Sweet Attack The AI Red Team Agent Attackers Wish They Had
The first AI Red Team agent that combines Mythos-grade models with a whiteboxed adversarial approach - powered from within production, powered by Sweet’s runtime intelligence.
The Answer to the Mythos Question
Identify the exploitable attack paths attackers can actually use in your production environment with live runtime intelligence and validated attack paths.
Replace point-in-time red teaming with continuous adversarial validation that delivers ongoing coverage and real attack-path evidence across production.
Focus security teams on exploitable attack paths instead of vulnerability counts — moving from reactive remediation to proactive breach prevention.
Sweet Attack continuously validates exploitable attack paths at AI speed, helping organizations stay ahead of emerging AI-driven threats.
Get Mythos Ready, Today
Drop your details to learn about Sweet's AI red team agent
Customers say
"Cast & Crew has engaged tier-one offensive security firms for years. Sweet Attack surfaced exploitable attack paths in three days that prior engagements had not identified, and paired the findings with a concrete, prioritized remediation plan we were able to action immediately. The combination of depth and operational usability is what set the engagement apart."
"While we always had visibility into our vulnerabilities, we lacked the necessary context for consistent and effective prioritization. Our teams often struggled to balance endless remediations with product deadlines because validating every attack path was impossible. Sweet Attack changed this by quickly surfacing verified, exploitable paths. This shifted our focus from simply 'remediating vulnerabilities' to 'preventing breaches'. In a world where AI accelerates the threat landscape, discovering and remediating these attack paths before attackers exploit them matters most."
Continuous Adversarial Validation
Continuously execute and validate real attack paths across Cloud and AI applications, APIs, identities, and infrastructure - safely, automatically, and at AI speed.
Built From Runtime Intelligence
Powered by the runtime intelligence continuously indexed by the Sweet platform, including live application behavior, Layer 7 traffic, service topology, and identity relationships attackers spend months trying to uncover.
Targeted Mitigation and Remediation
Every validated attack path includes structured evidence, runtime context, and actionable remediation guidance so teams can quickly prioritize and close real, exploitable risk.
Get Mythos Ready
FAQs
What is Sweet Attack?
Sweet Attack is an AI-powered adversarial validation system that continuously identifies exploitable attack paths across cloud and AI environments using the runtime intelligence indexed by the Sweet platform. Rather than evaluating findings in isolation, Sweet Attack validates how vulnerabilities, identities, APIs, permissions, and infrastructure conditions can combine into real-world compromise paths.
How is Sweet Attack different from traditional penetration testing and other AI red-team tools?
Traditional penetration tests are periodic and manual, while most AI red-team tools still operate like external attackers with limited visibility into the environment. Powered by the runtime intelligence already indexed by the Sweet platform, Sweet Attack continuously validates real attack paths across production environments to identify what is actually reachable and exploitable.
Does Sweet Attack safely operate in production environments?
Yes. Sweet Attack incrementally validates attack paths inside production environments while operating within controlled execution boundaries. If a path cannot be safely exercised, it is abandoned. If access can expand safely, Sweet Attack continues validating how compromise could progress. This approach mirrors real attacker behavior while avoiding blind exploration and unsafe execution.
What kinds of attack paths can Sweet Attack identify?
Sweet Attack validates multi-step attack paths across applications, APIs, identities, cloud infrastructure, runtime workloads, and AI systems.
Examples observed in production environments include:
- SSRF leading to remote code execution
- Cloud identity compromise through instance metadata exposure
- Broken Object Level Authorization (BOLA)
- Lateral movement across internal services
- Exposure chaining across application and infrastructure layers
What evidence does Sweet Attack provide?
Every validated attack path includes structured, audit-ready evidence detailing:
- The attack chain explored
- Runtime conditions observed
- Reachability and exploitability validation
- Systems and identities involved
- Concrete remediation guidance
This gives security teams actionable proof instead of theoretical findings.
Why is runtime intelligence important for adversarial validation?
AI alone is not enough for effective adversarial testing. Without visibility into the environment, AI becomes a smarter blind scanner.
Sweet Attack operates with the runtime intelligence already collected by the Sweet platform, including:
- Runtime sensor data
- Asset inventory
- API traffic
- Source code visibility
- Identity relationships
- Live application behavior
This allows Sweet Attack to reason about attack paths the way real attackers do.
How does Sweet Attack help organizations prepare for AI-driven attackers?
AI has compressed attack discovery from weeks to minutes, fundamentally changing offensive security.
Sweet Attack continuously validates exploitable attack paths at AI speed, helping organizations proactively identify and close security gaps before attackers can exploit them.
Does Sweet Attack generate significant compute or AI token costs?
No. Sweet Attack is designed to operate efficiently by leveraging the runtime intelligence already indexed by the Sweet platform instead of blindly scanning or exhaustively probing environments.
Rather than brute-forcing exploration, Sweet Attack incrementally validates only the attack paths that are reachable and relevant, allowing compute and AI token usage to remain focused, bounded, and operationally efficient.