Implement a new security program initiative in an afternoon.

The problem

Shadow AI is the new shadow IT, only the blast radius is bigger. Teams are handing sensitive data, code execution, and system access to Claude, ChatGPT, Copilot, Gemini, custom MCP servers, and internal agents. Most are unsanctioned. Traditional EDR generates no telemetry for any of them.

Map every AI tool and agent in use through OAuth grants, mail headers, and network traffic. Attribute usage to people and teams.

Acceptable-use policies per tool, team, and data class. We sync to provider admin consoles and block sensitive data from reaching unapproved tools.

Pull flow logs from MCP and agent endpoints (Claude Code, Codex, Copilot). Conversation-level visibility, correlated to your other telemetry.

Same coverage for the agents you build yourself: custom MCP servers, CI/CD agents, in-app copilots.

The problem

Phishing kits and dark web credential dumps are the top initial access vector in real breaches. Once an attacker holds a valid login, they blend into normal identity traffic across Okta, Entra ID, Google Workspace, and the IdPs you actually run, then pivot through EDR, email, and cloud. Point solutions miss compromises that span them.

Cross-source signal across IdP, EDR, email, cloud, and dark web credential feeds to build a unified identity risk picture.

Per-user behavioral baselines. Deviations get flagged in context, not as generic threshold alerts.

Phishing-driven account takeover, leaked-credential reuse, privilege escalation, lateral movement, impossible travel, and session anomaly analysis as standard coverage.

When compromise is confirmed, we execute IAM and EDR containment actions inside your existing tooling.

The problem

CSPM tools catch misconfigurations. They do not catch active threats. Cloud attack paths run through IAM, runtime workloads, and the control plane, not just the configuration snapshot. Multi-cloud teams stitch this together by hand.

Runtime detection on workload behavior, not just configuration snapshots.

IAM deep analysis: map effective permissions, surface over-provisioned roles, flag lateral movement paths.

AWS, Azure, GCP coverage with normalized alerting and a single investigation workflow.

Tie posture findings to active control-plane behavior so attack paths become actionable, not theoretical.

The problem

The biggest problem in security operations is not sophisticated attacks, it is noise. Insider threat programs are usually first to get cut because they sit on top of generic detection rules and produce alerts no one acts on. Real insider risk hides in identity, endpoint, and SaaS context together.

Behavioral anomaly detection across authentication, data access, and SaaS usage patterns.

Identity timelines fused with EDR, email, and cloud signal in a single investigation queue.

Per-environment runbooks for high-signal scenarios: data exfiltration, off-hours admin behavior, anomalous SaaS access.

Transparent containment with a documented chain of evidence ready for HR, legal, and counsel.