-Content by CyberNewswire-
, the proactive runtime enforcement company for cloud and AI, today announced its further expansion into AI security with Agentic AI Blocking. Sweet now blocks rogue agent behavior in real time 鈥� extending Sweet鈥檚 runtime enforcement from the cloud to the AI agents that are acting alongside it.
Eighty percent of the world鈥檚 businesses are already AI enterprises, and their agents take on identities, reach sensitive data, and act on their own. Yet no one verifies that the behavior an agent carries out is the behavior that was intended. Every other security tool detects and alerts; by the time a team reads the alert, the agent has already acted.
鈥淎I has collapsed the cost of attack, and it has put autonomous software inside the enterprise. Someone has to decide, in the moment, what an agent is allowed to do,鈥� said Dror Kashti, CEO and co-founder of Sweet Security. 鈥淲hen an agent reaches for data it shouldn鈥檛 touch, Sweet stops the action red-handed and provides the team one line: here is what we found, and here is how we stopped it. Nothing bad happened, and nothing is waiting in a queue. That is what lets an enterprise adopt AI with confidence.鈥�
Among Sweet鈥檚 new Agentic AI Blocking capabilities:
- Terminates unauthorised tool calls and sessions at runtime
- Stops secrets, PII, and sensitive data from leaving through an agent
- Blocks prompt injections live, before they steer an agent off course
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What empowers Sweet customers to use its autonomous protection is its confident runtime knowledge. The Sweet Learning Loop continuously Attacks, Fixes and Defends, leveraging Sweet鈥檚 runtime reasoning layer that analyses over one billion runtime events daily to learn what every application and agent is intended to do.
Because Sweet holds each one to a simple bar, 鈥渄o exactly what your creator intended and nothing more,鈥� it can enforce decisively without breaking live production.
The market is converging on the same conclusion. Leading industry analysts now describe runtime inspection and enforcement as a mandatory capability for securing AI agents, and expect the winners in agent security to be products that automatically prevent risky agent behavior rather than surfacing more dashboards and alerts. Sweet goes further, enforcing across cloud and AI together in a single platform.
Sweet already enforces protection at extreme scale, including at Zoomd, where the platform protects tens of thousands of cloud applications in an environment where disruption is measured in market impact.
鈥淪weet gave us the confidence to adopt AI across the business,鈥� said Niv Sharoni, CTO at Zoomd. 鈥淲ith most tools, you find out about bad behavior in a report after the damage is done. With Sweet, it鈥檚 blocked in runtime, the moment it happens. That鈥檚 the difference between monitoring risk and actually removing it.鈥�
-This is a paid press release published via CyberNewswire-
