The Mythos Moment marks the turning point at which the industry finally grasped that human-led cybersecurity teams simply cannot keep up with the pace and scale of AI-powered cyberattacks.
In response to this realization, the CSA published guidance in The ‘AI Vulnerability Storm’: Building a ‘Mythos-ready’ Security Program, recommending: “Integrate AI agents throughout your entire security operations so defenders can match the speed of attackers and start narrowing the gap.”
This advice is sound—if your organization can implement it effectively. Amid the flood of newly discovered vulnerabilities, only a fraction will apply to any specific environment, and an even smaller subset will actually be exploitable within that setup. These are the critical ones that demand immediate remediation; the rest can be deprioritized (for now).
The real challenge lies in identifying and fixing exploitable flaws fast enough while new ones keep emerging. Agentic AI Red Teaming presents a promising theoretical approach—but it demands deep, ongoing familiarity with the particular infrastructure being tested.
Frontier AI models excel as general problem-solvers, yet they lack intimate knowledge of individual cloud environments. That means any agentic red-teaming system must be custom-tailored to its user’s unique setup. On top of that, security teams must continuously update and maintain the agent’s contextual understanding of the environment.
Sweet Security claims to offer a practical solution: Sweet Attack, an automated, continuous agentic red-teaming tool built on a dynamically updated, detailed map of each client’s real-world infrastructure.
“From day one, Sweet has been collecting runtime data directly from within our customers’ environments—network topology, unencrypted Layer 7 exposures, deployed source code, identity pathways, and live application behavior,” explains Sweet. “This rich dataset forms the foundation the agent uses to reason. While a frontier model alone can only speculate about an environment, Sweet Attack actually knows it.”
Because Sweet Security continuously gathers and maintains this full context on its own, Sweet Attack doesn’t just guess at possible attack vectors—it sees the real pathways attackers would take. As Sweet puts it: “It follows the roads that are actually traveled, where the data actually flows—not hypothetical routes with no evidence behind them. Built-in heuristics help it prioritize viable paths worth exploring and ignore dead ends. It only investigates routes that make sense.”
Since this process runs automatically at machine speed, there’s no waiting for the next scheduled human red team exercise—and no risk of oversight due to fatigue, distraction, or other human limitations.
“Many tools list every conceivable path,” said Yigael Berger, Sweet Security’s Chief AI Officer, in an interview with SecurityWeek. “Sweet Attack identifies only the paths a real attacker would actually use—because it reasons over your actual environment, not a simulated model of it.”
This ‘actual environment’ includes everything—shadow IT, undocumented AI components, rogue SaaS apps, MCP servers, APIs, packages, and other infrastructure elements that may escape human notice. Sweet Attack actively discovers these runtime assets and behaviors, even ones not formally recorded.
It does this around the clock, at high speed. If a DevOps team deploys a new vibe-coded app—or an employee quietly adopts an unapproved SaaS tool—Sweet Attack immediately reassesses potential attack chains as soon as the new component appears in the environment.
By understanding exactly which vulnerabilities are reachable via real attack paths, teams can prioritize remediation effectively. Harmless flaws can be safely set aside—knowing they’ll be reevaluated automatically if future infrastructure changes create new exposure.
One beta tester, the CISO at Cast & Crew, shared: “We’d hired third-party red teams every year, and each time they came back clean. Sweet Attack ran for just three days and uncovered fully exploitable attack chains those engagements never even approached. Better yet, it delivered a clear mitigation and remediation plan that helped us lock everything down within two hours.”
The goal of Sweet Attack is precisely what the CSA urged: “begin closing the gap” between AI-augmented attackers and defenders. It’s currently available to all Sweet Security customers.
Related: ‘Claude Mythos’ – A Cybersecurity Breakthrough That Could Also Supercharge Attacks
Related: The Mythos Moment: Enterprises Must Fight Agents with Agents
Related: Chinese Cybersecurity Firm’s AI Hacking Claims Draw Comparisons to Claude Mythos
Related: Furl Raises $10 Million for Autonomous Vulnerability Remediation
