AI has changed how we build, communicate, and defend.
“Vibe coding,” the emerging shorthand for using AI to generate and refine code based on high-level descriptions and feedback, epitomizes this shift. You describe what you want, and AI brings it to life. But like every powerful technology, there’s a darker reflection.
Enter “vibe hacking,” the evil twin of vibe coding. It’s what happens when that same generative power used to accelerate development is weaponized to deceive, manipulate, and exploit.
While much of the public conversation frames vibe hacking as just another AI-enabled attack vector, its real threat runs deeper. Vibe hacking represents a paradigm shift in cyber offense, from targeting systems to targeting trust. Attackers are no longer just breaking into networks, they’re breaking into human and machine perception, using AI to mirror tone, context, and emotion so precisely that traditional defenses don’t even trigger.
For decades, cyberattacks have been defined by technical sophistication. Now, we’re witnessing a shift from code-level to context-level manipulation. Instead of brute-forcing passwords, attackers are manipulating trust. With vibe hacking, AI models trained on vast troves of language, behavioral data, and organizational communications can replicate how teams sound, how executives write, and how systems “talk.”
Consider an attack scenario: An attacker compromises an enterprise AI assistant or chatbot through a leaked API key. From there, the attacker uses natural language prompts to orchestrate an end-to-end campaign. They direct the AI to perform reconnaissance on internal tools, scan for vulnerabilities, request firewall rule changes, or even exfiltrate data, all disguised as routine, urgent operations requests.
To the untrained eye, or even another AI agent, this interaction feels legitimate. The “vibe” is right, which is the inherent danger of vibe hacking.
Traditional attacks often used to require extensive scripting and coordination. Now, with generative AI, an attacker can prompt their way through the entire kill chain.
Using natural language, they can direct an AI to:
This level of orchestration used to require a team of skilled operators. Now, it’s achievable through prompts, turning AI into a force multiplier for attackers.
Even more concerning is how accessible vibe hacking has become. Just as low-code tools democratized software creation, prompt-based orchestration is democratizing cyberattacks. Coding skills are no longer required. Anyone with access to generative tools and malicious intent can deploy psychological and technical attacks at scale.
In this new landscape, every human and machine identity becomes a potential entry point. Anything with credentials, permissions, or access is fair game.
For example, a vibe hacker could prompt a DevOps bot to quickly fetch configuration details for an emergency fix or request temporary credentials for a workload. If the request sounds operationally legitimate using the right words, tone, and urgency, it’s far likelier to slip through.
The fight against vibe hacking can’t rely on traditional perimeters or endpoint defenses. The solution lies in shifting from securing systems to securing trust itself.
This starts with rethinking privilege:
When every human and machine identity operates with the bare minimum access needed to perform its function, any damage from a manipulated or compromised actor is contained. Tight, time-bound, and context-aware permissions prevent attackers from escalating control, even if they’ve successfully manipulated trust.
Many AI-driven attacks rely on automation loops where a compromised AI agency continuously executes malicious prompts. Vaulting secrets and rotating credentials frequently disrupts this loop. When secrets are hidden from both humans and bots, compromised agents lose the ability to reuse or chain prompts to gain persistent access.
Ephemeral credentials that expire quickly remove one of vibe hacking’s biggest advantages: persistence. By issuing short-lived, purpose-built access tokens, organizations can ensure that even if trust is manipulated, the window for exploitation shuts before it can cause real damage.
Modern defenses need to go beyond static verification. Identity intelligence can detect when something feels off by monitoring behavioral and contextual signals across all identities. Sudden changes in tone, access behavior, or task requests can indicate that a human, bot, or AI agent is being manipulated. Detecting these subtle shifts turns defense from reactive to predictive.
Vibe hacking underscores today’s reality: the new battleground in cybersecurity isn’t the endpoint, it’s perception. Attackers have learned that if they can control the tone, urgency, and “vibe,” they can control behavior.
The organizations best positioned to defend against this aren’t those with the strongest foundations of trust and privilege. Check out how the Delinea Platform can help enterprises enforce least privilege, continuously authorize access, and monitor every human and machine identity for anomalies to limit the blast radius of even the most convincing manipulations.