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The Six Trust Checkpoints
Modern businesses run on interconnected identity, endpoints, applications, and data. Vendors cluster around six fundamental checkpoints:
| Checkpoint | Protects Against | Key Players |
|---|---|---|
| Identity | Compromised credentials, privileged access abuse | Microsoft, Okta, CyberArk |
| Endpoint & Devices | Malware, malicious execution on laptops/servers/cloud | CrowdStrike, SentinelOne |
| Network & Edge | Untrusted connections (Zero Trust) | Palo Alto Networks, Cisco, Cloudflare |
| Applications | Vulnerable code, APIs, open-source supply chains | GitHub, Snyk |
| Data Security | Exposed sensitive data, ransomware | Cyera, Rubrik |
| SecOps | Slow detection/response across all of the above | Splunk, Microsoft Sentinel, Mandiant |
The Spending Paradox
Global security spending exceeds $240B a year, and breaches are still rising. The reason: the attack surface (new cloud services, software releases, connected devices) grows faster than defensive budgets. Most breaches aren't one dramatic exploit — they're a chain of small oversights: unpatched software, forgotten service accounts, excessive permissions, unmonitored lateral movement. "Defense in depth" exists to stop one missed update from becoming an enterprise-wide crisis.
How AI Is Rewriting Security
AI's impact is asymmetric. It lowers the skill floor for novice attackers — realistic phishing, debugged exploit code — while dramatically raising the productivity ceiling for advanced threat actors. On defense, AI agents now automate alert triage, summarize incidents, and scan codebases for bugs before adversaries find them. The bottleneck is shifting from finding vulnerabilities to triaging and patching them fast enough.
AI Agents: A New Attack Surface
AI agents are no longer passive interfaces — they hold credentials, call APIs, and execute actions on a company's behalf. That makes them a brand-new class of non-human identity, and traditional identity tools weren't built to evaluate whether an agent carrying legitimate credentials has been manipulated. Indirect prompt injection — hidden instructions buried in an incoming document or email — can hijack an agent's execution path toward unauthorized data access or system changes. Building guardrails for agentic AI is one of the largest open opportunities in the field right now.
Before You Choose a Security Stack
- Which of the six checkpoints are you actually covering today — and which are gaps?
- Are you managing point solutions or a consolidated platform? What's the coverage cost of the gaps between them?
- Do any AI agents in your environment hold real credentials or execute real actions? Who owns their security?
- What's your plan for indirect prompt injection — untrusted content reaching an agent with tool access?
- Who correlates telemetry across checkpoints when something looks wrong (your SecOps layer)?
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