution is the default for repeatable, well-understood tasks — playbooks, policy enforcement, machine-speed response. AI reasoning is reserved for the unknown: correlating signals, prioritizing exposure, chaining an exploit path. Once an AI-found pattern is validated, it's codified into deterministic automation, so the same pattern doesn't require AI reasoning the next time.
Regiment AI is in early access. Infopercept is onboarding select security teams ahead of general availability.
Early access is limited and we are keeping the first cohort small. Book a meeting to start the conversation, qualify and scope your deployment.
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