What separates winners from casualties:

→ Deploy thoughtfully, not fastest
→ Governance before scale
→ Measure failure rates honestly
→ Security as architecture

Full analysis: thecontrollayer.arkava.ai

#AI #Enterprise #AIGovernance #AgenticAI #TechStrategy

Regulatory fragmentation is accelerating:

EU: comprehensive AI Act, bans from Feb 2025
UK: light touch, frontier models only
US: executive orders, agency guidelines

No global standard. Arbitrage opportunities emerging.

The security gap nobody's addressing:

23.77M secrets leaked through AI systems in 2024 (up 25%).

New attack surfaces: agent-to-agent prompt injection, credential leakage, autonomous actions without oversight.

Traditional frameworks weren't built for this.

Carnegie Mellon: agents fail 70% in production.

Stanford/Harvard: "impressive in demos, fall apart in real use."

Yet enterprise adoption accelerated anyway:
- Salesforce Agentforce: 18,500 customers
- $540M ARR
- 3B workflows/month

Inflection point: Anthropic's Model Context Protocol (Dec 2024).

First standardised way to connect LLMs to external tools.

Agents could finally DO things, not just generate text.

Then came the reality check...

😂 thanks for the substantive response.. 👏🏽

Exactly right. Your security posture is only as strong as your least resilient supplier. The uncomfortable truth is most organisations couldn't name their vendors' vendors, let alone assess their security.