Cross-surface activity collection
Collects activity from model interactions, tool and MCP calls, and developer endpoints, including agent use in IDEs, command-line tools, and CI.
Adversa AI
Freemium
Early-access runtime controls for approved AI coding agents, with chain-level risk analysis.
What is Adversa AI?
Adversa AI is an AI security platform whose current runtime offering focuses on coding agents such as Claude Code, Copilot, Cursor, and Codex. It connects model interactions, tool and MCP calls, and endpoint actions into a decision graph, scores related activity as a chain, and applies configured policies.
The coding-agent platform is in early access. Pilots are scoped to an approved development team and begin in observe mode, recording activity and would-have-blocked events. Teams can then choose warning, denial, or human approval for selected policies. The platform combines an agent security gateway and endpoint sensors; its attack-based defaults draw on Adversa AI’s red-team research.
What can Adversa AI do?
Chain-level risk analysis
Builds an agent decision graph connecting actions with their inputs and effects, then scores risk across related model, tool, and endpoint activity as the chain forms.
Scoped policy enforcement
Start with observation and logs, then enable warning, denial, or human-in-the-loop actions. Enforcement and risk thresholds can be configured by policy, environment, and team.
Audit and incident evidence
Records agent actions and provides detections with the associated chain, triggered rule, and evidence. Events can be sent to a SIEM, and verdicts can feed EDR and SOC workflows.
Prebuilt and custom policies
Use attack-based defaults maintained by the red team or describe a policy in plain English. Generated policies are validated, simulated, versioned, and approved before activation.
Gateway and endpoint deployment
Run the gateway on your infrastructure or in the cloud, alongside endpoint sensors for agent actions on developer machines and CI. The platform also describes support for air-gapped environments.
Use Cases
“Evaluate a coding-agent rollout”
Start with one approved development team in observe mode. Review recorded actions and the would-have-blocked list before selecting policies for enforcement.
“Review potential secret-exposure chains”
Connect an agent’s access to a credential with a later commit or tool call. Apply configured policies to risky action chains and inspect the rule and evidence.
“Reduce risk from destructive commands”
Apply scoped runtime policies to risky agent activity such as destructive commands, task expansion, or runaway loops. Detection and response depend on enrolled activity and the selected enforcement settings.
“Investigate agent activity”
Use the recorded action chain, rule, and supporting evidence to understand what an agent did and provide a reviewable account for security or audit workflows.
Frequently Asked Questions
Which agents and activity does Adversa AI cover?
It names approved Claude Code, Copilot, Cursor, and Codex agents. Its collection architecture covers model traffic, tools and MCP, and agent endpoint activity in IDEs, CLI tools, and CI. The runtime product focuses on enrolled coding agents; it does not claim discovery of every unknown agent or coverage of all business agents.
How can I test enforcement before blocking?
Pilots begin in observe mode so teams can inspect events, would-have-blocked actions, and false positives on their own traffic. Policies can then warn, deny, or require human approval, scoped by policy, environment, and team.
How is the current platform available?
It is in early access, with scoped, observe-first pilots run with the founding team. Deployment uses an agent security gateway and endpoint sensors, on your infrastructure or in the cloud. The public entry is a demo and pilot discussion.
What happens if inspection becomes unavailable?
The platform describes a fail-open design: a crash or overload does not block a developer. That operating choice matters when evaluating which other controls must remain in place.
Does Adversa AI replace a gateway, EDR, SIEM, or DLP?
It adds chain-level runtime controls and evidence to the existing stack. It can read from an existing AI gateway or run as one, send events to a SIEM, and feed verdicts into EDR and SOC workflows. It does not replace the other security tools.
Quick Facts
- Product focus
- Runtime security for approved coding agents
- Primary users
- Security leaders, AppSec, and engineering/platform teams
- Availability
- Early access; founding-team scoped pilots
- Enforcement
- Observe first; configured warning, denial, or human approval
- Architecture
- Agent gateway and endpoint sensors
- Failure behavior
- Fail-open design
Adversa AI Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 68
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