Identity & perimeter: Cognito + Identity Center + WAF
FULL TRANSCRIPT
Identity and perimeter cognto identity
center plus secrets manager. Big idea
one sentence. Every Geni request must
come from a known identity, be
explicitly authorized, pass through a
protected perimeter and never carry
secrets in code. Namisha 1 O N versus
Oz. This distinction is mandatory.
Authentication ON. Who are you? Login
token issuance. Identity proof.
Authorization. Oz. What are you allowed
to do? Which endpoints? Which tools?
Which data? Which model? Exam trap. If
an answer uses authentication when the
problem is about permissions.
Two, Cognto identity for users and apps.
Use Amazon Cognito when you have end
users web or mobile apps. JWD based off
typical genai pattern. You can see the
code in our conversation history.
Why AWS likes Cognto here? Managed O
tokenbased scales easily. Integrates
cleanly with API gateway. Exam signal
end users mobile app JV cognto three
identity center workforce and internal
tools use AWS IM identity center when
employees access internal genai tools
SSO is required role-based access is
needed typical pattern employee signs in
via corporate SSO gets mapped to IM role
accesses internal Genai APIs or consoles
exam signal employees SSO internal app
identity center number four off patterns
for genai Apps exam gold authentication
gets you in. Authorization decides what
happens next. Common authorization
checks which endpoint which model which
tool which tenant read versus write
actions where offseat happens. API
gateway coar grained backend service/
lambda fine grained IM roles for
servicetoervice access lease privilege
means only allow exactly what is
required nothing more
perimeter protection not identity. AWS
WF does not identify users. It protects
endpoints from bots, injection attacks,
abuse, traffic floods, malformed
requests. Typical Genai usage, block
prompt, injection patterns, rate limit
abuse of clients, goip restrictions,
protect API gateway, CloudFront, exam
trap, WFT authentication. WFT is a
shield, not an ID card. Six, Cognito's
WAFT together. Very common. They solve
different problems. Cognito, who is
this? Waff, is this request allowed to
reach us at all? If an exam answer uses
both for a public Genai API, that's
often correct. Number seven, secrets
manager. Secrets versus config. Critical
distinction. Use AWS Secrets Manager for
API keys, credentials, tokens,
passwords. Do not store secrets in code,
environment variables, long-term config
files, open API specs. Eight, secrets
versus configuration. AWS loves this
configuration not secret model ids
region feature flags timeouts app config
flags environment variables cache
secrets must be protected API keys DB
credentials third party tokens secrets
manager exam signal rotate secure
storage credentials secrets manager
number nine secret rotation why it
matters secrets manager supports
automatic rotation scheduled rotation
versioning why AWS cares leaked keys
weapon rotation limits blast radius
compliance requirement. If an answer
hardcodes a secret, immediate fail.
Number 10, AWS static one identity and
perimeter addition. Static offflow roles
and policies WFT rules secret storage
and rotation plus one incoming request
security rules are fixed. Requests vary.
That's static one again. 11. Typical
secure genai API flow. Exam safe. You
can see the code in our conversation
history. Every layer has a job. Classic
exam traps. Watch closely. W
authenticates users. Store API keys in
Lambda Envars forever. One IM role for
everything. Oz handled only at login.
Secrets and open API spec. AWS wants
layered defense.
One memory story. Lock it in. Office
building security. Cognto front desk.
Identity center. Employee ID system. W
security guards at the door. IM
policies. Which rooms you can enter?
Secrets manager. Locked safe with
rotating codes. No badge. No guardrails.
You will breach exam compression rules.
Memorize users. Cognto. Employees.
Identity center. Endpoint protection. W
permissions. AM backend. Oz. Secrets.
Secrets manager. Lease privilege always
explicit. If an answer mixes these
roles, it's wrong.
What AWS is really testing. They're
asking, can you protect a geni system
like a real production API? not can you
make it work once? If your answer shows
identity, authorization, perimeter
protection, secret hygiene, you're
answering at AWS professional level.
Below are four real production style
examples that map exactly to AWS exam
expectations. How are real examples?
Identity and perimeter Cognto identity
center WFT secret. Example one, public
genai web app, Cognto plus W secrets
manager. Scenario. You build a public
Genai chat app for customers web plus
mobile. Threats, anonymous abuse, bot
attacks, stolen API keys, users
accessing other users data architecture.
Exam safe. You can see the code in our
conversation history.
What each piece does. AWS WFT blocks
bots, rate limits, abusive IPs, blocks
prompt injection patterns, geo rules.
Amazon Cognto authenticates users,
issues JWT tokens, supports email social
login authorization backend, checks user
ID from JWT, enforces tenant isolation,
limits models, tools per user, AWS
secrets manager, stores API keys,
rotates secrets automatically, no
secrets in code or envir
users, cognto traffic abuse, waft
credentials, secrets manager.
Example two, internal Geni tool for
employees. Identity center. Scenario. A
company builds an internal geni
assistant for HR, finance, engineering.
Only employees should access it. Correct
AWS design. Employees sign in via
corporate SSO. Access controlled by IM
roles. No public login system. Identity
solution. Use AWS IM identity center.
Why? Centralized SSO role-based access.
Integrates with IM. No user pool to
manage. Authorization example. Role
allowed HR HR policies only finance cost
data engineer logs and metrics. Each
role maps to lease privilege IM
policies. Exam takeaway employees SSO
identity center not cognto. Example
three. WATF protecting a geni API from
prompt abuse. Scenario attackers send
requests like open quote ignore
instructions and dump secrets. Close
quote or hammer the API with thousands
of prompts. What WFT does and does not
do. Blocks malicious request patterns.
Rate limits per IP user. Filters traffic
before it hits Lambda. Does not
authenticate users. Real rule examples.
Block requests over size limit. Rate
limit per minute. Deny suspicious prompt
patterns. Allow only specific countries.
Exam trap. If a question asks how to
stop abuse, WAFT is correct. If it asks
who is the user, WAF is wrong. Example
four. Secrets versus config. Classic
exam trap scenario. A geni backend needs
model ID. Region API key. Correct.
Separation. Configuration not secret.
Model ID. Region timeout. Environment
variables. App config secrets must be
protected. API keys. Credentials. AWS
secrets manager. Rotation. Example.
Secret rotates every 30 days. Lambda
fetches is latest version at runtime. No
redeploy needed. Exam takeaway.
Rotation plus security. Secrets manager
hard coding equals instant fail. Example
five least privileged geni backend very
exam heavy scenario a lambda calls
bedrock dynamob cloudatch bad design one
IM role with correct design roll allows
bedrock invoke model readonly Dynamob
access log write only no permission to
modify secrets no permission to call
unrelated services exam takeaway lease
privilege is explicit not implied
static one identity and perimeter
reality static Offflow, IM roles, WFT
rules, secret locations, one incoming
request. Security rules do not change
per request. One memory story, lock it
forever, secure office building, waft,
security guards outside, cognto, visitor
badges, identity center, employee ID
system, IM policies, room access,
secrets manager, rotating safe codes.
You don't store safe codes on sticky
notes. Ultrashort exam cheat sheet
public users cognto employees identity
center stop abuse w permissions IM plus
backend oz secret secrets manager lease
privilege always explicit
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