AI Agents for Cybersecurity
FISTA Solutions builds security AI agents that give analysts time back: enriching and prioritizing alerts with reasoning shown, summarizing investigations into readable narratives, drafting incident and executive reports, preparing questionnaire responses, and mapping evidence to controls — with containment always human-authorized.
- 150+
- projects delivered
- 50+
- companies served
- 99.9%
- verified uptime
- 47%
- efficiency gains
- 12+
- countries reached
What we build
What can AI agents do in cybersecurity?
Security agents enrich alerts with asset, identity, and historical context and propose priority with reasoning, turn case timelines into narratives with linked evidence, draft incident and executive reports, answer security questionnaires from approved documentation, and map evidence to control requirements.
- 01
Alert triage agent
Enriches alerts with asset, identity, and historical context and proposes a priority with reasoning shown.
SecOps - 02
Investigation summarizer
Turns case timelines into readable narratives with linked evidence, cutting post-incident report time.
IR - 03
Report drafting agent
Drafts incident and executive reports from case data with every claim traceable to an artifact.
Reporting - 04
Questionnaire response agent
Drafts answers from approved control documentation with citations for reviewer approval.
GRC - 05
Evidence mapping agent
Maps collected evidence to control requirements and flags gaps before an audit window opens.
Compliance
Requirements
What guardrails do cybersecurity agents need?
Security agents work inside the most sensitive data a company holds and could themselves be targeted, so guardrails are strict: no containment authority, read-only scopes, reasoning shown for every recommendation, and hardening against manipulation through the alerts and documents they read.
| Guardrail | Why it matters here | How FISTA implements it |
|---|---|---|
| No containment authority | Automated containment can cause outages. | Agents recommend; analysts authorize containment and remediation, with the authorizing analyst recorded. |
| Reasoning transparency | Analysts must be able to challenge a priority. | Evidence and reasoning shown with every recommendation, and abstention when signals are inconclusive. |
| Manipulation resistance | Attackers can author the content agents read. | Content sanitization, instruction and data separation, tool allowlists, and anomaly monitoring on agent behavior. |
| Least privilege | Agent credentials are high value. | Scoped, short-lived credentials per tool, no standing administrative access, and full access logging. |
| Evidence integrity | Reports may support legal action. | Append-only evidence references, hashing, timestamping, and chain-of-custody metadata retained. |
Where AI fits
Which cybersecurity workflow should you automate first?
Start with alert enrichment. It measurably shortens triage, requires no action authority, and produces the evaluation data needed before anyone considers giving an agent more scope.
- 01
1. Enrich alerts
Context assembly alone saves minutes per alert across the highest-volume queues.
- 02
2. Propose priorities
With reasoning shown, measured against analyst decisions on a labeled set.
- 03
3. Summarize investigations
Narrative assembly after the fact, where errors are caught in review.
- 04
4. Draft reports and questionnaires
Writing-heavy work with citations to approved documentation.
- 05
5. Map evidence continuously
Gap detection ahead of audits, with humans confirming coverage.
Cost and timeline
How much does an AI agent for cybersecurity cost, and how long does it take?
Cost is driven by telemetry access, integration count, and evaluation depth; timeline by access to representative data. FISTA does not quote blind: the scoping call returns an agent design, a hardening plan, and a phased estimate.
Representative data access is the schedule risk. Security agents built against synthetic alerts behave differently in production, so FISTA plans for anonymized or replayed data early.
Hardening the agent itself is non-negotiable work. Credentials, tool scopes, sanitization, and monitoring are part of the build, because a compromised agent with SIEM access is an attacker's ideal foothold.
Send the scope you have, even if it is a paragraph. You get a written brief, an architecture sketch, and a phased estimate before any commitment.
Get a scoped quoteDelivery
How does FISTA deliver an AI agent into production?
FISTA delivers agents in four gated phases: a discovery sprint that picks the workflow and writes the agent specification, a design that names tools, permissions, and approval points, a build with an evaluation harness and shadow runs on real work, and a production release with traces, dashboards, and rollback.
- 1
Select and specify
Choose the workflow with a measurable outcome, map its systems and edge cases, and write the agent spec with success metrics.
OutputAgent specification, golden test set
- 2
Design the guardrails
Tool inventory with least-privilege scopes, approval gates, escalation paths, data handling, and the evaluation plan.
OutputTool and permission matrix
- 3
Build and shadow-run
Implement tools as MCP servers or connectors, iterate against the evaluation harness, and run in shadow mode on live inputs.
OutputShadow-mode results, eval scores
- 4
Release and observe
Graduated rollout, full traces, cost and quality dashboards, on-call runbook, and a change process that re-runs the evals.
OutputProduction agent with SLOs
Why FISTA
Why choose FISTA Solutions to build your cybersecurity agents?
FISTA builds security agents hardened as carefully as the systems they protect, with no containment authority and reasoning shown on every recommendation. Work is contracted through a US entity with full IP assignment.
Cybersecurity specifics
- Agents never contain or remediate; analysts authorize, and the record names them.
- Every recommendation shows its evidence and reasoning, and the agent abstains when signals are inconclusive.
- Agent credentials are scoped and short-lived, with no standing administrative access and full logging.
- Content from alerts and documents is treated as untrusted, with sanitization and behavior monitoring.
How FISTA engineers
- Spec-Driven Development: every deliverable starts as a written specification with acceptance criteria, so scope is testable before it is built.
- AI-native delivery: engineers direct coding agents under review gates and evaluation harnesses, compressing build time without loosening verification.
- Official Anthropic partner, with production experience across Claude, OpenAI, Google, and open-weight models, chosen per workload rather than by default.
- One accountable delivery lead, weekly demos on your environment, and code in your repositories from week one.
What you get as a client
- 150+ projects delivered for 50+ companies across 12+ countries since 2017, with 99.9% verified uptime on systems we operate.
- A US entity (FISTA Solutions Inc., Wilmington, Delaware) for contracting, invoicing, and IP assignment, with an engineering center in Faisalabad, Pakistan for cost-efficient senior capacity.
- US business-hours overlap for standups and reviews; written decision logs so nothing depends on a meeting you missed.
- Flexible engagement: fixed-scope build, embedded forward deployed engineers, or a dedicated team that you can scale month to month.
Clear answers
What teams ask before deploying agents.
Straightforward guidance for evaluating scope, fit, and the next step.
01Can an agent contain a compromised host?
Not autonomously in a FISTA deployment. It can prepare the containment action with evidence for one-click analyst authorization. Automated containment causes outages and is a decision most security leaders keep with people.
02How do you stop attackers manipulating the agent?
Content from alerts, tickets, and documents is treated as untrusted: sanitized, separated from instructions, restricted to allowlisted tools, and monitored for anomalous behavior. Agent credentials are scoped and short-lived.
03How accurate is AI triage?
Measured against analyst decisions on a labeled set from your own alerts, reported per category, with reasoning shown so analysts can challenge any recommendation rather than accept a score.
04Can agents help with compliance evidence?
Yes — mapping collected evidence to control requirements, flagging gaps before audit windows, and drafting questionnaire responses from approved documentation with citations for reviewer approval.
05How long until it helps the SOC?
Alert enrichment typically shows measurable benefit within weeks once telemetry access exists. Prioritization follows the labeled evaluation, which discovery scopes.
Scoped in writing before you commit
Give analysts back the minutes that alerts steal.
Bring the alert volume or the reporting burden. The scoping call returns an agent design, a hardening plan, and a phased estimate.