Critiqs

Agentic AI shaking up security with fresh risks and rewards

agentic-ai-shaking-up-security-with-fresh-risks-and-rewards
  • Agentic AI can automate complex security tasks but adds bias, opacity, and new attack tactics like prompt injections.
  • Security gaps in integrations such as MCP are exposing sensitive data and costing companies millions in remediation.
  • Experts urge stronger oversight, as rushed AI deployments and poor controls expand risks across connected systems.

A major shift underway across the tech landscape is the adoption of Model Context Protocol, better known as MCP, which allows these agents to hook into databases and external tools more smoothly. This technology, introduced by integration protocol for AI agents in 2024, was intended to streamline integration but has opened up new vulnerabilities. Flaws in how companies set up MCP connections have already resulted in widespread data exposures, with estimates placing remediation costs in the millions.

Recent incidents show that attackers can plant their traps in public repositories or cloud services, knowing that an AI agent connecting through MCP could stumble upon these hidden prompts and unwittingly help carry out a breach. Exposed servers that should have been locked down have been found accessible on internal networks, creating open invitations for attackers.

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