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Securing the AI frontier: Protecting enterprise systems against AI-driven threats
- Weaponized AI attacks targeting identities will be the greatest enterprise cybersecurity threat by 2025.
- Large Language Models (LLMs) are the new power tool of choice for rogue attackers, cybercrime syndicates and nation-state attack teams.
- 84% of IT and security leaders found AI-powered tradecraft more complex to identify and stop, according to a recent survey.
- Deepfakes lead all other forms of adversarial AI attacks, and were involved in nearly 20% of synthetic identity fraud cases.
- Synthetic identity fraud is on pace to defraud financial and commerce systems by nearly $5 billion this year alone.
- Ivanti’s recent report finds that 74% of businesses are already seeing the impact of AI-powered threats.
- Adversarial AI techniques are expected to advance faster than many organizations’ existing approaches to securing endpoints.
- Every security and IT team needs to treat endpoints as already compromised, focus on new ways to segment them and minimize vulnerabilities at the identity level.
- The answer is not necessarily spending more money, but about finding practical ways to harden existing systems.
- AI’s ability to protect identities and enforce least privileged access will become more pronounced in 2025.
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