Can Your AI Handle Vibe Hacking?

What’s Trending

AI is changing enterprise security, and not for the better. A recent Lenovo study shows that 65% of IT leaders believe their current security can't handle AI-powered attacks. Only 31% feel ready to respond. Meanwhile, Anthropic’s “vibe hacking” report highlights how attackers can trick large language models (LLMs) to get around security and steal sensitive information. This isn't just a theory. It's happening in real systems like Slack AI. Most companies are unprepared.

In response, SoftServe’s Gen AI Lab developed a framework for securing LLM systems, which was accepted at Foundation for Large Language Models (FLLM) 2025. The report found that even cloud-based guardrails may miss critical attack vectors. For strong AI security at the enterprise level, you need custom guardrails and mitigation strategies that cover the entire life cycle.

Market Disruption or Hype?

Disruption. AI threats are evolving fast and outpacing traditional defenses. Attackers now use large language models (LLMs) to create polymorphic malware, deepfake phishing, and insider exploits. Businesses that rely on basic cloud security or old security systems are at risk.

What It Means for Your Business

You should shift from reactive defense to proactive resilience:

Opportunities

Hurdles

SoftServe’s Approach

We're building safe AI for the future with:

• Recommended framework for LLM security
• A RACI matrix for cross-functional risk mitigation
• Cloud services and strong security measures to reduce the risk of breaches.

Start a conversation with us