Straiker secures productivity agents

Secure the agents with the most enterprise access.

Runtime security for MS Copilot, ChatGPT Enterprise, Salesforce Agentforce, Slack AI, Claude Cowork + Desktop, and more, with subsecond detection and full visibility into agent behavior.

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Problem

Productivity agents are embedded across your SaaS stack with broad access to email, documents, calendars, and business systems. The risk isn't the model. It's what the agent does with your data.

Solution

Straiker protects productivity agents at runtime, detects anomalous behavior, and gives security teams full visibility into what agents are accessing and doing across your environment.

What's at stake when productivity agents are unsecured

When your team uses:

risk 01

Hidden instructions and prompt injections

Attackers don't need malware. A single email, calendar invite, or shared document can carry hidden instructions that productivity AI agents execute as legitimate commands. No clicks required, no files to scan, no traditional threat to detect.

Risk 02

Silent data exfiltration, zero alerts

The attack surface for productivity AI agents is fundamentally different. An agent can chain email to cloud storage to outbound sharing in a single workflow, and every step looks like normal business activity. There are no IOCs to trigger and no user confirmation required.

Risk 03

Ungoverned access across the enterprise

Productivity agents connect to your most sensitive systems (email, CRM, file storage, ticketing) through connectors that often have broader access than intended. Most security teams have no visibility into what these agents are accessing or sharing.

Questions Straiker helps you answer

Which productivity agents are active in my environment, and what are they connected to?

Can an agent access sensitive data through connectors like Box, Drive, or Salesforce?

If an agent is compromised through a single email, what's the blast radius?

Are agents sharing or exfiltrating data through cross-connector workflows?

Do I have visibility into agent usage patterns across my workforce?

Can I prove to auditors that productivity agents are monitored and governed?

faq

What productivity agents does Straiker support?

Straiker currently supports MS Copilot (browser, standalone, Office suite), Copilot Studio, ChatGPT Enterprise and Atlas, Salesforce Agentforce, Slack AI, Claude Cowork + Desktop, and Enterprise Claude, with new agent coverage added regularly.

How does Straiker detect attacks that look like normal agent behavior?

Straiker's semantic detection analyzes the intent behind agent actions, not just the actions themselves. Combined with User Behavior Analytics, Straiker distinguishes between legitimate workflows and exploitation, even when individual steps look valid. This is what makes AI agent monitoring for productivity agents fundamentally different from traditional security.

What types of attacks can Straiker detect on productivity agents?

Straiker detects and blocks indirect prompt injection via content (emails, documents, calendar invites), data exfiltration through cross-connector pivots, unauthorized system access, tool misuse, harmful content generation, and anomalous usage patterns, all at subsecond latency. These detections are continuously informed by STAR Labs findings, including documented zero-click exfiltration chains that achieved a high success rate with zero IOCs.

Can Straiker see which connectors and OAuth scopes my agents have access to?

Discover AI maps the connectors, tools, and data sources your productivity agents access, giving security teams visibility into what each agent can reach and helping identify overprivileged access. This is a critical layer of SaaS agent security that DLP and CASB tools don't provide.

How is this different from my existing DLP or CASB solution?

DLP and CASB tools monitor data flows between users and cloud applications. Productivity agents create a new layer: they read, reason, and act on content autonomously, chaining actions across multiple systems in ways traditional DLP can't track. Straiker monitors the agent's behavior, tool usage, and cross-connector actions in real time. It's copilot security built for how these agents actually operate.

What about ungoverned or unapproved agent usage?

Discover AI provides visibility into your full AI agent footprint, including unapproved agent usage across your organization. Agentic traces map which agents are active, what they're connected to, and how they're being used, giving security teams the foundation for enterprise AI governance.

How does Straiker deploy for productivity agents?

Straiker deploys via a lightweight sensor, browser extension, or API gateway alongside your existing agent infrastructure. No changes to the agent itself are required, and detection runs inline with subsecond latency. Most deployments are live within minutes.

Join the Frontlines of Agentic Security

You’re building at the edge of AI. Forward-thinking teams use Straiker to secure AI agents, detect emerging attack paths, and safely scale agentic AI across their organization. With Straiker, you have the confidence to deploy fast and scale safely.