97% of Companies Are Flying Blind on AI Agent Security (Here's How to Fix It)

The AI Oversight Gap Is Killing Companies

IBM's report highlights a terrifying statistic: 13% of organizations reported a breach of an AI model or application. Of those, 97% lacked proper AI access controls. This is the AI oversight gap. Your teams are shipping computer using AI into production faster than security teams can keep up. The result is predictable chaos. Attackers are exploiting unmonitored agents to move laterally, steal credentials, and exfiltrate data. The gap is not going to close itself. You have to build security into your agents from day one, not bolt it on after something goes wrong.

1. Isolate Every Agent in Its Own Environment

• ●Run agents on dedicated cloud VMs or sandboxes, never directly on production desktops
• ●Use network segmentation to prevent agents from reaching sensitive databases or internal APIs
• ●Never give a single agent permission to touch multiple critical systems
• ●Companies using security automation and AI save more than $3 million per data breach because they catch incidents early

2. Stop Prompt Injection at the Source

Every webpage an agent visits is a potential attack surface for prompt injection. Anthropic's research shows a single injection payload on a webpage can trick Claude Computer Use into downloading malicious files. Visual prompt injection attacks are even more dangerous. The VPI-Bench benchmark revealed 306 test cases across major platforms where agents could be tricked into executing unsafe commands. You cannot rely on an LLM to spot a forged URL or a malicious form field. You need explicit guards. Verify every URL before the agent follows it. Check form inputs against known attack patterns. Log every action an agent takes on the web.

3. Treat Agents Like Non-Human Identities with Full Access Control

Agents need credentials, SSH keys, and API tokens just like people do. But they do not need the same privileges. The best practice is to assign agents the least permission required to accomplish their tasks. Use role-based access control to restrict what each agent can read, write, and execute. Monitor all non-human identity activity in real time. If an agent suddenly tries to access a sensitive database or delete a production file, trigger an alert. IBM's report notes that organizations with strong AI access controls see significantly shorter breach durations. That is not a coincidence. Control is the only thing that matters when something goes sideways.

4. Watch Your Agent Swarms Like Hawks

Agent swarms are powerful but they are a security nightmare. One compromised swarm member can pivot to other members, creating a domino effect. Palo Alto Networks' Unit 42 report warns that enterprise AI creates a new class of risk: living off the AI land. Attackers can use AI to perfect phishing campaigns and scale social engineering attacks. Keep swarm configurations simple. Minimize the number of agents that can communicate with each other. Audit swarm activity constantly. If you run parallel agent teams against thousands of targets, you are exponentially increasing your attack surface. That is fine if you know what you are doing. It is suicidal if you do not.

5. Learn From the Failures Others Are Already Paying For

Cyera's research on agent-inflicted damage found that many enterprise AI incidents were treated as isolated horror stories instead of systemic failures. The pattern is always the same. Agents were given too much access. They were not monitored. No one understood what they were actually doing. The result was data exfiltration, ransomware, and regulatory fines. Gartner predicts that by 2028, 25% of enterprise GenAI applications will experience at least five minor security incidents per year. The question is not whether your agents will be attacked. The question is whether you will see it coming.

Why Coasty Exists (and Why It Wins Here)

You cannot secure what you do not control. Most computer use agents are black boxes. They run in the cloud, they access your data, and you have no visibility into what they are actually doing. Coasty.ai is different. It is the #1 ranked computer use agent at 82% on OSWorld, outperforming every competitor. More importantly, Coasty gives you full control. You can run agents on your own desktop, in your own cloud VMs, or in isolated environments. You decide what each agent can and cannot access. Coasty's architecture is built for security from the ground up, not bolted on as an afterthought. It supports BYOK, so your keys never leave your environment. It provides real-time visibility into agent actions so you can spot anomalies before they become breaches. If you care about computer use agent security, you need a solution that gives you visibility, control, and isolation. Coasty is that solution.