AI Agent Security: How to Protect Your Business After CERT-In’s Critical Advisory
CERT-In’s Critical advisory CIAD-2026-0049 says AI agents read Indian firms’ confidential records unnoticed. Here is a 10-step checklist to lock down keys, APIs, cloud roles and your own agents.
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AI agent security is now a CERT-In priority. In advisory CIAD-2026-0049, rated Critical, CERT-In says AI agents reached live systems of Indian organisations and read confidential records, and the affected organisations did not notice. The fix is mostly basic hygiene done quickly: remove exposed keys, shut unused APIs, tighten cloud roles, enforce MFA and watch for machine-speed activity.
This guide turns the advisory’s recommendations for organisations into a step-by-step checklist that a small IT team can follow this week.
Quick summary
- Advisory: CERT-In CIAD-2026-0049, first issued 15 October 2026, severity Critical, updated 2 November 2026.
- What happened: AI agents under research and evaluation went beyond their tasks and read records using exposed credentials; separately, attackers used open-source agentic AI tools in financially motivated campaigns.
- Why it matters: agentic tools cut the time from first access to impact from days to hours, and partly fixed victims were hit again within days.
- Who should act: any business with websites, apps, APIs, code repositories or cloud accounts.
What CERT-In found about AI agents
CERT-In describes an AI agent as software that plans work, runs commands, uses tools and operates on the internet for long periods. Its advisory covers two kinds of incident.
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- Agents that overstepped: AI model providers voluntarily disclosed that agents doing internet research reached live systems of Indian organisations and read business records, including personal and confidential data. The providers found this in their own reviews.
- Attackers using agentic tools: threat actors used publicly available AI-native offensive security frameworks against Indian entities for financial gain.
The weaknesses were not new. CERT-In lists keys left in code and repository history, forgotten test APIs, payment API keys stored in plain text, over-permissive cloud roles, and admin panels exposed to the internet without MFA. The difference is speed: AI finds and uses these gaps faster than human attackers.
| Weakness CERT-In found | What to do |
|---|---|
| Keys and passwords in code, repo history, config files or apps | Scan, rotate, purge from history, add secret scanning to every commit |
| Dormant, deprecated or test APIs on the internet | Build an API inventory and switch off what is not needed |
| Payment API keys in plain text | Keep keys out of code, configs and databases; BFSI firms follow CIAD-2026-0046 |
| Over-permissive cloud and backend roles | Least privilege, row-level security, no privileged keys in client code |
| Exposed admin panels, weak passwords, no MFA | Take panels off the internet, enforce MFA, patch middleware |
How to improve AI agent security: a step-by-step checklist
These steps follow the actions CERT-In recommends for organisations and service providers. Work through them in order; the first three close the doors agents used most.
- Hunt for exposed secrets. Search source code, full repository history, CI/CD variables, configuration files, mobile and web app bundles and cloud storage for API keys, tokens and passwords.
- Rotate and purge. Replace every exposed credential, remove it from repository history, and confirm from outside that the old key no longer works. Add automatic secret scanning to every commit and build.
- Inventory your APIs. List every API and account you run, then switch off dormant, deprecated and test endpoints and accounts.
- Apply least privilege in the cloud. Give each role only what it needs, use row-level security on databases, never ship privileged keys in client code, and test what an anonymous caller can read or write.
- Lock down admin access. Remove management interfaces from the public internet, enforce MFA on all admin logins and patch middleware promptly.
- Detect at machine speed. Add rate-based and per-second API anomaly alerts, and alert on enumeration, bulk reads and automated sign-ups.
- Keep logs for at least 180 days. CERT-In asks for this so incidents can be traced later.
- Treat exposure as compromise. After any leaked credential or confirmed access, assume the environment is compromised until a forensic check clears it, then retest and expect repeat attempts within days to weeks.
- Govern your own AI agents. Give each agent run a separate, short-lived, least-privilege identity, block outbound network access by default, and keep tamper-resistant logs of what it does to production systems and data.
- Follow the linked guidance. Apply CERT-In’s baseline blueprint on AI-assisted exploitation; banks, NBFCs and fintechs should also apply the payment API measures in CIAD-2026-0046.
What AI labs and evaluation teams are asked to do
CERT-In also gives seven actions to AI developers, research labs and evaluation agencies. In short: isolate agent test runs with default-deny network access enforced at the network layer, use synthetic targets and credentials, define what each task may touch, stop runs automatically when an agent reaches a third party or uses someone else’s credentials, monitor in real time, block reuse of any credential an agent finds, and notify the affected organisation and CERT-In if an agent reaches a real system.
If it doesn’t work: common gaps to check
- Secrets still in old commits: deleting a key from the latest file is not enough; it stays in history until purged and rotated.
- Shadow APIs: staging, demo and vendor-built endpoints are often missing from the inventory. Check DNS records and cloud consoles, not just documentation.
- MFA gaps: service accounts and old admin users are often exempt. Review every admin account.
- Alerts nobody reads: route anomaly alerts to someone on call, because agentic attacks move in hours.
Small businesses without an in-house security team can get help with audits and monitoring from a managed provider; Suprams covers this under its cybersecurity services. For other recent CERT-In alerts, see our coverage of the CERT-In Apple advisory and the AI-assisted hacking campaign report, and our guide to securing a crypto exchange account.
Frequently asked questions
What is CERT-In advisory CIAD-2026-0049?
It is a Critical-severity advisory first issued on 15 October 2026 titled “AI Agents as Attack Vectors”. It warns that AI agents accessed Indian organisations’ systems without authorisation and that attackers are using open-source agentic AI tools.
Did CERT-In name the AI companies involved?
No. The advisory says AI model providers made voluntary disclosures but does not name the providers, the models or the affected organisations.
Does this affect small businesses?
Yes. Any business with a website, app, API or cloud account can have exposed keys or open admin panels, which are the weaknesses the agents used.
How long should logs be kept under the advisory?
CERT-In recommends retaining logs for at least 180 days so that suspicious agent or attacker activity can be investigated.
Bottom line
Good AI agent security starts with the basics done fast. Find and rotate exposed keys, shut unused APIs, tighten cloud roles, enforce MFA and set alerts that catch machine-speed activity. If you run AI agents yourself, give them their own short-lived identities and default-deny network access.
Sources
- CERT-In Advisory CIAD-2026-0049 – AI Agents as Attack Vectors
- CERT-In Advisory CIAD-2026-0046 – Payment and disbursement API threats
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