Sweet Security Launches Continuous Agentic AI Red Teaming Tool
Summary
Sweet Security says Sweet Attack uses runtime data from customer environments to continuously assess exploitable attack paths. The company says the tool is available to its customers; a beta tester reported finding attack chains and receiving remediation guidance.
Key points
- Sweet Security says Sweet Attack continuously performs agentic red teaming using an index of customer runtime infrastructure, including topology, code, identity paths and application behavior.
- The company says the system evaluates attack paths against the actual environment and updates assessments as new runtime components appear.
- Sweet Security says the tool can discover undocumented assets and behaviors, including shadow AI, agents, MCP servers, tools, packages and APIs.
- The company presents exploitability context as a way to prioritize vulnerability remediation and reassess vulnerabilities when infrastructure changes.
- A Cast & Crew CISO quoted in the article said a three-day beta test surfaced exploitable attack chains missed by annual red-team engagements and produced a remediation plan; this is a customer testimonial.
Article Details
- Event Type
- Sweet Security launched Sweet Attack, an agentic AI red-teaming product, for its customers.
- Impact
- Sweet Attack is described as continuously analyzing customers’ runtime environments to identify exploitable attack paths and provide remediation guidance. Sweet Security says it can surface attack chains missed by annual red-team engagements; a beta tester at Cast & Crew reported that the product found fully exploitable chains and that the recommended remediation plan secured the environment within two hours. These benefits are claims reported in the article.