Your AI Can Act.
Can You Control What Happens Next?
AI is accessing data, calling tools, connecting systems, generating conclusions, and initiating actions. Alpha Sigma Security is designed to give leadership visibility and control across the complete chain.
Unexpected action chain
The Greatest AI Risk May Be What You Cannot See.
Traditional security tells you who logged in and what they accessed. AI changes the question: what information was combined, what did the system infer, what tools did it invoke, and what happened next?
Authorization Is Not Control
An authorized person using an approved AI system can still create an unauthorized consequence.
Software Can Now Act
Agents can call APIs, modify files, execute code, communicate externally, and delegate work.
Security Must Follow the Chain
Alpha Sigma is designed to connect identity, data, AI, tools, approvals, actions, and downstream impact.
Secure the Beginning. Govern Everything That Follows.
ALPHA — Establish Control
Define identity, authority, purpose, boundaries, and data scope before sensitive information is used.
SIGMA — Govern the Sum
Observe and correlate activity across the enterprise, escalate risk, preserve human judgment, and retain a defensible chain of custody.
Machine Speed Should Not Eliminate Human Judgment.
Not every AI action needs approval. Consequential ones may.
| Risk | Response | Example |
|---|---|---|
| Low | Observe | Routine summarization of approved material. |
| Elevated | Verify | Unusual but potentially legitimate access pattern. |
| High | Peer Review | Sensitive analysis affecting people, finance, healthcare, or regulated operations. |
| Critical | Authorize | Agent proposes a consequential system change or external action. |
| Outside Policy | Contain | Privilege escalation, unexpected external communication, or prohibited workflow. |
Security Has to Work for the People It Affects.
Questions
- Which AI systems can take action inside our company?
- Where can AI cross between data silos?
- Which agents hold sensitive credentials?
- Can we stop one immediately?
- Can we reconstruct everything it did?
Alpha Sigma Response
- Enterprise-wide visibility across AI activity and data access.
- Connected risk detection across the complete action chain.
- Human authorization for consequential activity.
- Policy-driven containment.
- Board-level risk visibility and evidence.
Questions
- What do you show that my SIEM, IAM, DLP, DSPM, or AI-security tools do not?
- How do you correlate sequences across systems?
- Can the platform start read-only?
- How do you prevent false positives?
- What happens if Alpha Sigma itself is compromised?
Design Principles
- Maximum visibility with minimum authority.
- Cross-system activity graph rather than another isolated log source.
- Deterministic rules for control; AI for context and anomaly detection.
- Customer-defined risk thresholds.
- Strong isolation and audit of the governance system itself.
Questions
- Is this protecting the company or watching me?
- Why does my work require peer review?
- Who can see my activity?
- Can I challenge an incorrect classification?
- Will this slow legitimate work?
Our Approach
- Proportional oversight, not universal surveillance.
- Focus on consequential workflows and system effects.
- Explain why activity was flagged.
- Preserve appeals and contextual review.
- Allow low-risk work to proceed with minimal friction.
Questions
- Who decides what purposes are appropriate for my data?
- Can I see which AI systems used it?
- What was derived by combining it with other data?
- Can minimum necessary access be enforced?
Our Approach
- Purpose-aware policies.
- Data lineage from source to downstream use.
- Visibility into cross-silo combinations.
- Customer-controlled sensitivity rules and authorization boundaries.
Questions
- Can the organization prove purpose, authority, review, and approval?
- How much data is retained?
- Could audit logs create new liability?
- Can privileged information remain protected?
Our Approach
- Evidence created as activity occurs.
- Minimize stored sensitive content.
- Protect chain-of-custody records.
- Customer-defined retention and policy controls.
Questions
- Is this a company or a feature?
- Why now?
- What becomes defensible?
- Why can an incumbent not simply copy it?
- What is the beachhead?
Investment Thesis
- AI is shifting from content generation toward autonomous execution.
- The number of non-human actors inside enterprises is increasing.
- The security object becomes the action chain, not only the identity or model.
- Potential moat: activity graph, behavioral history, agent identity, policy intelligence, and authorization workflows.
- Initial wedge: visibility before enforcement.
Can You Stop the Agent?
A legitimate AI agent begins moving outside its expected capability envelope. Decide when to observe, review, revoke, isolate, or terminate.
Mission
You are the security leader. The agent's original task is legitimate. Its behavior is changing.
- Watch the action chain.
- Choose proportional controls.
- Act before the agent reaches production.
0
20%
Know What Happened. Know Why. Prove It.
For consequential AI-enabled activity, Alpha Sigma is designed to preserve the relationship among who initiated the work, which agent participated, what information was accessed, what tools were used, who reviewed it, and what action occurred.
Do You Know What Your AI Is Doing?
Alpha Sigma Security is a concept-stage enterprise security company focused on autonomous intelligence, data governance, human authorization, and consequence management.
Secure at Alpha. Accountable through Sigma.