Resources

Make sense of compliance — and why proactive wins.

Short, practical explainers for non-technical teams. No jargon, no gatekeeping.

Guide

Proactive vs. reactive: why waiting is the expensive option

Reactive security means you learn about a gap when it's exploited — during a breach, a failed audit, or a ransomware event. By then you're paying for incident response, downtime, fines, and lost trust, all at once. Proactive security flips the order: you find and close the gap on your schedule, for a fraction of the cost. The math almost always favors knowing first. Sightline exists to make “knowing first” something any organization can do, not just the ones with a security team.

Perspective

AI is widening the gap between exposure and understanding

AI is accelerating both sides of the security equation. Attackers use it to find and exploit weaknesses faster and at greater scale. Defenders face a rising tide of new obligations — the EU AI Act, NIST's AI Risk Management Framework, and more. For organizations without a security team, the distance between what they're responsible for and what they understand grows every quarter. The answer isn't more dashboards built for experts. It's translation: turning technical risk into plain language a decision-maker can act on.

Framework explainers

The frameworks, in plain English

NIST CSF 2.0

The voluntary backbone for managing cyber risk across six functions: Govern, Identify, Protect, Detect, Respond, Recover. The spine everything else crosswalks to.

HIPAA

The Security Rule's technical safeguards for protecting electronic health information — encryption, access control, audit logging, and more.

SOC 2

The AICPA Trust Services Criteria your customers and investors ask about. Largely about logical access, monitoring, and operations.

FERPA

Protects student education records. A privacy and process law with few prescriptive technical controls — which is exactly why it's underserved.

GDPR

EU data-protection obligations, including the security-of-processing requirements that map to technical controls.

NIST AI RMF

A framework for managing the risks of AI systems — increasingly part of the obligations organizations have to track.

Ready to see your own posture?

Connect your tools and get a plain-English verdict across every framework you carry.